AI systems that do real work, not demos.
From LLM-powered features to autonomous agents wired into your existing tools, we build AI that survives contact with production traffic.
Built around outcomes, not deliverable checklists.
LLM product integration
Chat, search and generation features built on GPT-4, Claude or your own fine-tuned models.
Autonomous agents
Agents that take real actions across your CRM, database and internal tools — not just chat.
RAG & data pipelines
Retrieval systems that ground responses in your actual data, not hallucination.
Evaluation & guardrails
Structured testing so you know what an agent will do before your customers do.
Every agent action, logged and reviewable.
You see exactly what an agent did, why, and what it would have done differently — not a black box you have to trust blindly.
Agents in production
Model accuracy
Avg. response time
How we get an agent to production.
Define Use Case
We scope the exact decisions an agent will make — and the ones it won't.
Prototype with Real Data
Early builds run against your actual data, not toy examples.
Evaluate & Guardrail
Structured testing against edge cases before anything touches production.
Deploy & Monitor
Live monitoring for drift, cost and failure modes after launch.
Every engagement includes this, no exceptions.
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Model selection based on cost, latency and accuracy trade-offs — not hype
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Human-in-the-loop review workflows where it matters
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Monitoring for drift, cost and failure modes after launch
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A fallback plan for every automated decision point
Python
PostgreSQL
Curious what AI could actually do for your workflow?
We'll audit one process for free and tell you honestly whether AI is the right fix.