Deploy Accuracy Anywhere

Your AI Never Tells You When It’s Wrong.

There’s no crash and no error code. It just sounds certain about something that isn’t true.

Soon, when a regulator asks you to prove your AI is accurate, “we’re pretty sure” won’t cut it. The EU AI Act already demands the proof, and more laws are close behind. Veritrooper Scout produces it — your AI audited on your own data, every error and the fix, and audit-ready conformity evidence.

Request a guided pilot → Run Scout free on your data See the numbers

Why now.

This isn’t hypothetical. The EU AI Act’s high-risk rules — accuracy and robustness (Article 15), technical documentation (Annex IV), and post-market monitoring — are phasing in now, and comparable accuracy-and-evidence duties are advancing across the U.S. and beyond. If your AI drives a real decision, it’s in scope. Scout produces the evidence those rules require, on your own data — so you’re ready before the audit, not scrambling after the finding.

Reproducible audits on real regulatory material — baseline accuracy vs. what Scout recovers, scored by an independent cross-vendor standard. Run it on your own data.

96.10%SEC 10-K · GPT-5.5
from 82.60%

99.20%IRS tax code · Opus 4.8
from 93.01%

98.40%OSHA regs · Gemma 3 27B
from 89.50%

96.81%FDA labels · Gemini 2.5 Pro
from 90.92%

Patent-pending Deterministic & reproducible Cross-vendor verified Signed & independently verifiable Runs on your own data

See all the numbers & download the run records →

How Scout works.

Point it at your documents. It does the rest — and the model under test never gets the final say on its own answers.

STEP 1

Point it at your documents

Scout generates a question set from your own material with verified ground truth — then runs it against any model, from a 7B on a gaming GPU up to a frontier API, or an assistant you’ve already deployed.

STEP 2

It scores every answer

Clear-cut answers are settled by deterministic ground-truth checks. Contested verdicts go to an independent verifier from a different vendor — the model under test never grades its own work.

STEP 3

You get the evidence package

Not just a score — a complete, sealed package. Role-specific documents (executive, engineering, risk, regulatory), a machine-readable record, every wrong answer with its source evidence, a plain-English fix list, and a cryptographically signed, independently verifiable seal your auditors can check for themselves.

What you actually get.

Not a dashboard and not a single number — a complete, portable, sealed evidence package. Every audit produces:

A document for every reader

One run, many audiences: an executive summary, an engineering report, a risk/procurement system card, and an EU AI Act Annex IV testing record — plus a machine-readable bundle that drops straight into your governance or observability tooling.

A fix list, not just findings

Failures are clustered into patterns, each turned into a concrete recommendation your team can act on the same day — what to re-chunk, re-ground, prompt, guardrail, or fine-tune. It doubles as a labeled fine-tuning set.

A number you can defend

The headline accuracy comes with a confidence interval, a significance test on what the audit recovered, and a clear PASS / CONDITIONAL / FAIL disposition against a standard you set — not a naked percentage.

Signed & independently verifiable

The package is sealed with a cryptographic signature and a trusted timestamp, and a named reviewer’s sign-off is bound to the results hash. A double-click verifier confirms nothing was altered — no VERITROOPER software required.

How the number stays honest → Watch a live audit →

Who it’s for.

From one hard question to a Fortune 500 under regulatory scrutiny — anywhere an AI’s answer has to be right, and provable to an auditor.

Financial services & banking

AI answering on filings, disclosures, and customer money — where a wrong number is a regulatory finding. Hand model-risk and compliance teams the accuracy evidence, on your own data.

Healthcare & life sciences

Clinical guidance, drug labeling, patient records. When an AI’s answer touches care or a submission, prove it’s right — with an audit-ready record, not a hunch.

Manufacturing & automotive

Warranty, safety, service, and ops documentation feeding AI across the enterprise. Catch the wrong answer before it reaches a plant floor, a dealer, or a recall.

Big tech & AI platforms

Shipping AI at scale — or building the models yourself. A model judge alone can’t be the authority on a number you have to defend. Scout settles the clear-cut answers deterministically, sends only the contested ones to a different vendor’s model, and lets nothing grade its own vendor — on your own data, with every number reproducible.

Compliance, risk & legal

Deploying AI into high-risk decisions under the EU AI Act or a sector regulator? Scout produces the accuracy and documentation evidence (Article 15, Annex IV) your auditors and procurement will demand.

Students, researchers & independent professionals

A thesis, a term paper, a tax question, a case file. You asked an AI something that mattered and got back an answer that sounded certain. Point Scout at your own sources and find out which parts actually hold up.

Whichever one you are, the free trial runs the same engine on your own sources — same “check it, don’t trust it” result.

“Why shouldn’t I just build this myself? I’ve got a development team.”

It’s the first question every serious technical buyer asks — and it deserves a straight answer, including the part most vendors won’t say out loud. Anyone can wire one AI to grade another; the hard part is a number that still holds up when a regulator, an auditor, or your own board pushes on it. That’s the part we’ve filed a patent on.

See the honest answer →

Integrity, Honesty & Transparency — by Design.

A result is only worth as much as the process behind it. Every step that produces one is built to be defensible — to your auditors, your buyers, and your own engineers: independent cross-vendor verification, scoring that rounds against us, built-in hallucination traps, every failure shown in full, tamper-evident sign-off. Integrity here isn’t a claim — it’s the mechanism.

See the VERI in VERITROOPER → Read the full methodology →

Don’t take our word for it.

Run Scout on your own data. Free.

Point it at your own AI and your own documents and see exactly what it finds. No customer logos to trust — just your own result, on data you already know.

Try Scout Free →

One engine. Three points in the life of an AI.

Accuracy doesn’t fail in one place, so it can’t be checked in one place. Each tool audits a different link in the same chain — run one, or all three.

Before you build

SitRep

Is the data sound?

Audits your documents and records themselves — the duplicates, contradictions and stale versions your AI would otherwise repeat with confidence.

Before you ship

Scout

Is the AI right about it?

Audits any model on your own data — every error, why it happened, and the fix, with audit-ready evidence you keep.

After you ship

Watchtower

Is it still right?

Monitors a deployed assistant’s real traffic and catches the answers that go wrong in production, where no pre-launch test can reach.

One accuracy engine, three jobs — all three are here now. Get in touch →

Get in touch.

For enterprise pilots, technical evaluation, partnerships, and licensing.

contact@veritrooper.com

Enterprise pilots: the best way to see what Scout finds is to point it at your own AI. Scout ships as a self-contained app — it runs on your hardware, inside your network, against your model and your data; nothing has to leave your environment. You approve the question set; Scout returns the full sealed evidence package: every wrong answer with its source evidence, a per-category accuracy breakdown, the failure-recovery rate, a concrete plain-English fix list, and a signed, independently verifiable record — plus optional EU AI Act conformity evidence in one toggle.

Request a guided pilot → or run the free trial yourself →

The company: VERITROOPER is a registered Delaware LLC in good standing that owns the patent application and the codebase outright, with clean, assigned title. More about the company →

Public results, sample run records, and the methodology need no NDA. Raw logs, the full dataset, and the patent package are shared under NDA. Live walkthroughs by request.

Download Technical Proof Packet (PDF) →