One month, fixed fee.
We embed, learn your business, calibrate the judge on your historical data, and hand you the numbers. That alone usually reorders the roadmap. Month one tells you whether this is working.
Judgment as a service
Your AI does the work.
Ours judges it.
For companies delivering AI-plus-human work at scale: we scoreevery outcome against your bar, price every miss, and tell you what to fix first.
The Work
The Judgment
Not the job
Your CSAT scores the feeling.
Not the job
Your evals score the model.
Not the job
Your QA team reads 3% by hand.
Execution got cheap.Judgment is the bottleneck.We productize it.
The Haystack
When AI-delivered work goes wrong at scale, it feels unfixable: a needle in a haystack, multiplied by everything you ship. Eval tools make it worse. They score each output on its own and hand you a longer list of needles, so teams triage by anecdote, fix the loudest complaint, and nothing moves. Every outcome you shipped, scored.
The System
The first honest number usually hurts.
Calibrate to your bar. Run on everything.
Built from your own production exhaust, corrections, accepts, rejects, rework. Nobody labels anything. It scores all of your work, not a sample.
Judgment becomes your roadmap.
Every month: what to fix, ranked by cost, re-measured next cycle. No person in your company can hold this view. It reorders roadmaps the first time it's read.
The judge moves inline and works for a living.
Passes ship. Clear fails go back with instructions. The ambiguous middle goes to a human. And because the judge knows what's hard, it becomes your router.
Our team becomes an extension of yours.
Need extra hands? Founder-level operators plus AI, deployed into your team.
Who it's for
You deliver AI-plus-human work at scale: thousands of outcomes a month.
Humans review, correct, or finish that work.
Somebody outside the building enforces the quality bar.
Your failures have a price, and you could name it if pressed.
We tend to fit teams shipping work in categories like these:
The AI question finally gets an answer with a dollar sign on it.
The result: the conversation ends.
The AI questionA roadmap ranked by cost of failure instead of by loudest anecdote.
The result: you stop triaging by vibes.
Reviewers stop reading everything and start reading what matters.
The result: same bar, a fraction of the labor.
In Practice
Everyone has a theory; nobody has a number. The judge scores every completed task against the customer's actual bar and finds the failure classes driving the cancellations.
QA and, worse, the client are the last line of defense. The judge learns the standard, scores every asset before it ships, and sends fails back with the reason attached.
The judge knows which fields the machine gets right, gates only the doubtful ones to a person, and routes hard documents to the expensive model.
In Practice
Everyone has a theory; nobody has a number. The judge scores every completed task against the customer's actual bar and finds the failure classes driving the cancellations.
QA and, worse, the client are the last line of defense. The judge learns the standard, scores every asset before it ships, and sends fails back with the reason attached.
The judge knows which fields the machine gets right, gates only the doubtful ones to a person, and routes hard documents to the expensive model.
How we work
We embed, learn your business, calibrate the judge on your historical data, and hand you the numbers. That alone usually reorders the roadmap. Month one tells you whether this is working.
We embed, learn your business, calibrate the judge on your historical data, and hand you the numbers. That alone usually reorders the roadmap. Month one tells you whether this is working.
When the prescription calls for a build, we build it. When you’re ready for the judge to gate and route production, it moves inline, priced per outcome, so we make money when the work does.
We will not
Benchmarks are somebody else’s business.
You have a strategy. You need to know if it’s working, and someone who’ll act on the answer.
The judgment layer keeps running after we leave the room.
If your leadership wants a friendly truth, we’re the wrong call. You’ll hear it straight on the first review.
Ready? Book a call.
Book a call