Production-grade apps built on frontier LLMs — copilots, assistants, and content engines that are grounded in your data, measured for quality, and safe to ship.
Book a discovery call
Your team spends hours on repetitive writing, summarizing, or lookup work an assistant could draft in seconds.
Valuable knowledge is trapped in docs, tickets, and systems people can't search fast enough.
Off-the-shelf chatbots hallucinate or ignore your business rules — you need answers grounded in your data.
You want to move past demos to something reliable, measurable, and safe enough for customers.
Discovery & use-case shortlist (with ROI estimate)
Working prototype on your real data
Eval suite + quality report
Production app with guardrails & monitoring
Prompt/RAG playbook + handover docs
Cost & latency dashboard
1 week: pick the highest-ROI use case, define success metrics.
1–2 weeks: grounded answers and a first eval pass.
2–3 weeks: guardrails, eval suite, and security review.
Ongoing: rollout, dashboards, and iteration on quality and cost.
We ground answers in your data with citations, add eval suites and guardrails, and keep humans in the loop for high-stakes actions — so you ship with a measured quality bar, not a guess.
Vendor-neutral. We route per task — frontier models (e.g., Claude, GPT) for hard reasoning, and smaller or open models you can self-host for cost and privacy.
Your data stays yours. We use providers and configurations that don’t train on your data, support self-hosting where needed, and handle PII with care.
Caching, model routing, and token budgets — with a latency/cost dashboard so spend stays predictable as you scale.
You do. Your prompts, pipelines, evals, and data — you own the IP.
Book a discovery call and we'll pick one high-ROI use case and map a prototype.
