Alternatives to Macgence

Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.

Anolytics specializes in providing data annotation services for images, videos, and text, specifically tailored for machine learning and AI-driven computer vision applications. Their offerings include an economical annotation service aimed at facilitating the development of machine learning and artificial intelligence models. By utilizing various annotation techniques, Anolytics ensures that the data is accurately and precisely annotated, whether in text, image, or video formats. The company excels in Image Annotation, Video Annotation, and Text Annotation, maintaining high standards of accuracy throughout the process. Anolytics delivers a comprehensive range of data annotation services essential for training in both machine learning and deep learning environments. Their services encompass Bounding Boxes, Semantic Segmentation, 3D Point Cloud Annotation, and 3D Cuboid Annotation, catering to diverse industries such as healthcare, autonomous driving, drone operations, retail, security surveillance, and agriculture. With a focus on scalability, Anolytics ensures its solutions are available with rapid turnaround times and competitive pricing for clients around the world, thereby enhancing their accessibility and effectiveness in various applications. This commitment to quality and efficiency positions Anolytics as a leader in the data annotation industry.

Hive presents a comprehensive approach to safeguarding your platform. By harnessing the power of the largest global distributed workforce dedicated to labeling data, we are setting new standards in automated content moderation. Our offerings include top-tier models combined with manual moderation, enabling us to deliver scalable solutions that surpass the capabilities of traditional business process outsourcing (BPO) contract workers. Moreover, alongside our leading models, our extensive workforce is equipped to address a wide range of manual moderation requirements. From overseeing user-generated content to annotating large volumes of training data, our decentralized system and consensus-driven policy ensure an unparalleled level of accuracy that outshines our competitors. This unique blend of technology and human expertise positions us as a frontrunner in the industry.

Develop an integrated and streamlined master data management approach across all your business sectors to enhance enterprise data oversight, improve data precision, and lower overall ownership costs. Launch your organization's cloud-based master data management project with a low entry threshold and the flexibility to implement extra governance scenarios at a comfortable pace. By consolidating SAP and external data sources, establish a singular, trusted reference point and facilitate the mass processing of substantial data updates efficiently. Outline, confirm, and track the established business rules to ensure the readiness of master data while assessing the effectiveness of your master data management efforts. Foster a cooperative workflow system with notifications that empower different teams to manage distinct master data characteristics, thereby ensuring the validity of specified data points while promoting accountability and ownership throughout the organization. Moreover, by prioritizing these strategies, you can significantly enhance data consistency and facilitate better decision-making across all levels of the enterprise.

Keymakr specializes in providing image and video data annotation, data creation, data collection, and data validation services for AI/ML Computer Vision projects. With a strong technological foundation and expertise, Keymakr efficiently manages data across various domains. Keymakr's motto, "Human teaching for machine learning," reflects its commitment to the human-in-the-loop approach. The company maintains an in-house team of over 600 highly skilled annotators. Keymakr's goal is to deliver custom datasets that enhance the accuracy and efficiency of ML systems.

Tasq.ai offers an innovative no-code platform designed for creating hybrid AI workflows that merge advanced machine learning techniques with the expertise of decentralized human contributors, which guarantees exceptional scalability, precision, and control. Teams can visually design AI pipelines by disaggregating tasks into smaller micro-workflows that integrate automated inference alongside verified human assessments. This modular approach accommodates a wide range of applications, including text analysis, computer vision, audio processing, video interpretation, and structured data management, all while incorporating features like rapid deployment, flexible sampling, and consensus-based validation. Essential features encompass the global engagement of meticulously vetted contributors, known as “Tasqers,” ensuring unbiased and highly accurate annotations; sophisticated task routing and judgment synthesis to align with predefined confidence levels; and smooth integration into machine learning operations pipelines through intuitive drag-and-drop functionality. Ultimately, Tasq.ai empowers organizations to harness the full potential of AI by facilitating efficient collaboration between technology and human insight.

Graphs represent one of the most adaptable formal data structures, allowing for straightforward mapping of various data formats while effectively illustrating the explicit relationships between items, thus facilitating the integration of new data entries and the exploration of their interconnections. The inherent semantics of the data are clearly defined, incorporating formal methods for inference and validation. Serving as a self-descriptive data model, knowledge graphs not only enable data validation but also provide insights on necessary adjustments to align with data model specifications. The significance of the data is embedded within the graph itself, represented through ontologies or semantic frameworks, which contributes to their self-descriptive nature. Knowledge graphs are uniquely positioned to handle a wide range of data and metadata, evolving and adapting over time much like living organisms. Consequently, they offer a robust solution for managing and interpreting complex datasets in dynamic environments.

The Datagaps DataOps Suite serves as a robust platform aimed at automating and refining data validation procedures throughout the complete data lifecycle. It provides comprehensive testing solutions for various functions such as ETL (Extract, Transform, Load), data integration, data management, and business intelligence (BI) projects. Among its standout features are automated data validation and cleansing, workflow automation, real-time monitoring with alerts, and sophisticated BI analytics tools. This suite is compatible with a diverse array of data sources, including relational databases, NoSQL databases, cloud environments, and file-based systems, which facilitates smooth integration and scalability. By utilizing AI-enhanced data quality assessments and adjustable test cases, the Datagaps DataOps Suite improves data accuracy, consistency, and reliability, positioning itself as a vital resource for organizations seeking to refine their data operations and maximize returns on their data investments. Furthermore, its user-friendly interface and extensive support documentation make it accessible for teams of various technical backgrounds, thereby fostering a more collaborative environment for data management.

Shaip is a comprehensive AI data platform delivering precise and ethical data collection, annotation, and de-identification services across text, audio, image, and video formats. Operating globally, Shaip collects data from more than 60 countries and offers an extensive catalog of off-the-shelf datasets for AI training, including 250,000 hours of physician audio and 30 million electronic health records. Their expert annotation teams apply industry-specific knowledge to provide accurate labeling for tasks such as image segmentation, object detection, and content moderation. The company supports multilingual conversational AI with over 70,000 hours of speech data in more than 60 languages and dialects. Shaip’s generative AI services use human-in-the-loop approaches to fine-tune models, optimizing for contextual accuracy and output quality. Data privacy and compliance are central, with HIPAA, GDPR, ISO, and SOC certifications guiding their de-identification processes. Shaip also provides a powerful platform for automated data validation and quality control. Their solutions empower businesses in healthcare, eCommerce, and beyond to accelerate AI development securely and efficiently.

Experian Data Quality stands out as a prominent leader in the realm of data quality and management solutions. Our all-encompassing offerings ensure that your customer data is validated, standardized, enriched, profiled, and monitored, making it suitable for its intended use. With versatile deployment options, including both SaaS and on-premise solutions, our software can be tailored to fit diverse environments and visions. Ensure that your address data remains current and uphold the accuracy of your contact information consistently with our real-time address verification solutions. Leverage our robust data quality management tools to analyze, transform, and govern your data by creating processing rules tailored specifically to your business needs. Additionally, enhance your mobile and SMS marketing campaigns while establishing stronger connections with customers through our phone validation tools, which are offered by Experian Data Quality. Our commitment to innovation and customer success sets us apart in the industry.

DataOps ETL Validator stands out as an all-encompassing tool for automating data validation and ETL testing. It serves as an efficient ETL/ELT validation solution that streamlines the testing processes of data migration and data warehouse initiatives, featuring a user-friendly, low-code, no-code interface with component-based test creation and a convenient drag-and-drop functionality. The ETL process comprises extracting data from diverse sources, applying transformations to meet operational requirements, and subsequently loading the data into a designated database or data warehouse. Testing within the ETL framework requires thorough verification of the data's accuracy, integrity, and completeness as it transitions through the various stages of the ETL pipeline to ensure compliance with business rules and specifications. By employing automation tools for ETL testing, organizations can facilitate data comparison, validation, and transformation tests, which not only accelerates the testing process but also minimizes the need for manual intervention. The ETL Validator enhances this automated testing by offering user-friendly interfaces for the effortless creation of test cases, thereby allowing teams to focus more on strategy and analysis rather than technical intricacies. In doing so, it empowers organizations to achieve higher levels of data quality and operational efficiency.

Waaila is an all-encompassing tool designed for the automatic monitoring of data quality, backed by a vast network of analysts worldwide, aimed at averting catastrophic outcomes linked to inadequate data quality and measurement practices. By ensuring your data is validated, you can take command of your analytical capabilities and metrics. Precision is essential for maximizing the effectiveness of data, necessitating ongoing validation and monitoring efforts. High-quality data is crucial for fulfilling its intended purpose and harnessing it effectively for business expansion. Improved data quality translates directly into more effective marketing strategies. Trust in the reliability and precision of your data to make informed decisions that lead to optimal outcomes. Automated validation can help you conserve time and resources while enhancing results. Swift identification of issues mitigates significant repercussions and creates new possibilities. Additionally, user-friendly navigation and streamlined application management facilitate rapid data validation and efficient workflows, enabling quick identification and resolution of problems. Ultimately, leveraging Waaila enhances your organization's data-driven capabilities.

Share your production data with machine learning, data science, and analytics teams securely while maintaining customer trust. Eliminate the hassle of using regexes and open-source models. Private AI skillfully anonymizes over 50 types of personally identifiable information (PII), payment card information (PCI), and protected health information (PHI) in compliance with GDPR, CPRA, and HIPAA across 49 languages with exceptional precision. Substitute PII, PCI, and PHI in your text with synthetic data to generate model training datasets that accurately resemble your original data while ensuring customer privacy remains intact. Safeguard your customer information by removing PII from more than 10 file formats, including PDF, DOCX, PNG, and audio files, to adhere to privacy laws. Utilizing cutting-edge transformer architectures, Private AI delivers outstanding accuracy without the need for third-party processing. Our solution has surpassed all other redaction services available in the industry. Request our evaluation toolkit, and put our technology to the test with your own data to see the difference for yourself. With Private AI, you can confidently navigate regulatory landscapes while still leveraging valuable insights from your data.

Cogito Tech is a leading AI data solutions provider specializing in data labeling and annotation services. We deliver high-quality data for applications across computer vision, natural language processing (NLP), and content services. Our expertise extends to fine-tuning large language models (LLMs) through techniques like Reinforcement Learning from Human Feedback (RLHF), enabling rapid deployment and customization to meet business objectives. The company is headquartered in the United States and was featured in The Financial Times’ FT ranking: The Americas’ Fastest-Growing Companies 2025 and Everest Group’s report Data Annotation and Labeling (DAL) Solutions for AI/ML PEAK Matrix® Assessment 2024 Services offered by Cogito: • Image Annotation Service • AI-assisted Data Labeling Service • Medical Image Annotation • NLP & Audio Annotation Service • ADAS Annotation Services • Healthcare Training Data for AI • Audio & Video Transcription Services • Chatbot & Virtual Assistant Training Data • Data Collection & Classification • Content Moderation Services • Sentiment Analysis Services Cogito is one of the top data labeling companies offers one-stop solution for wide ranging training data needs for different types of AI models developed through machine learning and deep learning. Working with team of highly skilled annotators, Cogito is an industry in human-powered and AI-assisted data labeling service at most competitive prices while ensuring the privacy and security of datasets.

Airbyte is a data integration platform that operates on an open-source model, aimed at assisting organizations in unifying data from diverse sources into their data lakes, warehouses, or databases. With an extensive library of over 550 ready-made connectors, it allows users to craft custom connectors with minimal coding through low-code or no-code solutions. The platform is specifically designed to facilitate the movement of large volumes of data, thereby improving artificial intelligence processes by efficiently incorporating unstructured data into vector databases such as Pinecone and Weaviate. Furthermore, Airbyte provides adaptable deployment options, which help maintain security, compliance, and governance across various data models, making it a versatile choice for modern data integration needs. This capability is essential for businesses looking to enhance their data-driven decision-making processes.

Business data often exists in various formats and originates from multiple sources. Much of this data tends to be unstructured or semi-structured, making it challenging to utilize effectively. Intelligent Document Processing (IDP) harnesses the power of AI and programmable automation, including the handling of repetitive tasks, to transform this data into organized, structured formats suitable for downstream systems. By employing Natural Language Processing (NLP), Computer Vision (CV), Optical Character Recognition (OCR), and machine learning techniques, Blox.ai efficiently identifies, labels, and extracts pertinent information from a wide range of documents. Subsequently, the AI organizes this information into a structured format and develops a model that can be applied to similar document types in the future. Furthermore, the Blox.ai stack is designed to align the extracted data with specific business needs and seamlessly transfer the output to downstream systems, ensuring a smooth workflow. This innovative approach not only enhances data usability but also streamlines overall business operations.

Our industry-leading, comprehensive solution accommodates any master data domain, implementation method, and use case, whether in the cloud or on-premises. It seamlessly integrates top-tier data integration, data quality, business process management, and data privacy features. Address intricate challenges directly with reliable insights into essential master data. Automatically establish connections between master, transactional, and interaction data across various domains. Enhance the precision of data records through verification services and enrichment for both B2B and B2C contexts. Effortlessly update numerous master data records, dynamic data models, and collaborative workflows with a single click. Streamline maintenance costs and accelerate deployment through AI-driven match tuning and rule suggestions. Boost productivity by utilizing search functions along with pre-configured, detailed charts and dashboards. In doing so, you can generate high-quality data that significantly enhances business outcomes by providing trusted and pertinent information. This multifaceted approach ensures that organizations can make data-driven decisions with confidence.

iceDQ, a DataOps platform that allows monitoring and testing, is a DataOps platform. iceDQ is an agile rules engine that automates ETL Testing, Data Migration Testing and Big Data Testing. It increases productivity and reduces project timelines for testing data warehouses and ETL projects. Identify data problems in your Data Warehouse, Big Data, and Data Migration Projects. The iceDQ platform can transform your ETL or Data Warehouse Testing landscape. It automates it from end to end, allowing the user to focus on analyzing the issues and fixing them. The first edition of iceDQ was designed to validate and test any volume of data with our in-memory engine. It can perform complex validation using SQL and Groovy. It is optimized for Data Warehouse Testing. It scales based upon the number of cores on a server and is 5X faster that the standard edition.

AB Handshake is a revolutionary solution for telecom service providers. It eliminates fraud on outbound and inbound voice traffic. Our advanced system of interaction between operators validates each call. This ensures 100% accuracy and zero false positives. The Call Registry receives the call details every time a call has been set up. Before the actual call, the validation request is sent to the terminating network. Cross-validation allows for detection of manipulation by comparing call details from different networks. Call registries require no additional investment and run on common-use hardware. The solution is installed within an operator's security perimeter. It complies with security requirements and personal data processing requirements. This is when someone gains access the PBX phone system of a business and makes international calls at the company's expense.

Primarily utilized for system alerts, logistical notifications, order updates, payment confirmations, and similar contexts, Aestron features advanced capabilities for recognizing images, videos, audio, and text through a precise, thorough, and customizable content security framework. Leveraging an extensive library of sensitive terms, Aestron also provides textual analysis, detection of copyrighted material, and support for natural language processing across several major global languages, such as English, Chinese, Spanish, Hindi, Arabic, Portuguese, Russian, Thai, Vietnamese, and Indonesian. Its proprietary cross-domain learning algorithm enhances performance through extensive data analysis and targeted algorithm improvement. The system is adept at accurately recognizing speech, supporting multiple languages, and ensuring high levels of recognition precision. Moreover, it allows for the swift identification of illicit content and accommodates a high volume of concurrent detection requests, making it a robust solution for content security challenges. This versatility highlights Aestron's commitment to addressing diverse needs in content management and security.

The Orion Data Validation Tool serves as an integration validation solution designed to facilitate business data validation across various integration channels, ensuring compliance with data standards. By harnessing diverse sources and platforms, it enhances data quality effectively. This tool combines integration validation with machine learning features, positioning itself as a holistic solution for data validation, which ensures the accuracy and completeness necessary for sophisticated analytics endeavors. Additionally, it offers a collection of templates that expedite the data validation process and optimize the overall integration workflow. Users can choose from an extensive library of relevant templates or utilize custom files from any data source they prefer. Upon receiving a sample file, the Orion Data Validation Tool adeptly adapts to meet the specific requirements of that file. Subsequently, it assesses the data against established quality standards, while the integrated data listener provides real-time feedback on data validity and integrity scores. Through these capabilities, users can trust in the reliability of their data for informed decision-making.

Safeguard the identities captured in your data by anonymizing faces and license plates, ensuring adherence to privacy regulations like GDPR, CCPA, and APPI. Utilize our provided examples to evaluate the effectiveness of anonymization by comparing images before and after the process. If you wish to try the tool with your own image, simply upload a JPEG or PNG file (up to 4MB) to observe how our model effectively removes all identifiable personal information. Our GDPR compliance solution boasts several essential features, maintaining regulatory standards without disrupting downstream operations, and can be customized to suit individual requirements. We provide optimal deployment options designed to enhance processing efficiency and minimize reliance on human oversight, ultimately saving both time and resources. Options for deployment are adaptable, with choices including cloud-based, on-premise, or API integration. Furthermore, the system proficiently blurs faces and license plates, even in complex visual scenarios and varying camera perspectives, ensuring comprehensive protection of personal privacy. This capability is vital in today’s data-driven world, where the importance of privacy compliance cannot be overstated.

airis:protect combines cutting-edge artificial intelligence and proprietary neural network frameworks to deliver a robust solution for content safety and compliance. The platform offers a powerful range of features for AI-based image and video monitoring, including automatic detection of nudity, violence, hate symbols, drug use, alcohol, and other restricted content. It supports text moderation, identifying offensive or sensitive overlay text such as emails, phone numbers, and harassment language. Beyond content filtering, airis:protect enhances user authenticity through face detection, age estimation, and identity verification, making it ideal for platforms requiring profile validation or fraud prevention. Businesses benefit from an always-on infrastructure with 24/7 uptime and ultra-low latency—achieving 10ms response times for HD content. Hosted entirely in Germany, the system complies fully with EU GDPR standards, ensuring complete data privacy and security. airis:protect operates independently of major tech ecosystems like Google, Amazon, or Meta, giving clients total control over their AI infrastructure. Certified under CertAI’s AI Management Assessment Standard, it guarantees fairness, transparency, and reliability for companies committed to digital trust and brand safety.

Embrace flexibility with a top-tier, scalable enterprise data integration platform that boasts high performance. It supports every phase of the data integration lifecycle, from initiating the initial project to ensuring the success of critical enterprise deployments. PowerCenter, a platform driven by metadata, expedites data integration initiatives, enabling businesses to access data much faster than through traditional manual coding. Developers and analysts can work together to quickly prototype, revise, analyze, validate, and launch projects within days rather than taking months. Serving as the cornerstone for your data integration efforts, PowerCenter allows for the use of machine learning to effectively oversee and manage your deployments across various domains and locations, enhancing operational efficiency and adaptability. This level of integration ensures that organizations can respond swiftly to changing data needs and market demands.

Data8 provides an extensive range of cloud-based solutions focused on data quality, ensuring your information remains clean, precise, and current. Our offerings include tailored services for data validation, cleansing, migration, and monitoring to address specific organizational requirements. Among our validation services are real-time verification tools that cover address autocomplete, postcode lookup, bank account validation, email verification, name and phone validation, as well as business insights, all designed to capture accurate customer data during initial entry. To enhance both B2B and B2C databases, Data8 offers various services such as appending and enhancement, email and phone validation, suppression of records for individuals who have moved or passed away, deduplication, merging of records, PAF cleansing, and preference services. Additionally, Data8 features an automated deduplication solution that seamlessly integrates with Microsoft Dynamics 365, allowing for the efficient deduplication, merging, and standardization of multiple records. This comprehensive approach not only improves data integrity but also streamlines operations, ultimately supporting better decision-making within your organization.

Data Ladder is a company focused on enhancing data quality and cleansing, committed to assisting clients in maximizing their data through services like data matching, profiling, deduplication, and enrichment. Our goal is to maintain simplicity and clarity in our product offerings, ensuring exceptional solutions and customer service at a competitive price for our clients. Our products serve a wide range of users, including those in the Fortune 500, and we take pride in our ability to effectively listen to our clients, which enables us to swiftly enhance our offerings. Our intuitive and robust software empowers business professionals across various sectors to manage their data more efficiently and positively impact their financial performance. Our flagship data quality software, DataMatch Enterprise, has demonstrated its capability to identify approximately 12% to 300% more matches compared to leading competitors such as IBM and SAS in 15 separate studies. With over a decade of research and development to our name, we are continuously refining our data quality solutions. This unwavering commitment to innovation has resulted in more than 4000 successful installations globally, showcasing the trust placed in our products. Ultimately, our mission is to provide superior data management tools that drive success for our clients.

Azure AI Content Safety serves as a robust content moderation system that harnesses the power of artificial intelligence to ensure your content remains secure. By utilizing advanced AI models, it enhances online interactions for all users by swiftly and accurately identifying offensive or inappropriate material in both text and images. The language models are adept at processing text in multiple languages, skillfully interpreting both brief and lengthy passages while grasping context and meaning. On the other hand, the vision models excel in image recognition, adeptly pinpointing objects within images through the cutting-edge Florence technology. Furthermore, AI content classifiers meticulously detect harmful content related to sexual themes, violence, hate speech, and self-harm with impressive detail. Additionally, the severity scores for content moderation provide a quantifiable assessment of content risk, ranging from low to high levels of concern, allowing for more informed decision-making in content management. This comprehensive approach ensures a safer online environment for all users.

Verodat, a SaaS-platform, gathers, prepares and enriches your business data, then connects it to AI Analytics tools. For results you can trust. Verodat automates data cleansing & consolidates data into a clean, trustworthy data layer to feed downstream reporting. Manages data requests for suppliers. Monitors data workflows to identify bottlenecks and resolve issues. The audit trail is generated to prove quality assurance for each data row. Validation & governance can be customized to your organization. Data preparation time is reduced by 60% allowing analysts to focus more on insights. The central KPI Dashboard provides key metrics about your data pipeline. This allows you to identify bottlenecks and resolve issues, as well as improve performance. The flexible rules engine allows you to create validation and testing that suits your organization's requirements. It's easy to integrate your existing tools with the out-of-the box connections to Snowflake and Azure.

Minimize the workload associated with manual moderation through advanced AI classification that mimics human understanding. This AI boasts exceptional accuracy in recognizing tone, context, and situational nuances. By evaluating multiple signals in conjunction, similar to human perception, Unitary allows for more precise classifications. The result is an enhanced user experience, reduced time spent correcting erroneous evaluations, and increased opportunities for moderators to concentrate on critical tasks. Our models are tailored to align with your specific trust and safety protocols while also providing ready-to-use models that consider tone, context, and setting, leading to substantial improvements in accuracy. Facilitate real-time customer interactions and optimize workflows by efficiently processing millions of content pieces daily. By lowering manual moderation expenses and safeguarding users, Unitary aims to empower brands and platforms to grasp the intricacies of every piece of content. Our innovative approach leverages context-aware AI and sophisticated multimodal machine learning techniques to ensure a comprehensive understanding of content in its specific context. Ultimately, this enables organizations to navigate the complexities of content moderation with greater ease and efficiency.

Pandera offers a straightforward, adaptable, and expandable framework for data testing, enabling the validation of both datasets and the functions that generate them. Start by simplifying the task of schema definition through automatic inference from pristine data, and continuously enhance it as needed. Pinpoint essential stages in your data workflow to ensure that the data entering and exiting these points is accurate. Additionally, validate the functions responsible for your data by automatically crafting relevant test cases. Utilize a wide range of pre-existing tests, or effortlessly design custom validation rules tailored to your unique requirements, ensuring comprehensive data integrity throughout your processes. This approach not only streamlines your validation efforts but also enhances the overall reliability of your data management strategies.

Clarifai is a leading AI platform for modeling image, video, text and audio data at scale. Our platform combines computer vision, natural language processing and audio recognition as building blocks for building better, faster and stronger AI. We help enterprises and public sector organizations transform their data into actionable insights. Our technology is used across many industries including Defense, Retail, Manufacturing, Media and Entertainment, and more. We help our customers create innovative AI solutions for visual search, content moderation, aerial surveillance, visual inspection, intelligent document analysis, and more. Founded in 2013 by Matt Zeiler, Ph.D., Clarifai has been a market leader in computer vision AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai is headquartered in Delaware

Preamble democratizes a safety and security layer for generative AI systems. Our comprehensive platform and AI policy marketplace allow organizations, domain experts, and all stakeholders to curate shared values and deploy generative AI guardrails that integrate ethics, maintain security, comply with policies, and mitigate risk. Beyond applying values to AI, Preamble provides AI red-team tools to continuously improve safety guardrails.

The BiG EVAL platform offers robust software tools essential for ensuring and enhancing data quality throughout the entire information lifecycle. Built on a comprehensive and versatile code base, BiG EVAL's data quality management and testing tools are designed for peak performance and adaptability. Each feature has been developed through practical insights gained from collaborating with our clients. Maintaining high data quality across the full lifecycle is vital for effective data governance and is key to maximizing business value derived from your data. This is where the BiG EVAL DQM automation solution plays a critical role, assisting you with all aspects of data quality management. Continuous quality assessments validate your organization’s data, furnish quality metrics, and aid in addressing any quality challenges. Additionally, BiG EVAL DTA empowers you to automate testing processes within your data-centric projects, streamlining operations and enhancing efficiency. By integrating these tools, organizations can achieve a more reliable data environment that fosters informed decision-making.

Developing customer care marketing messages that promote a bias-free workplace is essential. Dost identifies toxic language, microaggressions, and unconscious bias in various forms of communication, including text, images, and videos, encouraging users to adjust their messaging accordingly. We have curated a range of resources designed to support you in managing change, enhancing communication, and effectively implementing Dost. This presentation outlines a comprehensive strategy for rolling out Dost, detailing the necessary steps for a successful launch within your organization. It serves as a practical guide for change leaders, offering clear directions on how to effectively introduce Dost to your workplace. Inside this document, you will find all the essential data required to advocate for the adoption of Dost among stakeholders and employees alike. Powered by advanced AI models, Dost specializes in identifying noninclusive language, which is defined based on established research criteria tailored for workplace communication. By utilizing insights gathered from both primary and secondary research, we ensure our AI models are equipped to foster a more inclusive environment. Ultimately, embracing tools like Dost can significantly enhance workplace dynamics and promote a culture of respect and understanding.

Content Moderation utilizes advanced deep learning techniques and draws on Alibaba's extensive experience in Big Data analytics to ensure precise oversight of various types of multimedia content, including images, videos, and text. This system not only aids in filtering out adult content, violence, terrorism, and illegal substances but also addresses issues related to spam and enhances the overall user experience. With the ability to deliver automated moderation responses in under 0.1 seconds and boasting an impressive accuracy rate exceeding 95 percent, it effectively identifies negative content related to harmful behaviors like extremism and profanity. The technology processes billions of multimedia pieces daily, ensuring scalability through Alibaba's sophisticated deep learning infrastructure. Users can tailor the moderation models to fit their unique needs, and the system continuously evolves its recognition capabilities by incorporating new data. As a result, this dynamic approach helps maintain a safer online environment while adapting to emerging trends in content.

Think your contact records are accurate? Think again. According to SiriusDecisions, 25% of all contact records contain critical errors. Ensure your data is pristine with Lead Validation – US , a powerful real-time API. It consolidates expertise in verifying business names, emails, addresses, phones, and devices, offering corrections and enhancements to contact records. Plus, it assigns a comprehensive lead quality score from 0 to 100. Integrating seamlessly with CRM and Marketing platforms Lead Validation - US provides actionable insights directly within your workflow. It cross-validates five crucial lead quality components—name, street address, phone number, email address, and IP address—utilizing over 130 data points. This thorough validation helps companies ensure accurate customer data at the point of entry and beyond.

Tonic provides an automated solution for generating mock data that retains essential features of sensitive datasets, enabling developers, data scientists, and sales teams to operate efficiently while ensuring confidentiality. By simulating your production data, Tonic produces de-identified, realistic, and secure datasets suitable for testing environments. The data is crafted to reflect your actual production data, allowing you to convey the same narrative in your testing scenarios. With Tonic, you receive safe and practical data designed to emulate your real-world data at scale. This tool generates data that not only resembles your production data but also behaves like it, facilitating safe sharing among teams, organizations, and across borders. It includes features for identifying, obfuscating, and transforming personally identifiable information (PII) and protected health information (PHI). Tonic also ensures the proactive safeguarding of sensitive data through automatic scanning, real-time alerts, de-identification processes, and mathematical assurances of data privacy. Moreover, it offers advanced subsetting capabilities across various database types. In addition to this, Tonic streamlines collaboration, compliance, and data workflows, delivering a fully automated experience to enhance productivity. With such robust features, Tonic stands out as a comprehensive solution for data security and usability, making it indispensable for organizations dealing with sensitive information.

Our cutting-edge data migration solution is meticulously crafted to seamlessly transfer and convert data from outdated legacy systems to modern frameworks, featuring robust data validation processes and instant reporting capabilities. Frequently, during the data migration journey, critical information may be lost or compromised, leading to significant challenges. The transition from older systems to newer ones entails a complicated and lengthy procedure. While it might be tempting to take shortcuts or to merge data without the necessary tools, such approaches often lead to expensive and prolonged frustrations. For institutions like State Agencies, the stakes are too high to risk errors during the initial transfer. This phase is notoriously difficult, and many organizations struggle to execute it successfully. A successful data migration initiative relies heavily on a solid initial design, which serves as the blueprint for the entire project. This stage involves carefully crafting and coding the rules needed to process various data types according to your unique requirements, ensuring a smoother migration experience. Ultimately, investing time and resources at this stage can significantly enhance the overall efficiency and accuracy of the migration process.

WhiteSpace offers innovative business integration solutions utilizing our proprietary Skimmer Technology. This technology leverages desktop automation capabilities inherent in the Microsoft Office suite, alongside advanced data mining and extraction methods, to enhance data quality from various sources. The processed data is then transformed into analytical outputs, which can be delivered through MS Excel, MS Word, MS Outlook, or even as web-based content. Many organizational challenges align perfectly with the advantages of Business Integration Solutions. By adopting the Skimmer Technology framework, integration projects benefit from enhanced tools and methodologies. This approach not only mitigates risks significantly but also accelerates the realization of returns. The initial phase of any integration endeavor should focus on the validation of data and reporting processes, as most manual reports lack thorough verification; Skimmers ensure the validation of these reports. Additionally, Skimmers fortify operational processes, thereby reducing the occurrence of variances introduced manually. Ultimately, the implementation of Skimmer Technology fosters a more reliable and efficient integration environment.

Enhance your business connectivity, foster growth, and effectively utilize cutting-edge technologies at scale with Syniti’s advanced data matching solutions. Regardless of your data's format or origin, our sophisticated matching software proficiently matches, removes duplicates, integrates, and standardizes data through intelligent, proprietary algorithms. By pushing the limits of traditional data quality approaches, Syniti’s matching solutions empower organizations to become data-centric. Experience an impressive 90% acceleration in data harmonization and a significant 75% decrease in time spent on de-duplication as you transition to SAP S/4HANA. Achieve deduplication, matching, and lookup on billions of records in just 5 minutes, thanks to our performance-ready processing and readily available solutions that function without pre-cleaned data. With the integration of AI, exclusive algorithms, and extensive customization, we enhance matching across intricate datasets while effectively reducing false positives. This innovative approach not only streamlines operations but also positions your business for future growth in a data-driven landscape.

It is important to communicate with a lead or customer effectively. Name Validation is a 40-step process that helps your business eliminate inaccurate and bogus names. It also prevents embarrassing personalization errors from being sent out to customers and prospects. It's important to get the names of your customers and prospects right. Accurate names can be crucial for effective personalization, and are also a good indicator of fraudulent or bogus submissions to web forms. Name Validation verifies both first and last name using a global database with more than 1.4 millions first names and 2.75 millions last names. It corrects common mistakes and flags garbage before it enters into your database. Our real-time service for name validation and verification corrects and tests against a proprietary consumer database that contains millions of names to determine an overall score. This score can be used by your business to block or deny bogus submissions.

The AuricVault® tokenization service protects your critical financial and personal information by securely storing that data and substituting it with a token. These tokens consist of random combinations of letters and numbers that bear no correlation to the actual stored data. Even if someone were to obtain all your tokens, they would still be unable to access any of your sensitive information. This process of tokenization achieves what is known as data separation, which ensures that no single entity possesses all the data at once. Auric's tokenization solution allows for granular permissions, enabling one or more authorized parties to access the sensitive tokenized information. Depending on your specific business model, implementing the AuricVault® tokenization service may also help to keep your systems and servers outside of PCI compliance requirements. By utilizing this service, we assist businesses in safeguarding billions of dollars and facilitating millions of transactions in a secure, efficient, and straightforward manner. Ultimately, our commitment is to bolster your security posture while simplifying the complexities of data management.

RightData is a versatile and user-friendly suite designed for data testing, reconciliation, and validation, enabling stakeholders to effectively pinpoint discrepancies in data consistency, quality, completeness, and existing gaps. This solution empowers users to analyze, design, construct, execute, and automate various reconciliation and validation scenarios without needing any programming skills. By identifying data issues in production, it aids in mitigating compliance risks, preserving credibility, and reducing financial exposure for organizations. RightData aims to enhance the overall quality, reliability, consistency, and completeness of your data. Additionally, it streamlines test cycles, thereby lowering delivery costs through the facilitation of Continuous Integration and Continuous Deployment (CI/CD). Furthermore, it automates the internal data audit processes, which not only broadens coverage but also boosts the audit readiness confidence within your organization, ensuring that you remain well-prepared for any compliance evaluations. Ultimately, RightData serves as a comprehensive solution for organizations seeking to optimize their data management processes and maintain high standards of data integrity.

A new artificial intelligence system has been developed to detect and respond to child sexual abuse material more efficiently, aimed at protecting victims at a faster rate. Utilizing real CSAM data, this AI effectively scans, identifies, and flags new images that depict child abuse with remarkable precision. In partnership with law enforcement and prominent Canadian universities, CEASE.ai employs a combination of neural networks and various AI models to achieve accurate detection of such harmful content. The system offers investigators a user-friendly plugin that allows them to upload images from their cases and run hash lists to filter out known content. Subsequently, the AI suggests potential labels and prioritizes images that may contain previously unseen CSAM. Investigators can then examine the flagged images, verify their illegal nature, strengthen their cases against perpetrators, and expedite the rescue of vulnerable victims. Additionally, social media platforms integrate with the CEASE.ai API endpoint, which processes all user-uploaded images in real time, ensuring that any content related to child abuse is swiftly identified and labeled by the system. This innovative approach not only enhances the efficiency of investigations but also contributes significantly to the protection of children at risk.

QuerySurge is the smart Data Testing solution that automates the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Applications with full DevOps functionality for continuous testing. Use Cases - Data Warehouse & ETL Testing - Big Data (Hadoop & NoSQL) Testing - DevOps for Data / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise Application/ERP Testing Features Supported Technologies - 200+ data stores are supported QuerySurge Projects - multi-project support Data Analytics Dashboard - provides insight into your data Query Wizard - no programming required Design Library - take total control of your custom test desig BI Tester - automated business report testing Scheduling - run now, periodically or at a set time Run Dashboard - analyze test runs in real-time Reports - 100s of reports API - full RESTful API DevOps for Data - integrates into your CI/CD pipeline Test Management Integration QuerySurge will help you: - Continuously detect data issues in the delivery pipeline - Dramatically increase data validation coverage - Leverage analytics to optimize your critical data - Improve your data quality at speed