AI & ML brands
Every brand SlateIndex tracks, with how AI engines describe, rank and cite it.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 98.8%·next run
Faiss is a library for efficient similarity search and clustering of dense vectors. It is written in C++ with complete Python wrappers and can search sets of vectors that may not fit in RAM. Some of its algorithms run on the GPU, and it can store indexes on disk. It runs inside the calling process and is not a hosted service or a full vector database.
Feast is an open-source feature store for machine learning. It lets teams define, manage, discover and serve features for both training and online inference. It also delivers structured data to AI and LLM applications, including vector similarity retrieval for RAG.
Fiddler is an AI control plane for enterprise AI agents and predictive models. It provides continuous evaluation, monitoring, inline enforcement of policy, and auditable governance across the lifecycle, from coding-agent creation through production. Its Fiddler Centor Models run guardrails and evaluations inside the customer's environment without external LLM API calls, and the platform deploys as SaaS, VPC, or on-premises.
Flowise is an open-source visual builder for LangChain and LangGraph-based AI agents and RAG pipelines, released under Apache 2.0. Users connect document loaders, LLMs, logic operators and tool interfaces through a drag-and-drop interface, and can self-host it or use a managed cloud version with usage-based tiers. The company has announced that Flowise is being sunset.
Flyte is an open source, Apache 2.0 licensed runtime for running AI workloads such as training, serving and agents as Python workflows. It recovers from infrastructure failures such as OOM kills and preempted nodes, and from code failures by resuming the failed task with the same inputs. Users run open-source Flyte on their own Kubernetes cluster, and Union.ai offers a commercial managed version.
Galileo is an AI observability and evaluation platform for teams that build and run GenAI applications and agents. It runs evaluations offline and reuses them as production guardrails, and it distills LLM-as-judge evaluators into smaller Luna models that monitor traffic at lower cost.
GitHub is a hosted platform for source code repositories, pull request code review, issue tracking and team collaboration. It adds GitHub Actions for CI/CD automation, GitHub Copilot for AI-assisted coding and agent tasks, and Codespaces for cloud development environments. Code Security and Secret Protection scan repositories for vulnerabilities and leaked secrets, and Enterprise customers can run a self-hosted GitHub Enterprise Server instance.
Glean is an enterprise AI platform that connects company knowledge to power search, answers and AI agents. Its products, including Glean Assistant, Glean Agents and Glean Protect, work across connected enterprise tools, and access follows the permissions of the source systems.
ADK (Agent Development Kit) is an open-source framework from Google for developing and deploying AI agents. It is optimized for Gemini and Google Cloud but is model-agnostic and deployment-agnostic. It supports code-first development, modular multi-agent systems, built-in tracing and monitoring, and structured agent types (LLM, sequential, parallel and loop).
Gemini Enterprise is a Google Cloud product that combines intranet search over connected business systems, an AI assistant, and an agent platform. It includes prebuilt connectors for systems such as Confluence, Jira, Microsoft SharePoint and ServiceNow, with permissions-aware search. Organizations can use prebuilt Google agents, no-code agents built in Agent Designer, and compatible third-party agents on eligible editions. It launched in October 2025 and is built on what was previously called Agentspace.
Vertex AI is a managed platform from Google Cloud that covers model training, deployment, generative AI, and MLOps in one environment. Its core modules include Pipelines, Feature Store, Model Registry, Model Monitoring, and managed Workbench notebooks. Models are registered and then deployed to a managed endpoint with a chosen machine type. Google has said the product is succeeded by Gemini Enterprise Agent Platform.
Vector Search is a managed vector database offered by Google Cloud, built on ScaNN, a search algorithm developed by Google Research. Version 2.0 stores vectors, metadata and content together in a single resource called a Collection. It supports semantic, text and hybrid search modes in one request.
Gravitee is an AI agent management platform that secures, observes and governs AI agents, APIs and event interactions. Its Agent Management module adds an AI gateway, agent catalog, security checks and spend limits for models, alongside API management, Kafka event management, authorization and identity modules. It can be self-hosted, hybrid or run as full SaaS.
Gumloop is a multiplayer AI agent builder that lets employees at a company build agents with any AI model and any integration. IT controls access, spend and data through role-based access control, audit logs, spend caps and an MCP gateway. Its products include Gumloop Agents, Gumstack for MCP security and observability, Gumloop Browser for agent web tasks, and Gumball, a personal agent for workplace tasks.
H2O AI Cloud is a platform for building, deploying, governing and running predictive, generative and agentic AI on infrastructure the customer controls, from on-premises and private cloud to fully air-gapped environments. It bundles products such as H2O-3, Driverless AI, h2oGPTe and H2O MLOps, with the H2O AI Super Agent orchestrating them. Governance, audit trails and human-in-the-loop controls are part of the platform. The vendor states that it is licensed annually on compute and memory rather than per token.
Haystack is an open-source Python framework for building AI agents and RAG applications, connecting retrieval, models, memory and tools in modular pipelines. Haystack Enterprise Platform adds visual development, evaluation, access controls, observability, and cloud or self-hosted deployment.
Hopsworks is an AI Lakehouse platform that combines a Feature Store, an MLOps platform for experiment tracking, model registry and deployment pipelines, and GPU and compute management. It works directly with Delta, Iceberg and Hudi tables and can run as a managed service, on Kubernetes, on-premises, air-gapped or in hybrid setups. Its Feature Store serves features with sub-millisecond latency using the RonDB key-value store.
IBM watsonx Orchestrate is an agent management platform for building, deploying, orchestrating, managing and governing AI agents wherever they are built or run. It runs as a managed multi-cloud service on IBM Cloud or AWS, or in an on-premises environment, and connects through APIs and open standards such as A2A and MCP. It is sold in Essentials and Premium plans.
watsonx.ai is IBM's studio for building, training, validating, tuning, and deploying AI models, including traditional machine learning and generative AI. It includes Prompt Lab, AutoAI, a model-monitoring function, and notebook-based and visual workflows. It can be deployed on IBM Cloud, on-premises through IBM Cloud Pak for Data, or in hybrid setups.
Iguazio's AI platform automates AI pipelines for machine learning and generative AI applications, covering data management, development, deployment and live operations. It includes AI pipeline orchestration, model monitoring, GPU management, and governance and guardrails. It can be deployed on multi-cloud, on-premises or hybrid environments. Iguazio was acquired by McKinsey & Company in January 2023 and sits within QuantumBlack.
Intercom is a customer service platform combining a helpdesk with Fin, an AI agent for customer support. The helpdesk includes an omnichannel inbox, ticketing, a help center, proactive in-app messaging and Copilot, an AI assistant for human agents. Fin can run inside Intercom or on other helpdesks such as Zendesk, Salesforce and HubSpot, across chat, email, phone and other channels. Pricing combines per-seat fees with a per-outcome charge for Fin.
Project Jupyter is a non-profit open-source project that develops the Jupyter Notebook, JupyterLab, JupyterHub and related tools for interactive computing across programming languages. Its software is released under the modified BSD license and developed openly on GitHub. The Notebook combines live code, equations, narrative text and visualizations in one document, and its notebook format and kernel protocol are open standards. The project does not provide Jupyter as a service, so organizations run it on their own or a service provider's infrastructure.
KNIME is a visual workflow platform for ETL, data analytics, predictive AI and data-aware agent building. Users connect nodes that read, transform, analyze, predict and write data, and run the workflow node by node or all at once. KNIME Business Hub adds deployment, access control, validation and monitoring of data science solutions in the enterprise.
Kore.ai offers an enterprise agentic AI platform for building, governing and optimizing AI agents. Its AI agents and workflows serve customer service, employee productivity and multi-system process automation. The Kore.ai Agent Platform, Artemis edition, includes the Autoloop optimization engine.
KServe is an open-source model inference platform that runs on Kubernetes. Its core is a custom resource, InferenceService, and a controller that creates the underlying Deployments, Knative Services and routing. It offers Knative serverless, RawDeployment and optional ModelMesh modes, with features for serving large language models.
Kubeflow is an open source platform for running machine learning and AI workloads on Kubernetes. It is made of modular subprojects covering pipelines, model training, hyperparameter tuning, notebooks, a model registry and a central dashboard. The core project is free under the Apache 2.0 license and is a CNCF graduated project.
LanceDB is an open-source vector database built on the Lance columnar format and released under the Apache 2.0 license. The open-source edition runs embedded in the application without a long-running database server. LanceDB Cloud offers usage-based serverless hosting, and LanceDB Enterprise adds the Multimodal Lakehouse suite for AI data curation and feature engineering.
LangSmith is an agent engineering platform for building, testing, deploying, monitoring and governing AI agents. It includes tracing, evaluations, a managed deployment service, the Fleet agent builder, the Engine issue-detection agent, sandboxes and an LLM gateway. LangChain also maintains open source frameworks, including LangGraph and Deep Agents, for building agents with any model provider.
Langflow is an open-source, low-code visual builder for agentic and RAG applications. Flows are assembled from components and can be customized in Python, then deployed as an API or on a hosted cloud. Recent releases added audit logs, OpenTelemetry tracing and A2A protocol support.
Langfuse is an open-source platform for tracing, evaluating and improving LLM applications and AI agents. It records hierarchical traces of LLM calls, tool invocations and retrieval steps, and runs LLM-as-a-judge, heuristic or human evaluators on production data and experiments. Teams can use it on Langfuse Cloud or self-host it under the MIT license. ClickHouse acquired Langfuse in January 2026.
LangGraph is a low-level orchestration framework and runtime for building, managing and deploying long-running, stateful agents. Its core capabilities are durable execution, streaming, human-in-the-loop, and persistence. The core library is MIT-licensed and free to use. Deep Agents is an agent harness built on top of LangGraph.
LangSmith is an observability, evaluation, and prompt-engineering platform. Its offering includes observability and evaluation, LangSmith Deployment for running agents, and an agent IDE called LangSmith Studio.
Lindy is an AI teammate that works inside Slack and connects to over 1,500 tools through integrations and MCP. It takes on multi-step work such as investigations, reports, decks, dashboards and CRM updates, and it asks for approval before anything with outside impact. Teams can teach it reusable skills, schedule recurring routines, and have it join meetings and take phone calls.
LlamaIndex sells LlamaParse, a commercial platform that parses complex documents, including tables, charts, images and handwriting, and extracts, splits, classifies and indexes their content for AI applications. It also offers LiteParse, an open-source parser that runs locally on PDFs, Office files and images.
Looker is a business intelligence and embedded analytics platform from Google Cloud. It uses a semantic layer, defined in LookML, to set business metrics once, and dashboards, Gemini-powered conversational analytics and MCP-connected tools all draw on those definitions. Looker Embedded lets developers add analytics and conversational AI to their own applications through APIs and SDKs.
Lyzr is a platform for building, deploying and governing AI agents inside enterprises. Agent Studio and Architect let engineering teams and business users build agents, and Opencontroller gives one inventory, policies, guardrails, approvals and observability across agents built on any framework. Customers can run it in their own VPC, on-prem or air-gapped.
Make is a visual platform for building, running and governing automated workflows and AI agents that connect business apps and AI models. Teams build by prompting, by dragging and dropping on a canvas, or from an AI chat, and can add JavaScript or Python where needed. Make Grid gives one live view of everything running, with role-based access and audit history. Make is part of Celonis.
Marqo is an AI-native product discovery platform for ecommerce retailers, offering search, recommendations and merchandising. It trains a dedicated AI model on each retailer's product catalog and shopper behavior through its MarqTune service. It deploys via API or one-click integrations with Shopify, Adobe Commerce and Salesforce Commerce Cloud.
Mastra is an open-source TypeScript framework for building AI agents and apps. It provides agents, workflows, memory, tools, MCP support and observability, with Mastra Studio for building and testing agents. The framework is licensed under Apache 2.0 and can be self-hosted or run on Mastra Cloud.
Metaflow is an open-source Python framework for building and managing ML, AI, and data science projects. Teams write flows in plain Python, develop and test them locally, and scale steps to cloud GPUs, multiple cores, and large memory. Flows can be deployed to production with a single command and triggered by events.
Microsoft Agent 365 is a Microsoft 365 service that gives organizations a central control plane to discover, manage, govern and secure AI agents, including third-party agents. It offers Registry, Access Control, Visualization, Interoperability and Security capabilities, with a registry in the Microsoft 365 admin center and integration with Microsoft Defender, Entra and Purview. It became generally available on May 1, 2026, at $15 per user per month or within Microsoft 365 E7.
Microsoft Agent Framework is an open-source SDK and runtime for building and orchestrating AI agents and multi-agent workflows. It supports .NET (C#) and Python, and a Go SDK is listed separately. It merges Semantic Kernel and AutoGen, which it succeeds, and includes orchestration patterns such as sequential, concurrent, handoff, group chat, and Magentic-One.
AutoGen is an open-source programming framework from Microsoft Research for building AI agents and coordinating multiple agents. It is a Python-based library with AgentChat and Core APIs, and it supports C# and Python. According to its GitHub repository, the project is archived and no longer actively maintained by Microsoft, and new users are directed to Microsoft Agent Framework.
Microsoft Azure is a cloud platform, and this profile covers two of its products. Foundry Agent Service is a managed platform for building and running production AI agents on Azure, and Fabric Data Warehouse is an enterprise-scale relational warehouse built on a data lake foundation. Fabric Data Warehouse stores its data in Delta tables on OneLake, which is built on Azure Data Lake Storage Gen2. Azure is a product line of Microsoft, headquartered in Redmond, Washington.
Azure Machine Learning is a cloud service that accelerates and manages the machine learning project lifecycle. It includes MLOps tools to monitor, retrain and redeploy models, and tracks data assets, job history and registered models. Models can be deployed as batch or online managed endpoints.
Copilot Studio is a low-code platform for building and managing custom AI agents. It is a core component of the Microsoft Power Platform and integrates with Azure AI and Dynamics 365. Agents built in it can be published to Microsoft Teams, SharePoint, and Microsoft 365 Copilot Chat, and it supports multiple models, including Anthropic and GPT-5 family models.
Microsoft Fabric is Microsoft's analytics platform, and its machine learning workloads include Spark notebooks, MLflow experiment tracking, a model registry and AutoML. Batch scoring writes predictions to Delta tables. Real-time inference and heavy GPU training are not its strengths, and Microsoft's architecture guide says it is not a replacement for a dedicated ML platform.
MindStudio is a platform for building, testing, deploying and operating AI-powered applications and AI agents. Users design agents in a visual builder that connects to more than 200 AI models and over 1,000 integrations. The company also sells an AI Media Workbench for image and video generation, an Agent Skills Plugin that gives coding agents typed capabilities, and Remy, a product agent in alpha that builds applications from a spec.