RAG
Retrieval-augmented generation over your private data — grounded, cited answers instead of confident guesses.
Applied AI that earns its place in real operations: grounded retrieval, self-hosted models and agents wired to your tools — with your data staying inside your infrastructure.
Retrieval-augmented generation over your private data — grounded, cited answers instead of confident guesses.
Self-hosted inference with vLLM: open models served on your own GPUs at production throughput.
A single gateway across providers and local models — one API with routing, budgets and fallbacks.
Models that run inside your perimeter, so sensitive data never leaves your infrastructure.
Task-focused agents wired to your tools and APIs, built to run reliably across real workflows.
Model Context Protocol integrations that connect models to your systems through a clean, auditable interface.
Architecture, an audit, a system that needs a rethink — start with a message.
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