> AI doesn't know when it's wrong. Emet does. Deterministic verification for AI-generated data analysis. _TRUTH INFRASTRUCTURE FOR AI DATA SYSTEMS_ # AI doesn't know when it's wrong. Emet does. Every number, calculation and AI-generated data analysis — confirmed accurate — with proof. **[Book a Demo →](https://emet.so/contact)** _THE EMET ACCURACY REPORT_ ## Every number has a receipt. Emet re-derives every figure from your source data, audits the query behind it and checks every claim against what the data says. The report is the proof. ### Marketing **ACME CORP · Q2 PAID MEDIA · 7 SOURCES · 8 CLAIMS · 3 CORRECTED · SAFE TO REPORT** - **VERIFIED** — Q2 Meta spend totalled $37,084.09 across 64 campaigns. src: meta_ads_api · campaigns.spend · exact match - **CORRECTED** — Q2 ROAS is ~~3.46x~~ 2.43x. > AI queried Jun 16–22 — one week — instead of all of Q2. Re-derived from meta_ads_api · Apr 1 – Jun 30. - **VERIFIED** — Wasted spend was $18,168.83 — 49% of total. = 18,168.83 ÷ 37,084.09 · derived · within 1% tolerance ### Sales **ACME CORP · Q3 PIPELINE REVIEW · 4 SOURCES · 14 CLAIMS · 3 CORRECTED · SAFE TO REPORT** - **VERIFIED** — Qualified pipeline is $3,084,200 across 47 open opportunities. src: salesforce_crm · Σ amount · stage ≠ closed_lost · exact match - **CORRECTED** — Trailing 90-day win rate is ~~38%~~ 31.43%. > AI dropped the 12 no-decision opportunities from the denominator (22 ÷ 58). Re-derived from salesforce_crm · 22 won ÷ 70 qualified dispositioned. - **VERIFIED** — Pipeline velocity is $20,493 per day. = (3,084,200 × 22 ÷ 70) ÷ 47.3 days · derived · within 1% tolerance ### Finance **ARBOR SOFTWARE · Q2 2026 P&L · 4 SOURCES · 9 CLAIMS · 2 CORRECTED · SAFE TO REPORT** - **VERIFIED** — Q2 revenue was $8,241,300 — up 18.0% on Q1. src: netsuite_erp · Σ rev_lines[Q2] · stripe collected 8,189,400 + 51,900 deferred · reconciled - **CORRECTED** — Q2 EBITDA is ~~$2,103,705~~ $1,283,705 — a 15.6% margin. > AI left out the $360K restructuring charge and $460K of misclassified G&A. Re-derived from netsuite_erp · gross profit 5,867,805 − opex 4,584,100. - **VERIFIED** — Gross margin is 71.2%. = 5,867,805 ÷ 8,241,300 · derived · within 1% tolerance - **Numbers** — Re-derived from the source, not compared to another model. 1% tolerance - **Calculations** — Shown as equations you can check by hand. 18,168.83 ÷ 37,084.09 - **Claims** — Every claim gets a verdict and a reason. VERIFIED · CLARIFIED · CORRECTED · FLAGGED [See the full Accuracy Report →](https://emet.so/report/evr-2026-q2-001) _HOW IT WORKS_ ## Verified. Clarified. Corrected. Flagged. Emet reads the trace of what your AI did, re-derives every number in code against your source data and checks every claim against it. One verdict per claim — with the reason. - **VERIFIED** — Emet confirmed every data point and calculation in the claim against your data. - **CLARIFIED** — The claim is right but missing context, like its time window. Emet adds it. - **CORRECTED** — The claim is wrong. Emet corrects it from your data and shows what changed. - **FLAGGED** — Your data can't confirm or correct the claim. Emet flags it rather than guess. _Every verdict ships with its reason. A correction is explained, not asserted._ [See how a run works →](https://emet.so/platform) _ALERTS AND REPORTS_ ## Every catch in Slack. Every report in Emet. Every team member gets a seat. Analyst, manager and exec see the same Accuracy Report, the same verdicts and the same trend line. - **First time, regressed, escalating.** — One alert per issue, not one per report. A fixed defect that comes back posts again. - **The fix is in the card.** — The claim, the AI's number, the re-derived number and the reason — no click required. - **Your data on AI.** — Every verdict is a data point. Pass rate by model, by source, by AI system — the first real measurement of how AI performs on your data. Export it, brief the board with it, publish it. [See the Slack integration →](https://emet.so/integrations/slack) _PROOF_ ## Truth infrastructure for enterprise teams. - **10,000+** — claims verified by Emet on frontier models in live client data environments. - **1 in 5** — AI-generated claims carried an error — an unsupported number, a bad calculation or a statement the data didn't support. Every one looked right. **IN PRODUCTION TODAY · INSIDE FUSE · AT** - **Ziff Davis** 5 brands · 3 teams · marketing, sales, SEO - **Tacony** 13 questions · 5 errors caught [Read the story →](https://emet.so/customers/tacony) > AI will confidently give you numbers in seconds. Emet is the first thing I've seen that confirms whether they're right. > — Bill Macaitis, former CMO, Slack --- ## Stop babysitting AI. Start trusting it. Emet delivers deterministic verification for enterprise AI data analysis — in seconds, with a receipt. **[Book a Demo →](https://emet.so/contact)** [No AI data system yet? FUSE ships with Emet built in →](https://fuse.is) --- Emet · Truth infrastructure for AI data systems · https://emet.so