4 min
Average end-to-end run for the back-office workflow we built for a carrier — it replaced a three-person team.
AI engineering and automation for your most ambitious work.
The work your team wanted to attempt but couldn't with people alone. Priced per outcome.
Brand statement · The bar we hold ourselves to
OMOCHI helps teams ship ten times faster & attempt the work that wasn't feasible with people alone.
Four rules we hold ourselves to on everything we ship.
- 01
Playful Precision
Warm on calls. Exact in code. Short meetings, plain English, and nothing we ship is code we wouldn't still maintain in six months.
- Plain English
- Short meetings
- Code that ages well
- 02
Tactile Intelligence
Real tools, not demos. Every agent or service we hand over is logged, monitored, and reproducible from a git SHA — no prompt-chains held together with hope.
- Logged decisions
- Reproducible builds
- No prompt-chains
- 03
Outcome Obsession
We bill for what shipped. KPIs before build, off-ramps in every contract, sprints end in production — not in a report.
- KPI before build
- Clear off-ramps
- Code first, slides last
- 04
Experimental Clarity
One working flow beats a deck of nine features that almost exist. We build the narrow thing on real data first, then expand only when it's earning.
- One flow first
- Real data always
- Expand only when earning
Engineering & automation, plus the way we start.
Two services, and the scoping work that precedes each. Every engagement starts with a written scope, a KPI we defend, and an explicit off-ramp.
- 01 — AI Engineering
Ship 10× faster in the stacks you already run.
Senior engineers embedded in your Platform & Data teams. Typical two-week trial, monthly renewal, no retainer.
- Backend & Frontend
- Platform & Data
- Automation & DevOps
- Observability & SRE
- 02 — AI Automation
Put automation in the work your team shouldn't be doing by hand.
Reliable, auditable agents on observable workflows — not prompt-chains. Every decision logged, replayable, version-controlled.
- Workflows & Ops
- Retrieval & Tools
- Evals & Guardrails
- Monitoring & Replay
- 03 — Scoping Session
A clear-eyed read on what the work actually is.
Bring one ambition. We'll walk the data, the risks, and the shape of the work — and tell you whether we should build it, you should build it, or you should table it for now.
- Real data
- Written scope
- Fixed fee
- Referral if we're not the right build
04 — Process
Prototype → Validate → Deploy → Scale.
Every engagement moves through these four stages at a pace typical for the work. Each has a written off-ramp and a shippable artifact.
- ◍ 01 Prototype3–5 days
A working proof against your real data.
- ◆ 02 Validate2 weeks
Paid engagement with measurable KPIs and a written off-ramp.
- ◎ 03 Deploy1–4 weeks
Production code — monitored, logged, version-controlled.
- ↗ 04 ScaleOngoing
Benchmarks, tuning, and a clean handoff when the work is done.
Three numbers from work we shipped to production.
400/400
Loan applications approved without human review in one month at a fintech lender, on agents we built and still monitor.
+$1.2M
Q1 revenue recovered for a B2B operator after we rebuilt a broken email pipeline as an agent.
06 — Start here
Build what couldn't exist yesterday.
Bring one ambition. Leave with a written scope, a defensible KPI, and a direct read on whether we're the right team to build it.