VERITROOPER — Deploy Accuracy Anywhere

Deploy Accuracy Anywhere.

Make any LLM measurably more accurate on any written data. VERITROOPER catches the confident wrong answers, shows your team exactly where and why, and hands them the fixes — every contested verdict cross-vendor verified.

From 1 confirmed error in ~18 to zero. Claude Opus 4.8 — 993 IRS tax-code questions, audited (94.4% → 100%). And the same architecture holds across tax, safety, and medical.

Any Data.<br>Tax, safety, medical — every domain lifted.

Any AI.<br>From a 7B laptop model up to flagship frontier.

Results you can use.<br>Per-question diagnosis + plain-English fixes.

Cross-vendor checked.<br>Every disputed answer checked by another vendor.

EU AI Act evidence.<br>Conformity evidence — one optional toggle.

Hover or tap a point to see how VERITROOPER protects you.

One run per data set — Vanilla-RAG vs. VERITROOPER

Data SetBaseline<br>(Vanilla-RAG)Audited (Model + VERITROOPER)&Delta;<br>US Tax Code (Qwen 2.5 72B)86.76%98.19%+11.43<br>OSHA Safety (Claude Opus 4.8)93.88%99.90%+6.02<br>FDA Drug Labels (Claude Opus 4.8)94.96%100.00%+5.04<br>&ldquo;Baseline&rdquo; = BM25 top-5 vanilla-RAG retrieval, what real deployments do. &ldquo;Audited&rdquo; = the same model measured against the correct source evidence with cross-vendor verification. The &Delta; is the accuracy your model is leaving on the table — each point traced to a specific question and fix. Full per-model breakdown in Results. Every figure reproducible from timestamped logs.

Same 1,000 tax-code questions, seven different LLMs

AI ModelBaseline<br>(Vanilla-RAG)Audited (Model + VERITROOPER)&Delta;<br>Qwen 2.5 72B86.76%98.19%+11.43<br>Qwen 2.5 7B (runs on a laptop)86.58%96.67%+10.09<br>GPT-5.593.04%99.70%+6.66<br>Llama 3.1 70B87.69%97.70%+10.01<br>Gemma 3 27B92.51%98.68%+6.17<br>Gemini 2.5 Pro93.99%99.40%+5.41<br>Claude Opus 4.894.36%100.00%+5.64<br>Every vendor and size class measured identically on the same 1,000 questions. The weaker the model starts, the more recoverable accuracy the audit surfaces — the floor and ceiling are the model&rsquo;s, not VERITROOPER&rsquo;s. The &Delta; is the audit gap, not a serving-uplift claim.

Most tools score. We diagnose.

What you get from…Output<br>Hallucination scorers (HHEM, Lynx)A flag: this answer is suspect<br>RAG metric libraries (Ragas, Tonic Validate)A number: faithfulness, relevance<br>Eval platforms (LangSmith, Braintrust, HELM)A leaderboard or trace dump<br>VERITROOPER Per-question verdict + failure category + evidence + plain-English fix list<br>Specialist Doctors categorize the failures. The Reporter writes the after-action you can hand to an engineer.

Three-vendor rotation — cross-paired, never self-judged

Subject under testPrimary verifierTiebreaker (3rd vendor)<br>Claude Opus 4.8GPT-5.5Gemini 2.5 Pro<br>GPT-5.5Gemini 2.5 ProClaude Opus 4.8<br>Gemini 2.5 ProClaude Opus 4.8GPT-5.5<br>Rotation is enforced in code — no model ever grades its own vendor&rsquo;s output. The third-vendor tiebreaker fires only on low-confidence disagreement — a small fraction of disputed cases.

One toggle — the EU AI Act evidence the conformity file requires

EU AI Act requirementWhat VERITROOPER generates<br>Accuracy & robustness (Art. 15)Declared accuracy / robustness test report<br>Technical documentation (Annex IV &sect;2(g))Drop-in testing & validation record<br>Post-market monitoring (Art. 72)Recurring re-audit & accuracy-drift report<br>Human oversight (Art. 14)Dated, signed human-review audit trail<br>Data gaps & representativeness (Art. 10)Per-category performance-gap diagnostic<br>VERITROOPER produces the conformity evidence — it does not replace the provider&rsquo;s conformity assessment or confer compliance. Off by default; one toggle at run start.

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&rsquo;t a claim — it&rsquo;s the mechanism.

Don&rsquo;t take our word for it.

See the VERI in VERITROOPER &rarr;

Four domains. One result.

We didn&rsquo;t measure this once and call it proof. VERITROOPER has been run end-to-end across four unrelated regulated worlds — U.S. tax code, OSHA workplace-safety regulation, FDA drug labeling, and SEC 10-K financial filings — each the same 1,000-question audit, the same seven models (a 7B on a gaming GPU up to flagship frontier), the same cross-vendor verification. One domain could be luck; four behaving the same way is a pattern. And the numbers are your model&rsquo;s — VERITROOPER carries no score of its own, it inherits the model&rsquo;s floor and ceiling. Frontier models land near-perfect on all three; the weaker the model, the more accuracy the audit recovers. Llama 3.1 70B&rsquo;s honest 77.84 on OSHA is the proof, not an outlier — a real...