Products ship changes daily. AI agents have no idea.
AI agents are becoming the primary interface between products and people. But they give wrong answers — wrong prices, missing features, fabricated claims. Toneeto exists to fix that.
Every wrong answer costs someone money.
A CRM startup raised prices from $29 to $39 three weeks ago. Five major AI agents still cite $29. Prospects sign up expecting one price and see another. The VP of Sales estimates 15-20% of inbound conversion is lost.
A solo developer shipped Google Calendar sync and raised her price from $5 to $8. An agent tells users it's “$5, free with ads.” It has never had ads.She finds out from an angry Reddit thread.
A payments API deprecated an endpoint. Coding agents still generate code for it. 30% of support tickets are now caused by AI writing broken code.
Every line of code we write makes one of these problems smaller.
How we're different
Our principles
Source or Silence
Every claim cites at least one source. No source means the claim is dropped — never published. We accept incomplete profiles over any hallucinated data.
Freshness Over Completeness
3 verified recent claims beat 20 stale claims. Toneeto is about what's new and what changed — not an encyclopedia.
Evidence-First
Raw evidence is stored separately and immutably. Claims are derived from evidence and can be re-derived as assembly logic improves.
Append-Only
Change Objects are versioned. New versions supersede old ones. Nothing is ever silently deleted or overwritten.
Provenance Transparency
Every claim is labeled: publisher-stated, observed, enrichment-derived, or model knowledge. Consuming agents see exactly what was verified vs. inferred.
The company
Toneeto, PBC is a Delaware Public Benefit Corporation based in Mountain View, CA. Our public benefit purpose is to improve the accuracy of product information available to AI systems, reducing misinformation that costs businesses and consumers real money.
As a PBC, we are legally committed to balancing shareholder value with our mission to build trustworthy data infrastructure for AI agents.