Alternatives to Defined.ai

Our decentralized platform streamlines AI data collection and labeling through a worldwide contributor network. By combining crowdsourcing with blockchain technology, we deliver high-quality, traceable datasets. Platform Highlights: Worldwide Collection: Tap into global contributors for comprehensive data gathering Blockchain Security: Every contribution tracked and verified on-chain Quality Focus: Expert validation ensures exceptional data standards Platform Benefits: Rapid scaling of data collection Complete data providence tracking Validated datasets ready for AI use Cost-efficient global operations Flexible contributor network How It Works: Define Your Needs: Create your data collection task Community Activation: Global contributors notified and start gathering data Quality Control: Human verification layer validates all contributions Sample Review: Get dataset sample for approval Full Delivery: Complete dataset delivered once approved

Snowflake is a cloud-native data platform that combines data warehousing, data lakes, and data sharing into a single solution. By offering elastic scalability and automatic scaling, Snowflake enables businesses to handle vast amounts of data while maintaining high performance at low cost. The platform's architecture allows users to separate storage and compute, offering flexibility in managing workloads. Snowflake supports real-time data sharing and integrates seamlessly with other analytics tools, enabling teams to collaborate and gain insights from their data more efficiently. Its secure, multi-cloud architecture makes it a strong choice for enterprises looking to leverage data at scale.

ProRata.ai, headquartered in Pasadena, California, is a pioneering company focused on developing technology that ensures generative AIs appropriately attribute the content they utilize and facilitate revenue sharing on a per-user basis with the copyright holders of that material. The firm is committed to the principle that generative AIs should compensate content creators based on the usage of their works. In an innovative move, ProRata.ai is set to introduce a novel AI search engine that provides content owners with fractional attribution alongside an equitable 50/50 revenue distribution. Their cutting-edge technology evaluates the output of AIs, assesses the significance of the original content, and determines fair compensation accordingly. The rise of AI that extracts and reuses copyrighted works without giving due credit or financial rewards poses a significant threat to content creators. To ensure their survival and success in this evolving landscape, content owners must receive remuneration each time their work is utilized by AIs, similar to the compensation models established in music and film streaming industries. This approach not only protects the rights of creators but also promotes a more sustainable ecosystem for digital content.

Bright Data holds the title of the leading platform for web data, proxies, and data scraping solutions globally. Various entities, including Fortune 500 companies, educational institutions, and small enterprises, depend on Bright Data's offerings to gather essential public web data efficiently, reliably, and flexibly, enabling them to conduct research, monitor trends, analyze information, and make well-informed decisions. With a customer base exceeding 20,000 and spanning nearly all sectors, Bright Data's services cater to a diverse range of needs. Its offerings include user-friendly, no-code data solutions for business owners, as well as a sophisticated proxy and scraping framework tailored for developers and IT specialists. What sets Bright Data apart is its ability to deliver a cost-effective method for rapid and stable public web data collection at scale, seamlessly converting unstructured data into structured formats, and providing an exceptional customer experience—all while ensuring full transparency and compliance with regulations. This commitment to excellence has made Bright Data an essential tool for organizations seeking to leverage web data for strategic advantages.

ScalePost serves as a reliable hub for AI enterprises and content publishers to forge connections, facilitating access to data, revenue generation through content, and insights driven by analytics. For publishers, the platform transforms content accessibility into a source of income, granting them robust AI monetization options along with comprehensive oversight. Publishers have the ability to manage who can view their content, prevent unauthorized bot access, and approve only trusted AI agents. Emphasizing the importance of data privacy and security, ScalePost guarantees that the content remains safeguarded. Additionally, it provides tailored advice and market analysis regarding AI content licensing revenue, as well as in-depth insights into content utilization. The integration process is designed to be straightforward, allowing publishers to start monetizing their content in as little as 15 minutes. For companies focused on AI and LLMs, ScalePost offers a curated selection of verified, high-quality content that meets specific requirements. Users can efficiently collaborate with reliable publishers, significantly reducing the time and resources spent. The platform also allows for precise control, ensuring that users can access content that directly aligns with their unique needs and preferences. Ultimately, ScalePost creates a streamlined environment where both publishers and AI companies can thrive together.

clickworker is globally the largest open crowd sourcing provider. The company has a huge number of services using a "one to many" approach where your company can use many Clickworkers to achieve the outcome you desire. Most frequently, clickworker provides customized data collection, categorization, evaluation, tagging and annotation services to create AI/ML training data for Data Scientists, and also provides SEO texts, product tags, categories and surveys for online businesses and retailers. clickworker serves most industries and applications using the skills of their 4.0M+ Clickworkers. This crowd gathers data through a wide range of micro-tasks, utilizing a sophisticated crowd-sourcing platform and fully featured mobile app.

We are connecting rights holders with AI developers to ensure that those who own copyrights receive fair compensation for their creative works. This initiative supports AI developers in responsibly sourcing high-quality data while providing a detailed catalog of rights holders and their respective works. By facilitating access to premium data, we empower AI developers to enhance their projects. Rights holders maintain intricate control over which specific works can be utilized for AI training purposes. Additionally, we offer monitoring solutions to identify any unauthorized use of copyrighted content. Our platform enables rights holders to generate revenue by licensing their works for AI training through recurring subscriptions or revenue-sharing agreements. We also assist publishers in preparing their content for AI models by indexing, benchmarking, and assessing data sets to highlight their quality and worth. You can upload your catalog to the marketplace at no cost, ensuring you receive fair compensation for your work. Furthermore, you can easily opt in or out of generative AI applications and receive notifications regarding potential copyright infringements, thereby safeguarding your rights and interests in the evolving digital landscape. This comprehensive approach not only benefits rights holders but also fosters a responsible and ethical AI development ecosystem.

DataPostie is a software-as-a-service solution that allows users to securely and efficiently monetize or share their data. We seamlessly connect with any data source, type, and destination to enhance the value and speed of your data products. Transform your data into a source of revenue, as messy data remains the primary challenge for businesses looking to shift their data from being a cost to a profit center. While cleaning data across an organization is often a lengthy endeavor, we expedite the process, reducing it from years to just weeks, by concentrating on the essential data required for customer-facing products and utilizing our domain expertise. Our success stories include assisting a fashion e-commerce platform in creating a market benchmarking tool for its suppliers by aligning millions of diverse product names and developing a coherent data model for a financial data provider's complex schema in a matter of days. Such achievements illustrate our commitment to making data work effectively for businesses in record time.

We enable 8 billion individuals globally to genuinely own and exchange their data. Itheum stands as the first decentralized, cross-chain platform for data brokerage in the world. Develop web2 applications that produce structured, high-value personal insights and data. Effortlessly transition valuable data into web3 with our comprehensive suite of blockchain-driven tools. Seize control of your data and trade it through our groundbreaking peer-to-peer technology. Explore and obtain valuable data and insights through both primary and secondary data markets. Create highly adaptable applications powered by personal data with our versatile data collection and analytics toolkit, enhanced by our innovative smart data types technology. This marketplace is free and open, facilitating a secure environment for trading precious personal datasets across chains. Engage in trading numerous (potentially limitless) copies of your data directly with individuals from around the globe, fostering a new era of data ownership and exchange. With Itheum, the future of data trading is not only possible but accessible to everyone.

Generate data products swiftly from various sources without the need to relocate the data, making them accessible to everyone while retaining full oversight. Deliver impactful experiences that reveal value, while simultaneously enhancing your data mesh through effortless sharing, discovery, and governance across various domains. Encourage collaboration and speed up innovation by providing unified access to top-notch data products. Offer regulated access to AI models for every user, ensuring control over how data interacts with AI to protect intellectual property. Streamline AI workflows to quickly incorporate and refine new functionalities. Access and create data products directly from Snowflake without the hassle of data movement. Enjoy the simplicity of maximizing your data's potential, making it accessible for analysis and eliminating the necessity for centralized infrastructure and tools. Data products seamlessly integrate with various tools to uphold governance and expedite results, fostering a more efficient data environment. Thus, the approach not only enhances collaboration but also empowers users to leverage data more effectively.

Facilitate rapid and secure data sharing by creating an engaging marketplace that allows users to access data with assurance. Promote the responsible distribution of verified data products that drive analytical and AI efforts. Empower teams to independently discover, request, and assess pertinent data through self-service capabilities. Ensure that trusted data sharing is automated in compliance with governance standards. Distribute and highlight curated datasets, AI/ML models, and pipelines from a diverse array of sources. Enhance efficiency by streamlining processes from ordering to delivery while providing easy tracking of operational metrics. Foster improved data literacy through actionable insights and reviews, guiding users on optimal data-driven decisions. Use communication tools like chat, reviews, alerts, and user ratings to share insights and foster collaboration among teams across the organization. A data-sharing marketplace serves as a crucial link between data providers and consumers, allowing for seamless access to valuable information. Such a marketplace empowers organizations to swiftly locate, comprehend, trust, and utilize relevant data through automated processes, ultimately enhancing decision-making capabilities. By bridging the gap between data supply and demand, it cultivates a culture of data-driven innovation and collaboration.

Simplifying the processes of data acquisition and monetization is our primary goal. We empower data providers to increase their earnings with minimal effort through advanced AI technologies, creating a beneficial situation for all parties involved. Our solutions foster effortless discovery and insightful analysis for buyers while providing sellers with a streamlined publishing and marketing experience powered by AI. With UnionAll, launching your own branded data marketplace is a breeze, featuring tools for data discovery, AI semantic search, and data portfolio creation among others. By enhancing the data buying journey, we broaden your reach to include non-technical and novice data purchasers. Describe your business to receive tailored AI recommendations on datasets you could sell, complete with projected business outcomes. UnionAll's user-friendly interface simplifies the process of listing data, automating everything from categorization to crafting listing descriptions, thus enabling quick and efficient deployment. By leveraging our platform, you can focus on maximizing your revenue while minimizing the complexities associated with data transactions.

Easily tweak and profit from your AI models with just a single click. Designed for AI startups, machine learning engineers, and researchers, Bakery is an innovative platform that simplifies the process of fine-tuning and monetizing AI models. Users can either create new datasets or upload existing ones, modify model parameters, and share their models on a dedicated marketplace. The platform accommodates a broad range of model types and offers access to community-curated datasets to aid in project creation. Bakery’s fine-tuning process is optimized for efficiency, allowing users to construct, evaluate, and deploy models seamlessly. Additionally, the platform integrates with tools such as Hugging Face and supports decentralized storage options, promoting adaptability and growth for various AI initiatives. Bakery also fosters a collaborative environment where contributors can work together on AI models while keeping their model parameters and data confidential. This approach guarantees accurate attribution and equitable revenue sharing among all participants, enhancing the overall collaborative experience in AI development. The platform's user-friendly interface further ensures that even those new to AI can navigate the complexities of model fine-tuning and monetization with ease.

Mobito stands as a key provider of mobility data solutions, enabling organizations to effectively leverage and profit from mobility data and insights. Among its diverse offerings is the MOBITO Connected Fleet API, which delivers a unified, multi-OEM vehicle data stream tailored for specific fleet vehicles, alongside the MOBITO Anonymized Vehicle Data, which provides anonymized information sourced from a vast network of over 7 million vehicles. Furthermore, the MOBITO Data Marketplace presents access to an extensive range of over 20 data categories, enriched by partnerships with vetted and integrated sources. The Connected Fleet API simplifies data access for fleet owners and service providers by allowing them to effortlessly retrieve information from connected vehicles across various automotive brands. This innovative, hardware-free solution connects fleet managers with compatible vehicles, streamlining fleet operations and enhancing management efficiency. In addition, the Anonymized Vehicle Data features timestamped vehicle location information, also referred to as floating car data, which is collected through onboard devices in the vehicles, thus providing valuable insights into mobility patterns. As a result, organizations can make more informed decisions based on comprehensive data analytics.

Expand your reach to potential data buyers by utilizing seamless, one-click integrations for your complete data catalog on a single platform, enabling you to scale your data business effortlessly. Highlight your data offerings and connect with buyers through various channels, ensuring a consistent product catalog complete with automated data samples and dictionaries. You can publish your catalog directly on your website, making it easy to attract and engage prospective customers. With just a simple click, sync your data products to multiple marketplaces and catalogs, streamlining your distribution process. Enhance your data sales pipeline by centralizing all incoming inquiries in a unified inbox, allowing for better management and response. Share previews of your data samples across different marketplaces and monitor who is engaging with your offerings. Gain insights into the performance of your data products across various channels, focusing on visibility and conversion rates. Our subscription plans cater to data providers at every stage, from startups to those preparing for IPOs. There is a growing audience of data buyers eager to discover your offerings, and we simplify the process of enhancing your visibility in the marketplace. By leveraging our platform, you can maximize your reach and drive sales effectively.

Monda serves as the premier platform for data monetization, trusted by countless companies globally to initiate and expand their data ventures. It enables users to develop data products, launch a data storefront, seamlessly connect with data marketplaces, and effectively manage data demand, making monetization straightforward. Monda excels over competing platforms in essential areas that resonate with our clientele. It is the simplest way to establish a data-as-a-service enterprise, requiring no technical expertise for users. With Monda, you have all the tools necessary to kickstart and enhance your data business. Collaborate with global data monetization specialists for expert guidance. The platform encompasses every feature essential for securely marketing and monetizing data, all integrated into a single solution. Transform your website visitors into valuable inbound data leads while effortlessly publishing across top data sales channels. Centralize your demand generation efforts to streamline operations. Keep track of performance metrics, competitive landscape, and industry trends. Quickly and easily craft stunning data products that captivate your audience. Monda truly simplifies the complexities of the data monetization landscape, paving the way for your business's success.

The Databricks Data Intelligence Platform empowers every member of your organization to leverage data and artificial intelligence effectively. Constructed on a lakehouse architecture, it establishes a cohesive and transparent foundation for all aspects of data management and governance, enhanced by a Data Intelligence Engine that recognizes the distinct characteristics of your data. Companies that excel across various sectors will be those that harness the power of data and AI. Covering everything from ETL processes to data warehousing and generative AI, Databricks facilitates the streamlining and acceleration of your data and AI objectives. By merging generative AI with the integrative advantages of a lakehouse, Databricks fuels a Data Intelligence Engine that comprehends the specific semantics of your data. This functionality enables the platform to optimize performance automatically and manage infrastructure in a manner tailored to your organization's needs. Additionally, the Data Intelligence Engine is designed to grasp the unique language of your enterprise, making the search and exploration of new data as straightforward as posing a question to a colleague, thus fostering collaboration and efficiency. Ultimately, this innovative approach transforms the way organizations interact with their data, driving better decision-making and insights.

Discover, access, and engage with your data effortlessly. Ensure that users can swiftly locate the data they require through an intuitive, AI-enhanced gallery showcasing all available data within your business. This platform is tailored to democratize access to data throughout your organization, providing a smooth online shopping-like experience for users looking to explore, assess, and act upon various data assets spread across the enterprise. By enhancing the discoverability of data products through organized domains, tagging, and classification, users can easily find what they need. Furthermore, the process of taking action is made simpler, as consumers can utilize existing business intelligence and analytics tools, or interact with data using natural language processing. Additionally, it's crucial to maintain control over data access within the organization, allowing for role-based permission settings for data products and facilitating the quick approval of access requests. In this way, your organization can foster a culture of data-driven decision-making while ensuring security and accessibility.

With your own data shop, create new revenue streams from the data you already have. Narrative focuses on the fundamental principles that make buying or selling data simpler, safer, and more strategic. You must ensure that the data you have access to meets your standards. It is important to know who and how the data was collected. Access new supply and demand easily for a more agile, accessible data strategy. You can control your entire data strategy with full end-to-end access to all inputs and outputs. Our platform automates the most labor-intensive and time-consuming aspects of data acquisition so that you can access new data sources in days instead of months. You'll only ever have to pay for what you need with filters, budget controls and automatic deduplication.

Discovering data, facilitating internal sharing, enabling cross-listing, and driving monetization: Revelate stands out as the sole platform that encompasses all these capabilities! Harness the power of your data and create a personalized data marketplace backed by Revelate’s advanced tools and knowledge. Our team collaborates with you to pinpoint, organize, safeguard, and disseminate your valuable data effectively. Starting the journey towards monetizing your data can be overwhelming, but Revelate equips you with the necessary technology to implement your data monetization strategy confidently. With our support, you can transform your data into a valuable asset that drives growth and innovation.

Our focus is on ensuring that data is secure and effortlessly accessible for businesses. The Safe Haven platform enhances customer intelligence, facilitates large-scale engagement, and fosters innovative opportunities for business expansion. Designed for the contemporary enterprise, our platform grants comprehensive control over data access and usage through top-tier software solutions for identity management, activation, and data collaboration. You can harness data access to uncover valuable business insights and boost revenue, all while keeping strict oversight of how data is used. Effectively connect with your target audiences across various channels, platforms, publishers, or networks, while securely converting data between identity realms to enhance outcomes. Safeguard your customer information using cutting-edge privacy-preserving technologies and sophisticated methods that limit data movement, yet still allow for the generation of insights. In doing so, you empower businesses to thrive in a data-driven landscape while upholding the highest standards of data protection.

The Telekom Data Intelligence Hub empowers organizations to securely and reliably share, process, and analyze their data while maintaining data sovereignty. It includes a variety of services such as consultations for dataspaces and solutions for data mesh, in addition to products aimed at facilitating data exchange, integrating data flows, constructing dataspaces, creating applications, and validating organizations and services to derive actionable insights. Notable ecosystems within this framework include Catena-X, which is targeted at the automotive, manufacturing, and smart mobility sectors. The platform prioritizes trustworthy data sharing through the independent and secure global network of Deutsche Telekom, offering user-friendly products that allow for rapid onboarding and smooth integration. Furthermore, it accommodates cloud-agnostic connections, enabling operation on any cloud platform or on-premises infrastructure, thereby guaranteeing comprehensive data protection throughout the entire process. This versatility makes it an ideal solution for organizations aiming to harness the power of their data effectively.

TollBit offers a comprehensive solution for overseeing AI traffic, overseeing licensing agreements, and monetizing your content in today's AI-driven landscape. With TollBit, you can identify which user agents are attempting to access restricted content. Additionally, we keep current records of user agents and IP addresses linked to AI applications throughout our network. The user-friendly interface allows for seamless navigation and personalized analyses. Users can input their own user agents to uncover the most visited pages and track the evolution of AI traffic over time. TollBit also facilitates the ingestion of historical logs, enabling your team to effectively analyze trends in AI interactions with your material through a straightforward interface, without the need to manage your own cloud infrastructure (note: this feature is not part of the free tier). As the AI market continues to expand, our platform makes it easy to tap into new opportunities. By simplifying licensing processes, we empower you to effectively monetize your content within the rapidly changing realm of AI development. Establish your terms clearly, and we will connect you with innovative AI entities eager to invest in your contributions. Moreover, our analytics tools provide insights that can help you make informed decisions about your content strategy.

Eliminate the lengthy research phase and find the ideal data solutions for your business with ease. Benefit from complimentary, impartial guidance from data specialists who provide extensive insights on over 2,000 data vendors across 210 categories. Our knowledgeable team will assist you throughout the entire sourcing journey without any cost. Define your objectives, applications, and data needs succinctly, and receive a curated list of appropriate data providers from our experts. You can then evaluate various data options and make your selection at your convenience. We focus on connecting you with the most relevant data providers, sparing you from unproductive sales pitches. Our service ensures you’re linked with the right contacts for swift responses. Additionally, our platform and team are dedicated to helping you monitor your data sourcing progress, ensuring you secure optimal deals while meeting your business goals effectively. This comprehensive support streamlines the process and enhances your overall experience.

ThinkData Works provides a robust catalog platform for discovering, managing, and sharing data from both internal and external sources. Enrichment solutions combine partner data with your existing datasets to produce uniquely valuable assets that can be shared across your entire organization. The ThinkData Works platform and enrichment solutions make data teams more efficient, improve project outcomes, replace multiple existing tech solutions, and provide you with a competitive advantage.

The erwin Data Marketplace, a component of erwin Data Intelligence by Quest, offers a user-friendly hub for all data consumers, irrespective of their technical background, to explore, choose, and access curated, high-quality data products, datasets, and AI solutions. This self-service model not only streamlines the process of data discovery but also improves data literacy, guarantees governance, and amplifies the overall business value derived from data. Notable functionalities include dynamic filtering options, automated assessments of data value, social feedback through ratings and reviews, and connections to supplementary data insights like mind maps and lineage tracking. Users are able to make side-by-side comparisons of different assets to find the most suitable option for their specific requirements. Data stewards and owners gain advantages through enhanced curation and governance features, which allow them to define data products, manage relationships, classify information, assign searchable tags, and supervise governance responsibilities. Furthermore, integrated workflows simplify the processes of data access requests, approvals, and documentation, all of which are essential for maintaining compliance. As a result, this platform not only fosters a collaborative environment for data sharing but also empowers organizations to fully leverage their data assets for informed decision-making.

Take charge of your creative work's AI rights and receive fair compensation for its utilization by AI firms. You maintain authority over whether and how your creations are utilized by AI collaborators. We handle the intricate details of the licensing agreements while you monitor your earnings through an intuitive dashboard. You’ll receive payment whenever your work is licensed, and you can effortlessly choose to participate in licensing arrangements or opt out. It's entirely up to you to determine what you are comfortable with in terms of licensing, while we manage everything else. Gain access to carefully curated, original content and develop projects with the explicit permission of rights holders. Our mission is to protect human creativity and foster its growth in the age of AI. We firmly believe that maximizing technological benefits requires us to continue enjoying the finest human-generated works. We honor and cultivate the distinctive skills and expressions that define our humanity, and we are committed to uniting diverse groups to create a disproportionately positive effect on society. Our focus is on establishing lasting, meaningful relationships rather than chasing quick profits, as we understand the value of community and collaboration. In doing so, we aspire to create a more inclusive and supportive environment for all creators.

Audigent stands out as a premier platform focused on data activation, curation, and identity solutions. By utilizing innovative technology that emphasizes privacy-compliant first-party data, it significantly improves media addressability and monetization on a large scale, all while completely avoiding cookie reliance. As a pioneer among data curation platforms, Audigent utilizes its unique identity solution, Hadron ID™, to transform the programmatic advertising field. Its advanced offerings, including SmartPMP™ and ContextualPMP™, utilize artificial intelligence and machine learning to provide consumer-safe data bundled with high-quality inventory at scale. Recognized by some of the largest brands and global media agencies, Audigent manages over 100,000 campaigns each month. Its data solutions, which are verified and opt-in, are instrumental in generating revenue for prominent publishers and partners like Condé Nast, TransUnion, Warner Music Group, Penske, a360 Media, Fandom, and many others. This commitment to innovation and effectiveness solidifies Audigent's role as a key player in the evolving advertising ecosystem.

Maximize productivity by eliminating time spent on finding, cleaning, visualizing, and transforming data through the advanced capabilities of AI. Rose facilitates effortless integration with leading global data providers and leverages cutting-edge open-source LLMs and natural language processing to interpret and visualize data according to user prompts. This innovative tool embodies the inventive spirit of Silicon Valley technology while ensuring the dependability synonymous with New York finance. Rose is designed for complete auditability, allowing users to backtrack the reasoning of its outputs to the original data sources. Effortlessly share your insights without barriers, with the capability to grant access to as much or as little information as necessary for internal teams or external partners. Furthermore, Rose serves as a reliable third-party data marketplace where extensive datasets can be easily previewed, purchased, and sold. It is utilized by analysts in some of the largest financial institutions worldwide, simplifying the processes of acquiring and selling data while enabling users to locate data effortlessly. Embrace the future of data management with Rose and experience the transformation in how you handle information.

Every significant aspect of your business occurs in a specific location. With Mapidea, you can enhance your decision-making process by leveraging precise geographical insights that lead to swifter and more informed choices. Our platform offers dependable datasets sourced from public information worldwide. By integrating ready-made location data into your analysis, you can gain a deeper understanding of your market. Drawing on over two decades of experience in spatial data, our team has developed a solution that allows companies to incorporate geographical considerations into their daily analytical and strategic efforts. Mapidea empowers multinational organizations to make informed strategic choices founded on reliable data insights. Our user-friendly location analytics tool enables clients to visualize and analyze data geographically, unlocking new avenues for business growth. You can observe customer interactions with your locations, whether they be physical stores or online platforms, to identify behavioral trends and construct detailed territorial profiles. By employing location intelligence, you can make more informed expansion decisions, ensuring your business stays ahead of the competition. In this way, Mapidea not only streamlines your analysis but also enhances your overall strategic capabilities.

*Analysis in a few clicks. You will find 35 pre-configured reports that cover most chain processes. *ML-based reports. Artificial intelligence algorithms help to identify insights faster. *Any Data. Add the metrics that only your business processes need. *Custom metrics builder. Create your formulas for calculating metrics to help you customize your analytics. *Create dashboards. Create, share, and work with visualizations with colleagues. *Control deviations of indicators. The Rules functionality allows you to flexibly configure and receive notifications about deviations from the planned values. *Analytics in a mobile phone. The Store Manager app allows chain top management, store managers, and supervisors to track important business indicators. *Convenient user management. Add an unlimited number of users with access to selected information only. Set up data display restrictions for colleagues according to their position. *Data monetization. Earn up to 2.5% of additional revenue by selling analytical data to suppliers.

Discover a revolutionary platform designed for your personal data, seamlessly integrated with a marketplace that prioritizes data sovereignty. Generate passive income without compromising your privacy or exposing your information. Experience the potential of tailored AI services while maintaining complete control over your data. Use your voice to create impactful changes in the world around you. Customize AI solutions based on your unique data without needing to offload it to the servers of major tech firms. With the innovative approach of federated learning, you can both profit from your data and protect your personal details. Envision a future where you can participate in a decentralized autonomous organization (DAO) and influence how data is utilized. Transform your interests, preferences, and activities into a personal avatar that reflects your digital footprint. Connect with others who share your vision and collaboratively chart the course ahead. We have developed a groundbreaking system that we believe will redefine our relationship with data for generations to come. This paradigm shift empowers individuals to reclaim ownership and foster a new era of data interaction.

Enhance the precision of your machine learning models by leveraging publicly accessible datasets. Streamline the process of data discovery and preparation with curated datasets that are not only readily available for machine learning applications but also easily integrable through Azure services. It is essential to consider real-world factors that could influence business performance. By integrating features from these curated datasets into your machine learning models, you can significantly boost the accuracy of your predictions while minimizing the time spent on data preparation. Collaborate and share datasets with an expanding network of data scientists and developers. Utilize Azure Open Datasets alongside Azure’s machine learning and data analytics solutions to generate insights at an unprecedented scale. Most Open Datasets come at no extra cost, allowing you to pay solely for the Azure services utilized, including virtual machine instances, storage, networking, and machine learning resources. This curated open data is designed for seamless access on Azure, empowering users to focus on innovation and analysis. In this way, organizations can unlock new opportunities and drive informed decision-making.

Nomad Data is a comprehensive platform designed to assist users in discovering, structuring, and harnessing data from a myriad of external vendors, internal databases, and various documents. With connections to thousands of data suppliers, it enables users to monitor data connections and glean insights from unstructured text efficiently. This platform provides robust solutions to sort and utilize essential data sourced externally or hidden within internal corporate documents, empowering teams to leverage data effectively for business growth. One of its key features, the data relationship manager, functions similarly to a CRM, allowing users to keep track of all interactions and relationships associated with their data. Additionally, the integrated chat feature allows for the rapid extraction of insights from unstructured text across countless documents within minutes. By offering access to over 4,000 data providers, Nomad Data essentially opens the door to the largest global data marketplace, ensuring that all your data is organized and any hidden information within your documents is made readily available to users in no time. This innovative approach not only streamlines data management but also fosters a culture of data-driven decision-making across organizations.

Maptek GeologyCore enhances the geology workflow by efficiently managing the entire process, starting from the import and validation of drillhole data to the precise definition of geological domains and the creation of trustworthy models. This intelligent system automates routine tasks throughout the stages from data preparation to model publication, thereby enabling geologists to dedicate their efforts to more complex and valuable activities. The software organizes processes logically for seamless importing and validation of drillhole data, allowing for quick definition of domains and the subsequent generation and dissemination of geological models. Furthermore, the ability to repeat processes facilitates easy experimentation, with any modifications to domains instantly visible in the model. Versatile and adaptable, GeologyCore caters to a diverse array of projects and includes a cloud-based machine learning feature in addition to traditional modeling techniques such as vein and implicit modeling, ultimately providing users with a comprehensive toolkit for geological analysis. This combination of automation and flexibility significantly enhances productivity within geological teams.

Quickly develop robust APIs for deep learning-based data capture and elevate the automation of document processes significantly. By leveraging the document data within your organization, you can achieve unmatched levels of automation and precision. We handle the complexities of deep learning research and development, GPU training, and offer a user-friendly REST API that manages all the intricate tasks for you. Featuring government-level security and adherence to compliance standards, your data is processed in a manner that is secure, transparent, and fully compliant. Our machine learning models are adaptable to various languages and document types, enabling you to train models efficiently for numerous applications. Conventional data capture solutions often fall short, but by utilizing your unique document data, you can swiftly create customized data capture systems with remarkable accuracy and automation. Experience firsthand why both developers and enterprises consistently choose our services for their data capture needs. With our innovative approach, you can transform the way your organization handles documents and data.

Jumpstart your estimation process by leveraging templates and readily available content, minimizing the effort required to generate proposals that still maintain a personalized touch. With a collaborative approach, multiple team members can contribute to the same proposal simultaneously, ensuring that all updates are automatically recorded in an extensive changelog. This method helps circumvent resource allocation challenges by providing clear tracking and visual representation of project advancements. Proposals can be created, accessed, and modified from any device—be it a computer, tablet, or smartphone—making the process highly flexible. The inclusion of graphical representations, notifications, and real-time activity feeds keeps you informed about your team's actions. Additionally, consolidate frequently sold products and services in a single repository for quick access and reuse. Establish internal guidelines that empower junior staff to operate independently. Furthermore, you can invite, manage, and remove users as needed, while also setting permission levels that accurately reflect their roles in the estimation workflow. By streamlining these processes, teams can enhance their efficiency and responsiveness in proposal creation.

Neptune.ai serves as a robust platform for machine learning operations (MLOps), aimed at simplifying the management of experiment tracking, organization, and sharing within the model-building process. It offers a thorough environment for data scientists and machine learning engineers to log data, visualize outcomes, and compare various model training sessions, datasets, hyperparameters, and performance metrics in real-time. Seamlessly integrating with widely-used machine learning libraries, Neptune.ai allows teams to effectively oversee both their research and production processes. Its features promote collaboration, version control, and reproducibility of experiments, ultimately boosting productivity and ensuring that machine learning initiatives are transparent and thoroughly documented throughout their entire lifecycle. This platform not only enhances team efficiency but also provides a structured approach to managing complex machine learning workflows.

Maptek DomainMCF leverages machine learning to construct domain boundaries straight from sample data, facilitating the swift development of resource models. Geologists input drilling or sampling information and receive domain or grade models significantly quicker than conventional resource modeling approaches allow. This innovative solution departs from the need for intricate software typically installed on desktop machinery, reallocating expenses from capital investments to operational budgets. Enhanced cloud processing capabilities ensure speed and security, while flexible licensing options accommodate various user needs. Depending on factors like size, data density, and deposit complexity, resource models can be created in mere minutes or hours. Many mining operations can traditionally update their resource models only once or twice annually, but with DomainMCF, projects can be modeled in just minutes, yielding results that rival those obtained through classical methodologies. You maintain full control of the modeling process, eliminating burdensome preparatory tasks. Additionally, you can swiftly incorporate new data and regenerate models to accurately reflect the latest information, ensuring your resource assessments are always current and reliable. This adaptability is a game changer for industries that rely heavily on precise resource management.

Transform your knowledge into machine learning models to streamline text-based processes efficiently, achieving human-like quality at scale. You can create custom models from the ground up, fine-tune our premier models for your specific needs, or utilize Primer's pre-built models directly. With Primer Automate, individuals across your organization can develop and train models without needing any programming or technical background. Enhance your data with a structured intelligence layer to establish a scalable knowledge base that can analyze billions of documents in mere seconds. Quickly uncover answers to essential inquiries, keep track of updates in real-time, and effortlessly generate clear, concise reports. Process all forms of communication, including documents, emails, PDFs, text messages, and social media platforms, to extract the most relevant information. Primer Extract leverages advanced machine learning technologies to facilitate rapid and extensive data exploration. Beyond simple keyword searches, Extract also encompasses powerful features such as translation, optical character recognition (OCR), and image recognition, making it a comprehensive solution for data analysis. This allows organizations to harness the full potential of their information efficiently.

Skan, a cognitive technology startup, is revolutionizing business process discovery. It empowers large enterprises to discover, untangle and unleash their business processes. Skan's offering helps to define the future work by optimizing intelligent automation and digital transformation. Skan's unique approach combines computer vision, deeplearning & machine intelligence to observe and learn, assemble, optimize, and optimize business processes without integration or intrusion. It is easy to model, simulate, measure, and evaluate the future state of the sandbox using the output as a process metamodel and digital process twins. Skan's founding team consists of entrepreneurs, technologists and data scientists, all experts in complex business and IT landscapes. Skan's origins are rooted in the practical experience our founders gained while working on automation projects and transformation projects for Fortune 500 businesses.

Labellerr is a data annotation platform aimed at streamlining the creation of top-notch labeled datasets essential for AI and machine learning applications. It accommodates a wide array of data formats, such as images, videos, text, PDFs, and audio, addressing various annotation requirements. This platform enhances the labeling workflow with automated features, including model-assisted labeling and active learning, which help speed up the process significantly. Furthermore, Labellerr includes sophisticated analytics and intelligent quality assurance tools to maintain the precision and dependability of annotations. For projects that demand specialized expertise, Labellerr also provides expert-in-the-loop services, granting access to professionals in specialized domains like healthcare and automotive, thereby ensuring high-quality results. This comprehensive approach not only facilitates efficient data preparation but also builds trust in the reliability of the labeled datasets produced.

Empowering businesses to engage in genuine data science quickly and effectively through a comprehensive machine learning platform is crucial. By minimizing the time spent managing tools and infrastructure, organizations can concentrate on developing machine learning applications that drive growth. Anaconda Enterprise alleviates the challenges associated with ML operations, grants access to open-source innovations, and lays the groundwork for robust data science and machine learning operations without confining users to specific models, templates, or workflows. Software developers and data scientists can seamlessly collaborate within AE to create, test, debug, and deploy models using their chosen programming languages and tools. Additionally, AE facilitates access to both notebooks and integrated development environments (IDEs), enhancing collaborative efficiency. Users can also select from a variety of example projects or utilize preconfigured projects tailored to their needs. Furthermore, AE automatically containerizes projects, ensuring they can be effortlessly transitioned between various environments as required. This flexibility ultimately empowers teams to innovate and adapt to changing business demands more readily.

DagsHub serves as a collaborative platform tailored for data scientists and machine learning practitioners to effectively oversee and optimize their projects. By merging code, datasets, experiments, and models within a cohesive workspace, it promotes enhanced project management and teamwork among users. Its standout features comprise dataset oversight, experiment tracking, a model registry, and the lineage of both data and models, all offered through an intuitive user interface. Furthermore, DagsHub allows for smooth integration with widely-used MLOps tools, which enables users to incorporate their established workflows seamlessly. By acting as a centralized repository for all project elements, DagsHub fosters greater transparency, reproducibility, and efficiency throughout the machine learning development lifecycle. This platform is particularly beneficial for AI and ML developers who need to manage and collaborate on various aspects of their projects, including data, models, and experiments, alongside their coding efforts. Notably, DagsHub is specifically designed to handle unstructured data types, such as text, images, audio, medical imaging, and binary files, making it a versatile tool for diverse applications. In summary, DagsHub is an all-encompassing solution that not only simplifies the management of projects but also enhances collaboration among team members working across different domains.

Effective project management brings significant benefits to organizations. Per DIN 69901-5, it encompasses all management activities, organizational structures, techniques, and resources necessary for the initiation, definition, planning, monitoring, and completion of projects. This approach not only incurs expenses but also enhances the likelihood of project success, ultimately leading to cost savings. Furthermore, it fosters greater transparency and minimizes potential risks. We believe that the impact of project management lies not in the number of managers involved but in the quality of their work and the methodologies they employ. Additionally, a competent and professional team is essential for a project manager to succeed. Thus, the project manager serves as the pivotal management force driving the project's progress. We prefer to utilize the methodical framework provided by the German Society for Project Management (GPM) for its systematic structure and effectiveness in guiding project management practices. This model facilitates better collaboration and ensures that all team members are aligned with the project’s objectives.

Data Version Control (DVC) is an open-source system specifically designed for managing version control in data science and machine learning initiatives. It provides a Git-like interface that allows users to systematically organize data, models, and experiments, making it easier to oversee and version various types of files such as images, audio, video, and text. This system helps structure the machine learning modeling process into a reproducible workflow, ensuring consistency in experimentation. DVC's integration with existing software engineering tools is seamless, empowering teams to articulate every facet of their machine learning projects through human-readable metafiles that detail data and model versions, pipelines, and experiments. This methodology promotes adherence to best practices and the use of well-established engineering tools, thus bridging the gap between the realms of data science and software development. By utilizing Git, DVC facilitates the versioning and sharing of complete machine learning projects, encompassing source code, configurations, parameters, metrics, data assets, and processes by committing the DVC metafiles as placeholders. Furthermore, its user-friendly approach encourages collaboration among team members, enhancing productivity and innovation within projects.

Our team of Data and AI Scientists specializes in crafting and executing comprehensive products and solutions that offer greater customization than any standard options available. With expertise that spans various functions and domains, we ensure that we can efficiently and securely meet the unique business objectives of your organization. We create tailor-made solutions that align with and support your organization’s vision and strategic goals. Operating as an enterprise AI services and solutions provider, Fusemachines is dedicated to making AI accessible to everyone. Based in New York and with a presence across North and Latin America as well as Asia, Fusemachines unites engineers and PhD professionals from diverse backgrounds to assist companies in developing cutting-edge AI solutions. Furthermore, we are devoted to promoting AI education, products, and job opportunities in underserved communities. If your organization requires Data Scientists, Machine Learning Engineers, or PhD specialists, we are ready to assist. In just two weeks, our dedicated delivery team will methodically assemble and implement an AI team tailored to meet your specific needs and aspirations. With our commitment to innovation and inclusivity, we aim to forge lasting partnerships that drive success.

Embracing data-centric AI has become remarkably straightforward thanks to advancements in automated data quality profiling and synthetic data creation. Our solutions enable data scientists to harness the complete power of their data. YData Fabric allows users to effortlessly navigate and oversee their data resources, providing synthetic data for rapid access and pipelines that support iterative and scalable processes. With enhanced data quality, organizations can deliver more dependable models on a larger scale. Streamline your exploratory data analysis by automating data profiling for quick insights. Connecting to your datasets is a breeze via a user-friendly and customizable interface. Generate synthetic data that accurately reflects the statistical characteristics and behaviors of actual datasets. Safeguard your sensitive information, enhance your datasets, and boost model efficiency by substituting real data with synthetic alternatives or enriching existing datasets. Moreover, refine and optimize workflows through effective pipelines by consuming, cleaning, transforming, and enhancing data quality to elevate the performance of machine learning models. This comprehensive approach not only improves operational efficiency but also fosters innovative solutions in data management.

TensorBoard serves as a robust visualization platform within TensorFlow, specifically crafted to aid in the experimentation process of machine learning. It allows users to monitor and illustrate various metrics, such as loss and accuracy, while also offering insights into the model architecture through visual representations of its operations and layers. Users can observe the evolution of weights, biases, and other tensors via histograms over time, and it also allows for the projection of embeddings into a more manageable lower-dimensional space, along with the capability to display various forms of data, including images, text, and audio. Beyond these visualization features, TensorBoard includes profiling tools that help streamline and enhance the performance of TensorFlow applications. Collectively, these functionalities equip practitioners with essential tools for understanding, troubleshooting, and refining their TensorFlow projects, ultimately improving the efficiency of the machine learning process. In the realm of machine learning, accurate measurement is crucial for enhancement, and TensorBoard fulfills this need by supplying the necessary metrics and visual insights throughout the workflow. This platform not only tracks various experimental metrics but also facilitates the visualization of complex model structures and the dimensionality reduction of embeddings, reinforcing its importance in the machine learning toolkit.

TrueFoundry is a cloud-native platform-as-a-service for machine learning training and deployment built on Kubernetes, designed to empower machine learning teams to train and launch models with the efficiency and reliability typically associated with major tech companies, all while ensuring scalability to reduce costs and speed up production release. By abstracting the complexities of Kubernetes, it allows data scientists to work in a familiar environment without the overhead of managing infrastructure. Additionally, it facilitates the seamless deployment and fine-tuning of large language models, prioritizing security and cost-effectiveness throughout the process. TrueFoundry features an open-ended, API-driven architecture that integrates smoothly with internal systems, enables deployment on a company's existing infrastructure, and upholds stringent data privacy and DevSecOps standards, ensuring that teams can innovate without compromising on security. This comprehensive approach not only streamlines workflows but also fosters collaboration among teams, ultimately driving faster and more efficient model deployment.