We build the retrieval, agents, evaluation harnesses, and observability your team needs to run AI in production — then hand over the system and the tests, so it keeps working without us.
Most AI shops arrive with a solution looking for a problem. We do the opposite — learn how your business actually runs, then find where AI earns its place.
We start with your strategy, your goals, and what actually matters to you — not with the assumption that AI is the answer.
We map your real problems and the workflows behind them — the AI-shaped ones and the ones that aren't — so nothing important gets missed.
You get a holistic plan: where AI pays off, where it doesn't, and how the pieces fit together — as deeply integrated into your strategy as you want us to be.
We stand up the system and slot it into how your team already works — so it helps people do their jobs, instead of becoming another tool they avoid.
We watch it in production and keep improving it — activating more of your proprietary data over time, so it gets better the longer it runs.
A look at what we've actually built — the architecture, not the logo wall. Here's one, end to end.
Reads an incoming bid PDF, matches every line to the contractor's own cost codes, and prices it from decades of their historical bids. An enum-locked matcher can't invent a code and abstains when unsure — every line lands in a human review doc, nothing is silently dropped.
Turns “restock my usuals” into a finished cart — resolves items against real purchase history, drives a live browser to build the order across the right stores, and verifies the cart after every action. Hands back a one-click-from-done checkout; a human always places the order.
Captures the full purchase-and-booking funnel first-party and mirrors conversions to ad platforms server-side — so attribution survives cookie loss and ad-blockers. One event, deduplicated across browser and server, with order persistence that never breaks when a tracker fails.
Synthetic checks watch the live site every few minutes. On a bad deploy it automatically rolls back to the last good version and reports what broke and that it's fixed — otherwise it escalates with the exact ask. Guardrailed to act once, safely.
JSON-configured experiments swap landing pages at the edge with zero flicker and fan a single ad URL across variants. Assignment is deterministic and measured on first-party data — and fails open to the control page if anything ever goes wrong.
An unattended pipeline pulls every recorded meeting, structures it into transcript, summary, action items and participants, and upserts it into a queryable database — idempotent and self-reconciling, so re-runs never duplicate and old records upgrade in place.
Client-identifying details are anonymized. Every system above is real — running in production or in active build.
Wherever AI moves the needle in your business, we build it end to end — and leave it running.
Embed AI into your production software — agents, retrieval, tool use — with the evaluation and observability that keep it reliable after launch, not just in the demo.
Turn scattered documents, transcripts, and expert sessions into a searchable system your team can actually query — before that knowledge walks out the door.
Remove the boring middle. We build the integrations, internal tools, and automated workflows that quietly run the parts of your operation people shouldn't be doing by hand.
Marketing automation and direct-to-consumer funnel optimization — the lifecycle, segmentation, and conversion machinery that turns traffic into revenue, instrumented end to end.
When the software itself is a commodity, three things decide whether an AI system creates real, lasting value — and they're where we spend our effort.
The best model is worthless if your team won't touch it. We build systems that fit your existing processes and help people do their jobs — so they get adopted, not avoided.
AI that gets better the longer it runs. We continuously activate your proprietary data — the one advantage competitors can't copy — so your edge compounds instead of commoditizing.
Resilient, observable, and yours. We hand over the system and the tests, engineered to keep working in production long after we're gone.
That's the problem we're built for. We close the gap with engineering rigor — not optimism.
We build the evaluation harness first — quality is measured, not hoped for.
Logging, monitoring, and alerts from day one. You see it working — or breaking.
Code, infra, docs, and the eval suite are yours. It keeps running without us.
Security and compliance (SOC 2, etc.) engineered in when the engagement needs it.
Sources: RAND (RRA2680-1) · IDC/Lenovo CIO Playbook · S&P Global VotE: AI & ML · MIT NANDA — 2024–2025.
Senior enough to scope it, hands-on enough to build it. The people who scope your work are the people who build it.
Georgia Tech engineer and former Capital One PM. Three-time founder. Builds Koi Labs systems end to end — spec to production.
Ex-SunTrust banker who spent seven years shipping IoT infrastructure at Cox to two million homes. Leads client engagements and the deal side — early conversations to shipped product.
Tell us the goal. If it's a fit, we'll set up a scoping call and turn it into a fixed-scope plan within a week.