Enterprise AI Tools Directory

Amazon SageMaker builds, trains, and deploys machine learning models in the cloud for data scientists and ML engineers.

Auquan automates financial research and risk analysis for institutional investors using AI agents that process unstructured data at scale.

Baseten lets developers deploy and serve ML models in production with APIs, autoscaling, and monitoring infrastructure.

Cognee builds memory infrastructure for AI applications using knowledge graphs and reasoning, enabling persistent context and knowledge retention across LLM interactions.

Cognizant's multi-agent AI platform orchestrates scalable agent networks to deliver adaptive operations and personalized experiences for enterprises undergoing AI-driven transformation.

Dataiku provides a collaborative workspace where data teams build, deploy, and monitor machine learning models and analytics pipelines.

Elastic provides search, analytics, and observability tools that help enterprises find data, monitor systems, and detect security threats across their infrastructure.

Encord automates data labeling and manages unstructured datasets to accelerate AI model training for machine learning teams.

Fiddler AI provides enterprise teams with unified observability for ML and LLM systems to monitor performance, interpret decisions, and enforce trust.

Galileo provides AI teams with end‑to‑end evaluation, observability, and real‑time guardrails to build and monitor trustworthy LLM‑based apps and agents.

Hive offers managed, AI-powered content moderation and data labeling, combining proprietary models with a human-in-the-loop workforce to deliver accurate, scalable results for trust & safety and ad tech.

Labelbox automates data labeling and model evaluation workflows to help AI teams build, test, and deploy machine learning models faster.

Martian routes prompts to the best-performing LLMs across providers through a unified API, optimizing cost, performance, and compliance with minimal code changes.

MindsDB connects any AI model directly to enterprise data sources, including databases and applications, allowing developers to build predictive features without the complexity of moving data or managing separate ML pipelines.

Omni by Airtable lets teams build AI-powered internal apps by asking plain-language prompts, enabling faster workflows across enterprise data.

Perplexity Enterprise Pro provides businesses with a secure AI search engine that answers questions using real-time web data and internal documents.

Pinecone provides a managed vector database that stores and retrieves AI embeddings to power semantic search, recommendations, and RAG applications.

Snorkel AI provides enterprise-grade tools for creating, curating, and evaluating high-quality AI training data at scale.

VAST Data provides a unified data platform that powers large-scale AI systems with fast, real-time data access and orchestration for enterprise AI workloads.

Vertex AI is Google’s unified machine learning platform for building, training, deploying, and managing custom AI models with AutoML and pre-built APIs.

Vespa AI powers real-time, large-scale search and recommendation systems by combining AI-driven and keyword-based search techniques.