AI that ships behind your login.
We build production AI — LLM apps, RAG, agents, voice and vision — grounded in your data and wrapped in the observability, evals and compliance that real products demand.
Six shapes of production AI.
LLM-native apps
Product surfaces built from the ground up around LLMs — chat, co-pilot, structured generation — with streaming, tool-calling and graceful degradation.
RAG over your data
Retrieval-augmented generation grounded in your internal corpus — vector search, hybrid retrieval, chunking strategies that preserve meaning.
Agentic workflows
Tool-using agents that execute multi-step work reliably — with deterministic evals, retries, budgets and full trace observability.
Voice agents
Real-time voice applications — inbound and outbound — with low-latency turn-taking, barge-in and function-calling.
Vision & multimodal
OCR, document understanding, moderation and product tagging pipelines — with a POV on cost per frame, not just accuracy.
Evals & observability
We treat LLM apps like any other production system — offline evals, online evals, regression suites, tracing and token budgets.
