Developer Tools & MLOps

Enterprise AI platform specializing in multilingual embeddings, reranking, and enterprise search.

• Cohere Rerank 3 model for boosting RAG search accuracy
• Embed v3 multilingual vector embedding models
• Deployable on AWS SageMaker, Azure, and private VPCs

Ultra-high-speed AI inference engine powered by custom LPU (Language Processing Unit) hardware.

• Ultra-fast 500+ tokens/second LLM generation speed
• Custom LPU (Language Processing Unit) chip architecture
• OpenAI-compatible REST API for easy drop-in replacement

The central open-source community platform for hosting machine learning models, datasets, and AI apps.

• 500,000+ open-source ML models and datasets
• Hugging Face Spaces for hosting interactive web demos
• Inference Endpoints for managed cloud model deployment

LLM application observability, tracing, evaluation, and prompt engineering platform.

• Full execution chain visual trace logging (spans, inputs, outputs, token costs)
• Automated evaluation suites and LLM-as-a-judge scoring frameworks
• Prompt Playground for testing prompt variations against production traces

Open-source tool for running large language models locally on macOS, Linux, and Windows.

• Simple terminal CLI for model downloading and execution
• Built-in local REST API compatible with OpenAI endpoint format
• Supports Llama 3, DeepSeek-R1, Mistral, Gemma, and Phi

Fully-managed serverless vector database engineered for ultra-low latency RAG search.

• Serverless vector architecture with pay-per-query consumption pricing
• Sub-100 millisecond vector search latency at scale
• Metadata filtering for combining structured database attributes with semantic vectors

High-throughput and memory-efficient open-source LLM serving engine powered by PagedAttention.

• PagedAttention algorithm for optimized KV cache memory management
• OpenAI-compatible API server endpoint
• Supports continuous batching and multi-GPU tensor parallelism

Open-source multi-modal vector database featuring native vectorization and hybrid search.

• Open-source core engine with local Docker/Kubernetes deployment capability
• Hybrid Search engine combining BM25 keyword matching and dense vector search
• Native module integration for automated vectorization (OpenAI, HuggingFace, Cohere)

Developer platform for MLOps, model training tracking, dataset versioning, and LLM evaluation.

• Experiment tracking for PyTorch, TensorFlow, and Hugging Face
• Dataset and model artifact version control
• W&B Prompts for LLM trace evaluation