Yoonefi is a small senior practice for companies past the demo stage. We design, engineer, and operationalise applied AI — and we tell you, plainly, when you don't need it.
30+
across legal, B2B SaaS, healthtech, industrial
9wks
from kickoff to first user on the system
80%
of new work comes from past clients and referrals
100%
no farmed-out delivery, no juniors at the wheel
Most engagements begin with a two-week diagnostic. From there, we either advise (consultancy) or build (agency) — and frequently both, in sequence.
For leadership teams who need an honest second opinion. We audit your data, workflows, and model choices — then return a sequenced roadmap, including the projects we'd kill.
A senior pod ships production AI in your stack — not a prototype, not a slide. We instrument it, evaluate it, and hand it over with the harness, runbook, and on-call playbook.
A principal engineer or strategist embedded in your team — running standups, reviewing PRs, sitting in board meetings. For companies who need an AI org but aren't ready to hire one.
We don't run hackathons. We run a five-phase sequence with explicit exit gates between each — so you can stop, redirect, or scale at any phase without sunk cost.
Replace fuzzy goals with measurable ones. Decide what would justify the project being killed.
Spike the riskiest assumption first — usually retrieval quality or eval signal — in a throwaway notebook.
Production code into your repo, your stack, your CI. We work as your team, not alongside it.
An eval harness that catches regressions before users do — versioned, automated, run on every commit.
Handover with runbooks, dashboards, and an on-call rota. We stay on retainer until you don't need us.
The shape of the work we take on — and how we approach it. Bring us the problem; we'll tell you the honest path to a working system.
Custom retrieval over large document corpora with a human-in-the-loop review surface — designed for high deflection, low latency, and eval coverage on every release.
We design continuous eval pipelines — graded examples across task families, wired into CI with golden-set diffs and human spot-checks — so quality is measured, not hoped for.
When the real problem is tabular forecasting, we'll say so — and build the right classical model instead. We scope to the problem, not the hype, and tell you when to stop.
Yoonefi is partner-led, end-to-end. No staff augmentation, no farmed-out delivery.
If we can't measure it, we don't ship it. Every system leaves our hands with an eval harness attached.
The hard problems are data, retrieval, evaluation, and operations — not which frontier model you picked this week.
Fixed-fee phases with explicit exit gates. We'd rather scope down than scope-creep.
A real consultancy tells you when to stop. We've cancelled our own SOWs.
CI, code review, observability, on-call. Anything else is a research project pretending to be a product.
We'll tell you, plainly, whether AI is the answer. First reply within 24 hours, diagnostic call within the week. No discovery PDFs, no chase emails.