AI Infrastructure

Managed multi-model AI platform on AWS with enterprise controls and agents.

Google Cloud AI platform for Gemini, Model Garden, and MLOps pipelines.

Leading graph database for knowledge graphs, GraphRAG, and connected data.

Enterprise NLP platform with strong embedding and reranking APIs for RAG.

High-throughput LLM inference engine with PagedAttention.

Ultra-low-latency LLM inference API powered by custom LPU hardware.

AWS managed graph database for property graphs and RDF knowledge graphs.

Unified API gateway to hundreds of models with routing and spend controls.

Self-hosted web interface for local and remote LLMs.

LLM and AI functions inside Snowflake for governed enterprise data apps.

Unified API gateway for 100+ LLM providers with routing and fallbacks.

Specialist embedding and reranking models optimized for retrieval quality.

Managed Ray platform for scaling Python, ML, and LLM workloads.

Open platform for the ML lifecycle — experiments, models, and deployment.

Enterprise knowledge graph platform for data unification, semantics, and GraphRAG.

Open multimodal embeddings and rerankers with self-host and cloud options.

Serverless cloud platform for running ML models and data pipelines.

RDF graph database for semantic knowledge graphs, SPARQL, and linked data.

NVIDIA library for optimized LLM inference on TensorRT.

Open-source LLM gateway for routing, observability, and optimization in Rust.

Cloudflare-managed MCP servers for Workers, R2, KV, and edge infrastructure.

GPU cloud for running AI workloads with serverless and pod options.

Fast structured generation and serving runtime for LLMs.