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AI software & agents
Production AI, not another proof of concept.
We build agents, retrieval systems, and AI features that ship. That means real integrations with your stack, evaluation suites that catch regressions, and guardrails that keep behavior predictable once live traffic hits.
agent · run #4f2a
plan → resolve customer intent
search_docs("refund window")
retrieve · 4 chunks · score 0.92
guardrail · grounded ✓
answer drafted · cited 2 sources
passed evalslatency 1.2s · $0.004
What is included
01
Autonomous agents and tool-use workflows
02
RAG and retrieval over your own data
03
LLM features wired into existing products
04
Evaluation suites, tracing, and guardrails
05
Model and prompt cost and latency tuning
The result
AI that behaves the same in production as in the demo
A system your engineers can extend
Clear metrics on quality, cost, and latency
Best fit
Teams moving an AI prototype toward launch
Products that need an agent or copilot built right
Companies with data but no in-house ML team
Next step