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Service / AI / 06
From copilots and agents to deep ML systems, we engineer AI that lands inside real workflows. Evaluation, guardrails and cost-per-decision are first-class concerns, not afterthoughts.
01 — Service Overview
Most AI projects don't fail in the model—they fail in the production system around it. Evaluation harnesses, guardrails, observability, retrieval quality and unit economics decide whether AI ships or stalls.
Our practice spans applied ML, LLM apps, agents and foundation-model engineering. Every program is built with eval-driven development, responsible-AI review and a clear cost-per-decision target.
63%
Median workflow automation lift on shipped agents
<$0.04
Median cost per decision on production agents
100%
Of programs ship with an eval harness
02 — Challenges We Solve
Demos look magical, but production is held back by reliability, latency, cost and integration debt.
No evals, no policies, no monitoring. AI ships, then quietly hallucinates into the P&L.
RAG systems fail because the data foundation, chunking and ranking weren't engineered.
Token costs, GPU hours and human-in-loop overhead silently break the business case.
03 — What We Deliver
Tangible deliverables, not motherhood statements. Pick the ones that matter, ignore the rest.
Domain-tuned copilots embedded inside workflows that actually move SLAs.
Multi-step, tool-using agents with guardrails, evals and human-in-loop where it matters.
Engineered chunking, ranking, eval and refresh pipelines on your real data.
Forecasting, vision, NLP and recommendation systems shipped into production.
Eval harnesses, online/offline metrics, drift detection and incident response.
Red-teaming, policy, audit trails and governance aligned to your industry's rules.
04 — How We Work
01
Senior partners lead a focused discovery sprint to anchor the work in your value case.
02
A target architecture pressure-tested against your data, regulators and operating model.
03
Lean senior squads ship to production in short, instrumented increments tied to outcomes.
04
We run alongside your team, then hand over a self-sufficient internal capability.
05 — Use Cases
Healthcare Copilot
Domain-tuned, retrieval-grounded copilot with eval-driven development and a strict guardrail policy.
41%
Admin time saved
+12 NPS
Patient experience
12k
Daily clinicians
06 — Tooling we ship with
Models
App stack
Eval & ops
Data
07 — Why partner with us
No pitch teams, no graduates running production. The people you meet are the people who deliver.
We close the gap between the boardroom recommendation and the system in production.
We put a meaningful share of fees at risk against the value case we sign together.
Our success criteria includes leaving a self-sufficient internal team behind.
08 — Keep exploring
