Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
LLMs can't handle math infrastructure and that is a structural failure, not just a bug.
They approximate answers, drift under pressure, and hallucinate numbers. They forget assumptions. They can't recalculate when variables change. They offer no traceability, no audit logs, and no logic version control. You wouldn't trust a spreadsheet that changed answers every time you opened it and yet that's how AI handles math today.
Show the rest of the publisher’s description (13 more lines)
So teams are left with three costly workarounds:
- Hope the math is good enough
- Delay product features that customers expect
- Build brittle, in-house math engines they must endlessly validate, version, and maintain
TrueMath removes all three roadblocks. We are a deterministic, auditable, stateful execution layer built specifically for AI. We take natural language from LLMs, interpret structure, and execute precise calculations against a proven graph engine returning not just a number, but a full audit trail: inputs, defaults, assumptions, logic path, and version history.
This enables enterprise grade AI workflows where precision is non-negotiable: financial forecasting, pricing models, property valuation, scenario planning, regulatory reporting, engineering design, and beyond.
TrueMath doesn't compete with LLMs. It completes them.
- LLMs explain the "what"
- We guarantee the "how"
- And together, they produce outputs you can trust at scale.
We're not a feature. We're infrastructure like Stripe for payments or Cursor for development. We embed at the core of intelligent systems and convert their greatest liability, unreliable math, into a repeatable, scalable strength.
And as AI gets smarter, the math behind it gets riskier. The only way to scale reasoning is to anchor it to execution you can prove.
That's TrueMath
Highlights
Highlighted by the publisher on AWS Marketplace.
Deterministic, auditable results with full lineage
Pre-built calculation domains for finance, real estate, investment banking, construction, and more
30 years of real-world calculation experience. 30 million users
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Plans and pricing as listed
6 listed- Requests
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Refund terms
As stated by the publisher on AWS Marketplace.
This is a contract and/or pay as you go service. You will be billed per your contract and usage.
Sources
Publisher resources
2 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

