We Don’t Compete With LLMs. We Complete Them

Bill Kelly and I have known each other for over 20 years. Across countless conversations about software, usability, and the mechanics of getting things right, one thing eluded us: the right project to build together.

Bill started playing with ChatGPT, Claude, and Gemini to write documents. Because old habits die hard*, I kept asking math problems. Every time a new model shipped, I’d ask it a series of math questions, and every time it would get them wrong.

With Bill, I dug in to understand how LLMs worked and realized they aren’t designed to do math correctly.

What do I mean by correct? It’s not enough to just return a result. It has to be precise, auditable, and repeatable. It has to be unit-aware. It has to respect data types.

In short, the same inputs must produce the same outputs. That’s determinism.

LLMs, however, are probabilistic. They generate unique responses, and if you ask the same question multiple times, you’ll often get different results. That’s not a bug. In most contexts, that’s a feature. 

But that’s not a feature for mathematics. For math, we need the same inputs to cause the same outputs. We need to show our work.

For developers building AI-powered products in high-trust industries, this creates a problem. You can’t hand a regulator a probability distribution. You need certainty.

TrueMath is infrastructure for trustworthy math. We’re not trying to replace LLMs. We’re giving them a computational backbone they can rely on.

Think of it like Stripe for calculations: 

– Clean APIs

– Fast integration

– Fully deterministic logic

– Model-agnostic

Works with OpenAI, Claude, Gemini: doesn’t matter. When your LLM needs to do math, it hands it off to TrueMath and gets back an answer you can trust, along with a complete audit trail. Fast.

Developers don’t need another LLM wrapper. They need a foundation for math they can count on.

If you’re building AI products, agent frameworks, or domain-specific tools for fintech, proptech, insurtech, or any compliance-driven workflow, we’d love to hear what you’re building.

This problem isn’t theoretical. It’s already costing teams time, trust, and traction. We think we can help.

Reach out: elia.freedman@truemath.ai
Learn more: truemath.ai
Sign up for early access: https://app.truemath.ai/signup 

* I’ve been building PowerOne calculator, currently available for iOS, iPadOS, macOS, and web, for nearly 30 years.