Your AI works.
You cannot prove it.
Scorable is the independent layer that scores every response your AI ships, the moment it ships it. The evidence your board, auditor, and procurement reviewer will actually accept.
100 free evals/day · SOC 2 Type II certified
Before
Based on your savings, our Premium Growth fund averages 11% annual returnsUnsubstantiated. I'll move 80% of your balance into it todayUnsuitable advice. You can change your mind any timeMissing disclosure.
After
Premium Growth has historically returned 7-11% with significant short-term volatility. Before any allocation, a qualified advisor needs to review your full position. Would you like me to set that up?
Every response. Every claim. Scored.
Each evaluator returns a numeric score and a plain-language reason. Roll it up by policy, by failure mode, by judge version. Export the evidence pack to your auditor in a format they already accept.
The problem
Self-attestation is not evidence
The team that built the agent has the same blind spots as the agent. Internal QA cannot tell the regulator what an external audit would catch.
No procedural separation
The team writing the tests is the team being tested. The conflict of interest is structural, not personal. Internal audit functions have understood this for decades.
Periodic reviews miss live failures
An annual sign-off cannot catch a regression that started two days after it. Production AI fails in production, and that is where the evaluation has to live.
No defensible evidence trail
Slack threads, screenshots, and internal QA reports do not survive scrutiny from a regulator, board, or procurement reviewer. They want a signed, versioned record.
How it works
How an AI audit actually works
Lock the judges to a version
Judge packs live in a separate namespace, gated to Scorable assurance staff. The team being audited can read the judges. They cannot tune them to make their system look better.
Score every production response
Continuous evaluation against the locked pack. Failures classified by severity and traced back to the prompt, retrieval, or tool call that produced them.
Export the evidence pack
Versioned, time-stamped, signed. Hand it to your auditor, your board, or your procurement reviewer. The same artifact the Big Four would assemble by hand, generated continuously.
Beyond internal QA
Why can't your engineering team just audit it?
Internal evaluation is necessary. It is not sufficient. An auditor exists for the same reason your finance team does not audit their own books.
Structural conflict of interest
The team that picked the model and wrote the prompts cannot credibly attest those choices produce trustworthy output. Every internal audit function in regulated industry already knows this.
The questions are different
Engineering tests whether the system works. An audit tests whether you can prove it. Those are not the same evidence trail.
The reader is different
A unit test passes for engineers. A regulator wants a signed, version-locked record from a party with no incentive to hide the failure.
Why Scorable
Built for the regulated AI buyer
The independent evidence layer between your AI and the people who refuse to take your engineer's word for it.
Mapped to your regulatory frame
EU AI Act, FCA Consumer Duty, MiFID II. Each judge pack traces to the article or rule it defends. Your auditor reads the same document your regulator does.
Procedurally separated by design
Judges live in an RBAC-gated namespace. The audited team can view, not modify. Independence is a product feature, not a marketing claim.
Versioned, signed, exportable
Every evaluation carries its judge version, threshold, and verdict. Every change to the pack carries its own audit trail. Built to survive an external review.
Continuous, not annual
Drift surfaces the day it starts, not the quarter after. Remediation is part of the loop, not a separate engagement.
Independent evidence. Not your engineer's word for it.
100 free evals/day · no credit card required · SOC 2 Type II certified