AI Infrastructure

Open-source vector similarity search engine. Fast and scalable.

Structured output extraction from LLMs

Fast inference for LLMs. Hardware-accelerated AI inference platform.

Open-source vector database. Embeddings database for AI applications.

AI tables platform bringing ML models inside existing databases

ML experiment tracking and model management platform.

Data labeling and AI infrastructure platform

Open-source embeddings and data visualization

AI gateway for routing and observing calls across LLM providers

Programming framework for LLM pipelines (Stanford NLP)

AI testing and evaluation platform. Test LLM applications at scale.

Data and AI platform, creator of MLflow and Dolly

ETL for unstructured data preprocessing

Open-source model inference platform. Fast and cost-effective.

Enterprise AI evaluation and observability

Distributed training framework for large-scale AI models

ML and LLM observability platform for monitoring and evaluation

Computer vision platform for dataset management and model deployment

Vector database for AI applications. Powers semantic search and RAG.

Framework for validating and structuring LLM outputs

Cloud sandboxes for securely executing AI-generated code

Serverless vector database built on Lance columnar format

ML experiment tracking and data versioning with DVC and CML

Data-centric AI platform for training data

Workflow orchestration framework for data and ML pipelines

Tensor-based vector search engine for multimodal AI applications

Framework for evaluating retrieval augmented generation pipelines

Open-source NLP/LLM framework for search and RAG

ML model serving platform with GPU infrastructure for inference

Fast and efficient generative AI inference platform

Deep learning framework and AI development platform

Headless browser infrastructure for AI agents and web automation

Enterprise AI platform for automated machine learning and deployment

Data quality framework for validating and profiling data pipelines

Data orchestration platform for building observable data pipelines

Structured text generation ensuring LLM outputs follow schemas

LLM evaluation framework with the DeepEval testing library

Data quality tools for finding and fixing errors in ML datasets

Open-source toolkit for building computer vision datasets

Open-source ML monitoring and observability framework

Open-source platform for building and deploying ML model services

Open-source machine learning platform for enterprise AI applications

Production-ready LLM serving. Optimized inference for Hugging Face models.

Open-source MLOps platform for experiment tracking and orchestration

Data-centric AI platform for programmatic data labeling and curation

Testing and monitoring framework for ML models and LLM apps

Automated evaluation and testing platform for LLM applications

LLM evaluation and observability platform for AI applications

ML experiment management platform for tracking and comparing models

AI inference platform for deploying models with minimal code

LLM operations platform for prompt management and evaluation

Feature platform for building real-time ML applications

GPU cloud platform for AI inference and training workloads

Collaborative data science and ML platform for enterprise teams

Fine-tuning platform for deploying specialized language models

Synthetic data platform for privacy-safe AI model training

AI chip and systems company building custom silicon for enterprise

GPU cloud platform and on-premise infrastructure for training and serving ML models.

Experiment tracking and model registry for ML teams

Enterprise platform for building specialized RAG agents, founded by the creators of RAG.

Cloud security platform using AI for threat detection and posture management.

AI security platform for model validation and real-time threat protection. Acquired by Cisco 2024.

GPU cloud infrastructure provider specializing in AI and HPC workloads.

TypeScript toolkit for building AI-powered applications

Open-source Python library for building ML demos