Ai Viral
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TrueMath
FreemiumAPI
AI drafts the memo, builds the deck, and writes the email — then you paste in a number from a spreadsheet and hope it survived three hand-offs without drifting. TrueMath is built for the moment after the AI does its job, when the math has to be exact and someone has to sign their name to it.
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Screenshots 5
Pricing
- Free Tier
- Library always has a free tier; Assistant paid after beta
Summary
TrueMath accepts calculations described in plain language — no formula syntax, no cell references — and returns a deterministic result with full step-by-step lineage showing every variable and assumption. The vendor states it targets financial advisors, CRE analysts, M&A teams, construction estimators, and cloud architects who need numbers they can share with a client or counterparty and stand behind. The shared-math angle is real: one calculation, one method, one set of assumptions that everyone in the room sees. The ceiling appears when the calculation domain you work in falls outside the pre-built professional templates — at that point you are describing novel logic to a system with no fallback to a spreadsheet you already trust. API access exists for developers embedding calculations in their own products, but self-hosting is not an option.
Bottom line: Bet on this when a financial advisor or CRE analyst needs an auditable, shareable result they can send to a client without re-explaining the method; look elsewhere when the calculation logic is bespoke enough that none of the pre-built domains apply and you need a scratchpad that handles arbitrary branching.
Find your fit
Before you choose TrueMath
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Pros
- Deterministic output on identical inputs, which means a calculation shared on Monday returns the same answer when a counterparty checks it on Friday — no version drift, no 'which spreadsheet is current' conversation.
- Full step-by-step audit trail on every result, so a financial advisor can send a retirement projection to a client and the client can follow the logic without a follow-up call to explain the assumptions.
- Plain-language input with no formula syntax required, which means an M&A analyst can quote a Modified Lehman fee mid-conversation without context-switching to a spreadsheet and back.
- Pre-built calculation domains across ten professional verticals, so a CRE acquisitions analyst or construction estimator has working templates from day one rather than building from scratch.
- API access for developers, so teams can embed auditable, deterministic calculations inside client-facing tools or internal workflows without rebuilding the math layer themselves.
Cons
- Calculations outside the pre-built professional domains require describing novel logic in natural language prompts — there is no formula editor or cell-reference fallback, so a bespoke fee waterfall with unusual carve-outs becomes progressively harder to verify and version as complexity grows. Teams with heavily customized deal structures typically revert to a spreadsheet for the non-standard pieces, which defeats the single-source-of-truth goal.
- Self-hosting is not available, which means any organization with strict data-residency requirements or a policy against sending deal economics to a third-party API cannot use the tool at all — those teams stay on Excel or build a private calculation service.
- The Assistant, which is the interactive calculation interface rather than the static Library, is paid-only post-beta — teams evaluating the tool on the free tier are not testing the full product, and the gap between what the free Library exposes and what the paid Assistant delivers is not spelled out in detail on the vendor page.
About
- Platforms
- Web, REST API
- API Available
- Yes
- Self-Hosted
- No
- Last Updated
- August 16, 2026
Best For
Who it's for
- Financial advisors and analysts
- Real estate and CRE professionals
- Investment banking and private capital teams
- Developers integrating precise calculations via API
What it does well
- Retirement scenario projections for financial advisors
- CRE deal IRR and cash-on-cash analysis
- Tiered success fee quoting for M&A advisors
- TCO comparisons for cloud vs on-prem infrastructure
- Construction bid breakdowns with markups and contingencies
Integrations
Frequently Asked Questions
- Is TrueMath free?
- TrueMath offers a free option alongside paid upgrades. Check the current allowances and terms before choosing a plan.
- Does TrueMath have an API?
- Yes. TrueMath exposes a developer API. See the official documentation at https://truemath.ai for details.
- What platforms does TrueMath support?
- TrueMath is available on: Web, REST API.
Numbers that drift after hand-offs
After an AI drafts the memo and builds the deck, pasting a number from a spreadsheet often means hoping it survived three hand-offs without drifting. TrueMath accepts calculations described in plain language with no formula syntax or cell references and returns a deterministic result plus full step-by-step lineage for every variable and assumption.
Key features
The vendor states it targets financial advisors, CRE analysts, M&A teams, construction estimators, and cloud architects who need numbers they can share with a client or counterparty and stand behind. One calculation, one method, and one set of assumptions remain visible to everyone. Use cases include retirement scenario projections, CRE deal IRR and cash-on-cash analysis, tiered success fee quoting, TCO comparisons, and construction bid breakdowns.
Deterministic output on identical inputs means a calculation shared on Monday returns the same answer when a counterparty checks it on Friday. Full step-by-step audit trails let a financial advisor send a retirement projection to a client without follow-up calls to explain assumptions. Plain-language input removes the need to context-switch to a spreadsheet.
Calculations outside pre-built professional domains require describing novel logic in natural language prompts, with no formula editor or cell-reference fallback. Self-hosting is not available.
Who it is for / who should skip it
Best for financial advisors and analysts, real estate and CRE professionals, investment banking and private capital teams, developers integrating via API, and teams needing auditable shared math. Skip it if your work involves heavily customized deal structures or strict data-residency rules that rule out sending economics to a third party. Deterministic shared math works when everyone stays inside the supported domains.
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