Alternatives to Lamatic.ai

Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case. Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection. Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.

Google AI Studio is a user-friendly, web-based workspace that offers a streamlined environment for exploring and applying cutting-edge AI technology. It acts as a powerful launchpad for diving into the latest developments in AI, making complex processes more accessible to developers of all levels. The platform provides seamless access to Google's advanced Gemini AI models, creating an ideal space for collaboration and experimentation in building next-gen applications. With tools designed for efficient prompt crafting and model interaction, developers can quickly iterate and incorporate complex AI capabilities into their projects. The flexibility of the platform allows developers to explore a wide range of use cases and AI solutions without being constrained by technical limitations. Google AI Studio goes beyond basic testing by enabling a deeper understanding of model behavior, allowing users to fine-tune and enhance AI performance. This comprehensive platform unlocks the full potential of AI, facilitating innovation and improving efficiency in various fields by lowering the barriers to AI development. By removing complexities, it helps users focus on building impactful solutions faster.

Get the fastest time to revenue available and government-level security with NXT1 LaunchIT, the world’s first 100% serverless, SaaS deployment and management platform. Go from code to published SaaS in 15 minutes. NXT1 LaunchIT enables instant availability by streamlining and automating every aspect of cloud infrastructure management required for SaaS delivery and sales – simply code and deploy. LaunchIT adheres to CISA’s Secure by Design guidelines and provides a direct path to FedRAMP compliance-readiness at a fraction of the traditional time and cost required, establishing new, impactful sales opportunities into state and federal government agencies. Built on Zero Trust principles, with integrated CI/CD management, multi-account and multi-region support, comprehensive performance management and observability, full ecommerce support, and GitHub integration, LaunchIT accelerates time to revenue for technology startups, legacy application migrations, enterprise expansions, systems integrations, and independent software development. Get started today with a 15-day free trial.

Visual LANSA is a low code development platform that IT professionals use to create enterprise web and mobile apps more quickly, easier, and for a lower price than traditional coding. Visual LANSA is trusted by thousands of customers around the world. It eliminates the need to learn multiple technical skills required to create software applications. Once an app has been developed, it can then be deployed to an IBM i or Windows server. One IDE, one language. Visual LANSA includes features such as access Controls/Permissions, code assistance, code refactoring, collaboration tools, compatibility testing, data modeling, debugging, deployment management, graphical user interface, mobile development, No-Code, Reporting/Analytics, software development, source control, and version control. Visual LANSA provides 24/7 live support as well as online support.

You can use your favorite debugging software to locally troubleshoot your Kubernetes services. Telepresence, an open-source tool, allows you to run one service locally and connect it to a remote Kubernetes cluster. Telepresence was initially developed by Ambassador Labs, which creates open-source development tools for Kubernetes such as Ambassador and Forge. We welcome all contributions from the community. You can help us by submitting an issue, pull request or reporting a bug. Join our active Slack group to ask questions or inquire about paid support plans. Telepresence is currently under active development. Register to receive updates and announcements. You can quickly debug locally without waiting for a container to be built/push/deployed. Ability to use their favorite local tools such as debugger, IDE, etc. Ability to run large-scale programs that aren't possible locally.

platformOS works with brands like Intel, Arab Bank, NEOM.com, Hallmark, UiPath, Spark Digital (NZ), and funded startups, delivering 100% business rule flexibility for web applications, with a strong pedigree in multi-sided marketplaces. Whether Progressive Web Apps, IoT integration, native Mobile or any Web Browser supported frameworks like React, Angular, Node.js etc, platformOS meets the Enterprise scaling needs to build and run any and every business application scenario. As an APIs-for-Everything 'low code' application development platform’, platformOS offers an advanced developer / web agency supported ecosystem supporting Channel Partners and Enterprise Clients building powerful, zero limits, API centric solutions; with a much shortened time to market (and lower cost) that what is typical, especially for multi-sided marketplaces. In addition, platformOS provides multi-cloud devops infrastructure support “out of the box” which saves many thousands in operational costs.

BlueVector AI’s SnapApp™ Application Builder provides a flexible, low-code environment for building AI-powered applications quickly and with less reliance on traditional coding. Its visual drag-and-drop interface allows developers to configure AI models like natural language processing and image recognition, as well as connect to external APIs seamlessly. This reduces development time and costs while enabling the creation of sophisticated agentic apps tailored for industries such as government health, public safety, and revenue management. SnapApp™ also supports automating workflows around licensing, correspondence, board management, and more. With a strong emphasis on security, compliance, and scalability, the platform integrates built-in accessibility features and robust data protection. Users benefit from faster prototyping, smoother integration, and enhanced citizen services through AI-driven automation. The platform’s GenAI capabilities streamline document processing, case management, and virtual agent deployment. BlueVector AI powers organizations to accelerate digital transformation with powerful, easy-to-use AI app tools.

Appsmith enables organizations to create custom internal applications quickly with minimal coding. The platform allows users to build applications by connecting data sources, APIs, and workflows through a user-friendly drag-and-drop interface. Appsmith's flexibility with JavaScript lets developers fully customize components, while the open-source architecture and enterprise security features ensure scalability and compliance. With self-hosting and cloud deployment options, businesses can choose the best setup for their needs, whether for simple dashboards or complex business applications. Appsmith offers a comprehensive solution for creating and deploying custom AI agents that can automate key business processes. Designed for sales, support, and people management teams, the platform allows companies to embed conversational agents into their systems. Appsmith's AI agents enhance operational efficiency by managing routine tasks, providing real-time insights, and boosting team productivity, all while leveraging secure data.

Movestax is a platform that focuses on serverless functions for builders. Movestax offers a range of services, including serverless functions, databases and authentication. Movestax has the services that you need to grow, whether you're starting out or scaling quickly. Instantly deploy frontend and backend apps with integrated CI/CD. PostgreSQL and MySQL are fully managed, scalable, and just work. Create sophisticated workflows and integrate them directly into your cloud infrastructure. Run serverless functions to automate tasks without managing servers. Movestax's integrated authentication system simplifies user management. Accelerate development by leveraging pre-built APIs. Object storage is a secure, scalable way to store and retrieve files.

With a variety of preset modules and low-code editing features readily accessible, you have everything necessary for effective data management. Harness the capabilities of both Windows and Mac to design your ideal ERP solution, all without relying on cloud services. The Android and iOS applications ensure that your databases remain at your fingertips, even when offline. You can browse using your preferred web browsers from any location, making accessibility a breeze. Each template comes equipped with numerous components that are ready for installation, tailored to fit your workflow seamlessly. User permissions allow for the assignment of specific data to one or more individuals, ensuring that each user can access only their designated information alongside what you choose to share. Nios4 even supports operation on a single device without the need for data sharing, although doing so may limit your experience of the system's full capabilities. You can create as many sections as needed and optimize how your data is displayed in tables. Additionally, the integrated GPS functionality enables you to pinpoint the exact locations where your data is gathered, enhancing your data collection efforts. This comprehensive approach to data management ensures that you remain organized and efficient, regardless of your working environment.

Unlock the potential to turn your innovative concepts into AI applications within moments. Our no-code/low-code platform empowers everyone, from seasoned developers to everyday business users, to craft cutting-edge AI-based applications in just 10 minutes. Effortlessly connect with APIs such as ChatGPT, Dall-E 2, and Codex from OpenAI, along with the ability to implement custom machine learning models. You can create tailored admin clients and CRUD functionalities, enabling efficient management of sales, inventory, contracts, and beyond. Develop interactive dashboards that convert data into insightful actions, driving innovation within your organization. Additionally, easily set up a chatbot to enhance customer support and create a truly omnichannel experience through various integrations. This comprehensive cloud platform harmonizes low-code/no-code tools with advanced technologies, ensuring your web applications are scalable, secure, and straightforward to oversee. Revolutionize your software development journey with our versatile no-code/low-code platform, which is ideal for both business users and skilled developers, paving the way for limitless possibilities. Moreover, the user-friendly interface ensures that anyone can get started quickly, making technology accessible to all.

Create, launch, and manage Enterprise AI solutions effortlessly. The C3 AI® Suite employs a distinctive model-driven architecture that not only speeds up delivery but also simplifies the complexities associated with crafting enterprise AI solutions. This innovative architectural approach features an "abstraction layer," enabling developers to construct enterprise AI applications by leveraging conceptual models of all necessary components, rather than engaging in extensive coding. This methodology yields remarkable advantages: Implement AI applications and models that enhance operations for each product, asset, customer, or transaction across various regions and sectors. Experience the deployment of AI applications and witness results within just 1-2 quarters, enabling a swift introduction of additional applications and functionalities. Furthermore, unlock ongoing value—potentially amounting to hundreds of millions to billions of dollars annually—through cost reductions, revenue increases, and improved profit margins. Additionally, C3.ai’s comprehensive platform ensures systematic governance of AI across the enterprise, providing robust data lineage and oversight capabilities. This unified approach not only fosters efficiency but also promotes a culture of responsible AI usage within organizations.

Accelerate the development of enterprise applications using the Salesforce Platform, which offers a cohesive suite of tools and services that enables developers to efficiently create and launch robust, secure, and scalable cloud-based applications. Through the Salesforce Platform, developers have the ability to tailor their CRM solutions using myLightning, enhance employee engagement with AI-driven applications, implement security and compliance measures, and foster customer interaction. The cost for accessing Salesforce Platform begins at $25 for each user per month, making it an accessible option for businesses of various sizes. This flexibility and range of features make it an attractive choice for organizations looking to innovate quickly and effectively.

Dynamiq serves as a comprehensive platform tailored for engineers and data scientists, enabling them to construct, deploy, evaluate, monitor, and refine Large Language Models for various enterprise applications. Notable characteristics include: 🛠️ Workflows: Utilize a low-code interface to design GenAI workflows that streamline tasks on a large scale. 🧠 Knowledge & RAG: Develop personalized RAG knowledge bases and swiftly implement vector databases. 🤖 Agents Ops: Design specialized LLM agents capable of addressing intricate tasks while linking them to your internal APIs. 📈 Observability: Track all interactions and conduct extensive evaluations of LLM quality. 🦺 Guardrails: Ensure accurate and dependable LLM outputs through pre-existing validators, detection of sensitive information, and safeguards against data breaches. 📻 Fine-tuning: Tailor proprietary LLM models to align with your organization's specific needs and preferences. With these features, Dynamiq empowers users to harness the full potential of language models for innovative solutions.

Cloud Foundry effectively synchronizes the build and deployment processes of software development with associated services, leading to rapid, uniform, and dependable application iterations. As a leading platform as a service (PaaS) solution, it facilitates the swiftest, simplest, and most trustworthy deployment of cloud-native applications. IBM provides various hosting models for its Cloud Foundry PaaS, enabling users to tailor their experience while considering factors such as cost, speed of deployment, and security. The platform supports a range of runtimes, including Java, Node.js, PHP, Python, Ruby, ASP.NET, Tomcat, Swift, and Go, along with community build packs. When integrated with DevOps services, these application runtimes create a delivery pipeline that streamlines and automates significant portions of the iterative development workflow. This orchestration empowers developers to enhance productivity while reducing the time to market for their applications.

Levity is a no-code platform for creating custom AI models that take daily, repetitive tasks off your shoulders. Levity allows you to train AI models on documents, free text or images without writing any code. Build intelligent automations into existing workflows and connect them to the tools you already use. The platform is designed in a non-technical way, so everybody can start building within minutes and set up powerful automations without waiting for developer resources. If you struggle with daily tedious tasks that rule-based automation just can't handle, Levity is the quickest way to finally let machines handle them. Check out Levity's extensive library of templates for common use-cases such as sentiment analysis, customer support or document classification to get started within minutes. Add your custom data to further tailor the AI to your specific needs and only stay in the loop for difficult cases, so the AI can learn along the way.

Istio is an innovative open-source technology that enables developers to effortlessly connect, manage, and secure various microservices networks, irrespective of the platform, origin, or vendor. With a rapidly increasing number of contributors on GitHub, Istio stands out as one of the most prominent open-source initiatives, bolstered by a robust community. IBM takes pride in being a founding member and significant contributor to the Istio project, actively leading its Working Groups. On the IBM Cloud Kubernetes Service, Istio is available as a managed add-on, seamlessly integrating with your Kubernetes cluster. With just one click, users can deploy a well-optimized, production-ready instance of Istio on their IBM Cloud Kubernetes Service cluster, which includes essential core components along with tools for tracing, monitoring, and visualization. This streamlined process ensures that all Istio components are regularly updated by IBM, which also oversees the lifecycle of the control-plane components, providing users with a hassle-free experience. As microservices continue to evolve, Istio's role in simplifying their management becomes increasingly vital.

Teammately is an innovative AI agent designed to transform the landscape of AI development by autonomously iterating on AI products, models, and agents to achieve goals that surpass human abilities. Utilizing a scientific methodology, it fine-tunes and selects the best combinations of prompts, foundational models, and methods for knowledge organization. To guarantee dependability, Teammately creates unbiased test datasets and develops adaptive LLM-as-a-judge systems customized for specific projects, effectively measuring AI performance and reducing instances of hallucinations. The platform is tailored to align with your objectives through Product Requirement Docs (PRD), facilitating targeted iterations towards the intended results. Among its notable features are multi-step prompting, serverless vector search capabilities, and thorough iteration processes that consistently enhance AI until the set goals are met. Furthermore, Teammately prioritizes efficiency by focusing on identifying the most compact models, which leads to cost reductions and improved overall performance. This approach not only streamlines the development process but also empowers users to leverage AI technology more effectively in achieving their aspirations.

Basalt is a cutting-edge platform designed to empower teams in the swift development, testing, and launch of enhanced AI features. Utilizing Basalt’s no-code playground, users can rapidly prototype with guided prompts and structured sections. The platform facilitates efficient iteration by enabling users to save and alternate between various versions and models, benefiting from multi-model compatibility and comprehensive versioning. Users can refine their prompts through suggestions from the co-pilot feature. Furthermore, Basalt allows for robust evaluation and iteration, whether through testing with real-world scenarios, uploading existing datasets, or allowing the platform to generate new data. You can execute your prompts at scale across numerous test cases, building trust with evaluators and engaging in expert review sessions to ensure quality. The seamless deployment process through the Basalt SDK simplifies the integration of prompts into your existing codebase. Additionally, users can monitor performance by capturing logs and tracking usage in live environments while optimizing their AI solutions by remaining updated on emerging errors and edge cases that may arise. This comprehensive approach not only streamlines the development process but also enhances the overall effectiveness of AI feature implementation.

The Reify low-code platform enables users to visually craft robust enterprise applications that adapt seamlessly to mobile environments within a collaborative cloud setting. Through Reify's Hybrid Development framework, users can integrate traditional IDE development with visual design in an intuitive manner, allowing for a harmonious blend of both approaches. This platform generates entirely declarative code that is deployable across all devices or can be incorporated into IDE-based projects while remaining editable in the cloud. Users have the flexibility to connect to internal data services, introduce new features within the design interface, and tailor deployment processes to meet their specific needs—essentially, the possibilities are endless! Furthermore, Reify is a component of the broader SmartClient platform, meaning that skills acquired in extending and customizing Reify applications are transferable to enhancing Reify itself, enriching the overall learning experience. This interconnectedness empowers developers to innovate more effectively and efficiently in their application development endeavors.

Maxim is a enterprise-grade stack that enables AI teams to build applications with speed, reliability, and quality. Bring the best practices from traditional software development to your non-deterministic AI work flows. Playground for your rapid engineering needs. Iterate quickly and systematically with your team. Organise and version prompts away from the codebase. Test, iterate and deploy prompts with no code changes. Connect to your data, RAG Pipelines, and prompt tools. Chain prompts, other components and workflows together to create and test workflows. Unified framework for machine- and human-evaluation. Quantify improvements and regressions to deploy with confidence. Visualize the evaluation of large test suites and multiple versions. Simplify and scale human assessment pipelines. Integrate seamlessly into your CI/CD workflows. Monitor AI system usage in real-time and optimize it with speed.

Wordware allows anyone to create, refine, and launch effective AI agents, blending the strengths of traditional software with the capabilities of natural language. By eliminating the limitations commonly found in conventional no-code platforms, it empowers every team member to work autonomously in their iterations. The age of natural language programming has arrived, and Wordware liberates prompts from the confines of codebases, offering a robust IDE for both technical and non-technical users to build AI agents. Discover the ease and adaptability of our user-friendly interface, which fosters seamless collaboration among team members, simplifies prompt management, and enhances workflow efficiency. With features like loops, branching, structured generation, version control, and type safety, you can maximize the potential of large language models, while the option for custom code execution enables integration with nearly any API. Effortlessly switch between leading large language model providers with a single click, ensuring you can optimize your workflows for the best balance of cost, latency, and quality tailored to your specific application needs. As a result, teams can innovate more rapidly and effectively than ever before.

LMOps is a stack that allows you to launch production-ready applications for monitoring, model management and more. Portkey is a replacement for OpenAI or any other provider APIs. Portkey allows you to manage engines, parameters and versions. Switch, upgrade, and test models with confidence. View aggregate metrics for your app and users to optimize usage and API costs Protect your user data from malicious attacks and accidental exposure. Receive proactive alerts if things go wrong. Test your models in real-world conditions and deploy the best performers. We have been building apps on top of LLM's APIs for over 2 1/2 years. While building a PoC only took a weekend, bringing it to production and managing it was a hassle! We built Portkey to help you successfully deploy large language models APIs into your applications. We're happy to help you, regardless of whether or not you try Portkey!

Klu.ai, a Generative AI Platform, simplifies the design, deployment, and optimization of AI applications. Klu integrates your Large Language Models and incorporates data from diverse sources to give your applications unique context. Klu accelerates the building of applications using language models such as Anthropic Claude (Azure OpenAI), GPT-4 (Google's GPT-4), and over 15 others. It allows rapid prompt/model experiments, data collection and user feedback and model fine tuning while cost-effectively optimising performance. Ship prompt generation, chat experiences and workflows in minutes. Klu offers SDKs for all capabilities and an API-first strategy to enable developer productivity. Klu automatically provides abstractions to common LLM/GenAI usage cases, such as: LLM connectors and vector storage, prompt templates, observability and evaluation/testing tools.

Discover a seamless approach to creating serverless autonomous AI agents equipped with memory capabilities. Begin by developing local-first, agentic pipelines, tools, and memory systems, and deploy them effortlessly with a single command. Base AI empowers developers to craft high-quality AI agents with memory (RAG) using TypeScript, which can then be deployed as a highly scalable API via Langbase, the creators behind Base AI. This web-first platform offers TypeScript support and a user-friendly RESTful API, allowing for straightforward integration of AI into your web stack, similar to the process of adding a React component or API route, regardless of whether you are utilizing Next.js, Vue, or standard Node.js. With many AI applications available on the web, Base AI accelerates the delivery of AI features, enabling you to develop locally without incurring cloud expenses. Moreover, Git support is integrated by default, facilitating the branching and merging of AI models as if they were code. Comprehensive observability logs provide the ability to debug AI-related JavaScript, offering insights into decisions, data points, and outputs. Essentially, this tool functions like Chrome DevTools tailored for your AI projects, transforming the way you develop and manage AI functionalities in your applications. By utilizing Base AI, developers can significantly enhance productivity while maintaining full control over their AI implementations.

Empromptu revolutionizes AI app development by providing a complete, no-code solution for building enterprise-grade AI applications that achieve up to 98% accuracy in real-world conditions. Unlike many AI builders that produce demos prone to failure with real data, Empromptu integrates intelligent models, retrieval-augmented generation (RAG), and robust infrastructure to deliver dependable apps. Its unique dynamic optimization automatically adjusts prompts based on context, significantly reducing errors and hallucinations. Users benefit from seamless deployment options including cloud, on-premise, or containerized environments, all secured with enterprise-grade protocols. Empromptu empowers teams to design custom user interfaces and provides comprehensive analytics to track AI accuracy and usage. The platform removes the complexity of AI engineering by offering tools accessible to product managers, non-technical founders, and CTOs alike. Empromptu is trusted by leaders aiming to accelerate AI strategy execution without the usual risks. It is the ideal choice for companies that need reliable, scalable AI applications without months of development.

Retool is a platform that enables developers to combine the benefits of traditional software development with a drag-and-drop editor and AI to build internal tools faster. Every tool can be deployed anywhere, debugged with your toolchain, and shared reliably at any scale—ensuring good software by default. Retool is used by industry leaders such as Amazon, American Express, and OpenAI for mission critical custom software across operations, billing, and customer support.

Unexpected outcomes are a common occurrence in software development. With complete insight into the entire sequence of calls, developers can pinpoint the origins of errors and unexpected results in real time with remarkable accuracy. The discipline of software engineering heavily depends on unit testing to create efficient and production-ready software solutions. LangSmith offers similar capabilities tailored specifically for LLM applications. You can quickly generate test datasets, execute your applications on them, and analyze the results without leaving the LangSmith platform. This tool provides essential observability for mission-critical applications with minimal coding effort. LangSmith is crafted to empower developers in navigating the complexities and leveraging the potential of LLMs. We aim to do more than just create tools; we are dedicated to establishing reliable best practices for developers. You can confidently build and deploy LLM applications, backed by comprehensive application usage statistics. This includes gathering feedback, filtering traces, measuring costs and performance, curating datasets, comparing chain efficiencies, utilizing AI-assisted evaluations, and embracing industry-leading practices to enhance your development process. This holistic approach ensures that developers are well-equipped to handle the challenges of LLM integrations.

Develop and implement a multitude of applications, workflows, and intelligent agents using a sophisticated, secure, and scalable low-code data platform, with the opportunity to explore its features for free through a trial of Power Apps. Rapidly enhance business value with a versatile data platform that incorporates ready-to-use common tables, additional attributes, semantic understanding, and an open ecosystem facilitated by the Common Data Model. Increase productivity and lower expenses by swiftly creating applications, processes, and reusable data frameworks, while consistently building, testing, and deploying your projects with the aid of GitHub and Azure DevOps. Gain more precise insights by integrating low-code AI tools into your automation processes, while also identifying and resolving issues related to duplicate and conflicting data through a managed data platform that encompasses inherent business logic and guidelines. Safeguard your information with a comprehensive security management system that offers essential security and compliance features, including encryption, extensive access controls, and seamless integration with Azure Active Directory, ensuring that your data is not only protected but also compliant with industry standards. Incorporating these advanced features will empower organizations to streamline their operations and enhance their decision-making processes.

We've provided a few typical examples, yet the compilation is certainly not comprehensive. Our dedicated solution engineering team is ready to collaborate with you in tailoring Kolena to fit your specific workflows and business goals. Relying solely on aggregate metrics can be misleading, as unanticipated model behavior in a production setting is often the standard. Existing testing methods tend to be manual, susceptible to errors, and lack consistency. Furthermore, models are frequently assessed using arbitrary statistical metrics, which may not align well with the actual objectives of the product. Monitoring model enhancements over time as data changes presents its own challenges, and strategies that work well in a research context often fall short in meeting the rigorous requirements of production environments. As a result, a more robust approach to model evaluation and improvement is essential for success.

Dataphin is crafted to assist users in developing and overseeing intelligent, cohesive data assets while fostering innovation. It serves as a comprehensive all-in-one platform that encompasses data integration, warehouse modeling, identity and profile creation, asset management, and various data services. Through Dataphin's integration capabilities, users can consolidate their organization’s data assets from diverse computing and storage environments, utilizing warehousing services to streamline the design and development of data warehouses. Additionally, the distilling service allows users to generate detailed profiles for uniquely identifiable business entities, including customers and products. The asset management feature oversees the entire spectrum of the organization’s data assets, enabling users to effortlessly search for information, ensure optimal data application performance, and analyze data costs for better management. Furthermore, Dataphin’s data service module includes a query interface and APIs that facilitate analytics and support a variety of SaaS-based data applications, enhancing overall user experience and operational efficiency. With its multifaceted capabilities, Dataphin empowers businesses to harness their data assets effectively and drive innovation forward.

Daria's innovative automated capabilities enable users to swiftly and effectively develop predictive models, drastically reducing the lengthy iterative processes typically associated with conventional machine learning methods. It eliminates both financial and technological obstacles, allowing enterprises to create AI systems from the ground up. By automating machine learning workflows, Daria helps data professionals save weeks of effort typically spent on repetitive tasks. The platform also offers a user-friendly graphical interface, making it accessible for those new to data science to gain practical experience in machine learning. With a suite of data transformation tools at their disposal, users can effortlessly create various feature sets. Daria conducts an extensive exploration of millions of potential algorithm combinations, modeling strategies, and hyperparameter configurations to identify the most effective predictive model. Moreover, models generated using Daria can be seamlessly deployed into production with just a single line of code through its RESTful API. This streamlined process not only enhances productivity but also empowers businesses to leverage AI more effectively in their operations.

ProcessMIX is an intuitive, visual, drag-and drop interface that allows users to quickly develop, validate and deploy workflows and decision-making solutions. You can easily integrate best decision making practices across industries, such as banking, finance and insurance, telecom and more, by leveraging ProcessMIX’s automation capabilities. ProcessMIX is designed to help you quickly create and deploy tailor-made solutions that address business challenges. ProcessMIX's visual language allows you to create projects that are tailored to your specific needs. You can edit, create and debug your projects within the platform using a variety of ready-made components that speed up development and minimize stress.

Low-code backend-as a-service platform that allows you to quickly build hosted APIs. Our intuitive UI allows you to define your schema and we will provide a hosted backend and basic CRUD APIs. You have two options: either connect to your MongoDB instance or PostgreSQL. You will be able create APIs, add webhooks and integrate with the frontend. You will also receive an autogenerated documentation and a CMS built-in. Canonic's graph-based editor changes how we define data using content platforms. Visualize and instantly see relationships. Drag and drop is easier than drag and drop. A headless CMS that molds to your content. This makes authoring and publishing easy and quick. You can trigger workflows whenever data changes. Execute functions, deploy builds, and send messages. Canonic automatically generates detailed documentation about your APIs, including examples and their parameters.

The future of artificial intelligence hinges on unstructured data. Embrace this potential now by creating a scalable ML/AI pipeline that consolidates all your unstructured data within a single platform. By leveraging superior data, you can develop enhanced models, exclusively with Graviti. Discover a data platform tailored for AI practitioners, equipped with management capabilities, query functionality, and version control specifically designed for handling unstructured data. Achieving high-quality data is no longer an unattainable aspiration. Centralize your metadata, annotations, and predictions effortlessly. Tailor filters and visualize the results to quickly access the data that aligns with your requirements. Employ a Git-like framework for version management and facilitate collaboration among your team members. With role-based access control and clear visual representations of version changes, your team can collaborate efficiently and securely. Streamline your data pipeline using Graviti’s integrated marketplace and workflow builder, allowing you to enhance model iterations without the tedious effort. This innovative approach not only saves time but also empowers teams to focus on creativity and problem-solving.

Flowise is a versatile open-source platform that simplifies the creation of tailored Large Language Model (LLM) applications using an intuitive drag-and-drop interface designed for low-code development. This platform accommodates connections with multiple LLMs, such as LangChain and LlamaIndex, and boasts more than 100 integrations to support the building of AI agents and orchestration workflows. Additionally, Flowise offers a variety of APIs, SDKs, and embedded widgets that enable smooth integration into pre-existing systems, ensuring compatibility across different platforms, including deployment in isolated environments using local LLMs and vector databases. As a result, developers can efficiently create and manage sophisticated AI solutions with minimal technical barriers.

Autoblocks offers AI teams the tools to streamline the process of testing, validating, and launching reliable AI agents. The platform eliminates traditional manual testing by automating the generation of test cases based on real user inputs and continuously integrating SME feedback into the model evaluation. Autoblocks ensures the stability and predictability of AI agents, even in industries with sensitive data, by providing tools for edge case detection, red-teaming, and simulation to catch potential risks before deployment. This solution enables faster, safer deployment without sacrificing quality or compliance.

Declarative machine learning systems offer an ideal combination of flexibility and ease of use, facilitating the rapid implementation of cutting-edge models. Users concentrate on defining the “what” while the system autonomously determines the “how.” Though you can start with intelligent defaults, you have the freedom to adjust parameters extensively, even diving into code if necessary. Our team has been at the forefront of developing declarative machine learning systems in the industry, exemplified by Ludwig at Uber and Overton at Apple. Enjoy a selection of prebuilt data connectors designed for seamless compatibility with your databases, data warehouses, lakehouses, and object storage solutions. This approach allows you to train advanced deep learning models without the hassle of infrastructure management. Automated Machine Learning achieves a perfect equilibrium between flexibility and control, all while maintaining a declarative structure. By adopting this declarative method, you can finally train and deploy models at the speed you desire, enhancing productivity and innovation in your projects. The ease of use encourages experimentation, making it easier to refine models based on your specific needs.

Atla serves as a comprehensive observability and evaluation platform tailored for AI agents, focusing on diagnosing and resolving failures effectively. It enables real-time insights into every decision, tool utilization, and interaction, allowing users to track each agent's execution, comprehend errors at each step, and pinpoint the underlying causes of failures. By intelligently identifying recurring issues across a vast array of traces, Atla eliminates the need for tedious manual log reviews and offers concrete, actionable recommendations for enhancements based on observed error trends. Users can concurrently test different models and prompts to assess their performance, apply suggested improvements, and evaluate the impact of modifications on success rates. Each individual trace is distilled into clear, concise narratives for detailed examination, while aggregated data reveals overarching patterns that highlight systemic challenges rather than mere isolated incidents. Additionally, Atla is designed for seamless integration with existing tools such as OpenAI, LangChain, Autogen AI, Pydantic AI, and several others, ensuring a smooth user experience. This platform not only enhances the efficiency of AI agents but also empowers users with the insights needed to drive continuous improvement and innovation.

Substrate serves as the foundation for agentic AI, featuring sophisticated abstractions and high-performance elements, including optimized models, a vector database, a code interpreter, and a model router. It stands out as the sole compute engine crafted specifically to handle complex multi-step AI tasks. By merely describing your task and linking components, Substrate can execute it at remarkable speed. Your workload is assessed as a directed acyclic graph, which is then optimized; for instance, it consolidates nodes that are suitable for batch processing. The Substrate inference engine efficiently organizes your workflow graph, employing enhanced parallelism to simplify the process of integrating various inference APIs. Forget about asynchronous programming—just connect the nodes and allow Substrate to handle the parallelization of your workload seamlessly. Our robust infrastructure ensures that your entire workload operates within the same cluster, often utilizing a single machine, thereby eliminating delays caused by unnecessary data transfers and cross-region HTTP requests. This streamlined approach not only enhances efficiency but also significantly accelerates task execution times.

Cloud Foundry simplifies and accelerates the processes of building, testing, deploying, and scaling applications while offering a variety of cloud options, developer frameworks, and application services. As an open-source initiative, it can be accessed through numerous private cloud distributions as well as public cloud services. Featuring a container-based architecture, Cloud Foundry supports applications written in multiple programming languages. You can deploy applications to Cloud Foundry with your current tools and without needing to alter the code. Additionally, CF BOSH allows you to create, deploy, and manage high-availability Kubernetes clusters across any cloud environment. By separating applications from the underlying infrastructure, users have the flexibility to determine the optimal hosting solutions for their workloads—be it on-premises, public clouds, or managed infrastructures—and can relocate these workloads swiftly, typically within minutes, without any modifications to the applications themselves. This level of flexibility enables businesses to adapt quickly to changing needs and optimize resource usage effectively.

alwaysAI offers a straightforward and adaptable platform for developers to create, train, and deploy computer vision applications across a diverse range of IoT devices. You can choose from an extensive library of deep learning models or upload your custom models as needed. Our versatile and customizable APIs facilitate the rapid implementation of essential computer vision functionalities. You have the capability to quickly prototype, evaluate, and refine your projects using an array of camera-enabled ARM-32, ARM-64, and x86 devices. Recognize objects in images by their labels or classifications, and identify and count them in real-time video streams. Track the same object through multiple frames, or detect faces and entire bodies within a scene for counting or tracking purposes. You can also outline and define boundaries around distinct objects, differentiate essential elements in an image from the background, and assess human poses, fall incidents, and emotional expressions. Utilize our model training toolkit to develop an object detection model aimed at recognizing virtually any object, allowing you to create a model specifically designed for your unique requirements. With these powerful tools at your disposal, you can revolutionize the way you approach computer vision projects.

Deploy your applications seamlessly with options like containers, virtual machines, or serverless architectures, while effortlessly integrating auto-scaling, performance monitoring, and fault diagnosis features. The platform is compatible with popular frameworks such as Spring Cloud and Dubbo, as well as Service Mesh, offering comprehensive solutions that cater to various scenarios and supporting widely-used programming languages including Java, Go, PHP, Node.js, and Python. Additionally, it facilitates the cloud-native transformation of Huawei's core services, ensuring compliance with rigorous performance, usability, and security standards. A variety of development frameworks, execution environments, and essential components are provided for web, microservices, mobile, and artificial intelligence applications. It allows for complete management of applications across their lifecycle, from deployment to upgrades. The system includes robust monitoring tools, event tracking, alarm notifications, log management, and tracing diagnostics, enhanced by built-in AI functionalities that simplify operations and maintenance. Furthermore, it enables the creation of a highly customizable application delivery pipeline with just a few clicks, enhancing both efficiency and user experience. Overall, this comprehensive solution empowers developers to streamline their workflow and optimize application performance effectively.

Establish your Kubernetes infrastructure and utilize KubeGrid for the seamless deployment, monitoring, and optimization of potentially thousands of clusters. KubeGrid streamlines the complete lifecycle management of Kubernetes across both on-premises and cloud environments, allowing developers to effortlessly deploy, manage, and update numerous clusters. As a Platform as Code solution, KubeGrid enables you to declaratively specify all your Kubernetes needs in a code format, covering everything from your on-prem or cloud infrastructure to the specifics of clusters and autoscaling policies, with KubeGrid handling the deployment and management automatically. While most infrastructure-as-code solutions focus solely on provisioning, KubeGrid enhances the experience by automating Day 2 operations, including monitoring infrastructure, managing failovers for unhealthy nodes, and updating both clusters and their operating systems. Thanks to its innovative approach, Kubernetes excels in the automated provisioning of pods, ensuring efficient resource utilization across your infrastructure. By adopting KubeGrid, you transform the complexities of Kubernetes management into a streamlined and efficient process.

Vertesia serves as a comprehensive, low-code platform for generative AI that empowers enterprise teams to swiftly design, implement, and manage GenAI applications and agents on a large scale. Tailored for both business users and IT professionals, it facilitates a seamless development process, enabling a transition from initial prototype to final production without the need for lengthy timelines or cumbersome infrastructure. The platform accommodates a variety of generative AI models from top inference providers, granting users flexibility and reducing the risk of vendor lock-in. Additionally, Vertesia's agentic retrieval-augmented generation (RAG) pipeline boosts the precision and efficiency of generative AI by automating the content preparation process, which encompasses advanced document processing and semantic chunking techniques. With robust enterprise-level security measures, adherence to SOC2 compliance, and compatibility with major cloud services like AWS, GCP, and Azure, Vertesia guarantees safe and scalable deployment solutions. By simplifying the complexities of AI application development, Vertesia significantly accelerates the path to innovation for organizations looking to harness the power of generative AI.