AI mathematics with validation

Each AI result is delivered with its steps in an automatically generated Mathematica notebook or Maple document that you can audit, reproduce, edit, and share.

What ExaktAI Is About

The unsolved problem is not whether AI can do mathematics. It can. The problem is that an incorrect result can suddenly arrive with the same confidence as a correct one. ExaktAI addresses that gap: trust is assigned to an AI mathematical result whose steps were computationally validated, and you can reproduce the validation, not blindly accept it.

The ExaktAI App

ExaktAI App: the ladder problem solved by Claude with a Mathematica notebook generated and opened automatically
Claude + Mathematica: the ladder problem solved and validated step by step. Notebook generated, executed, and opened automatically.
ExaktAI App: the ladder problem solved by Gemini with a Maple document generated and opened automatically
Gemini + Maple: the same problem, independently validated. Maple document generated, executed, and opened automatically.

The goal of ExaktAI is to blend AI and Computer Algebra Systems (CAS) into a process where AI mathematical results are not just generated but also validated, and the validation can be audited.

More about the App →

Three Pillars

Validate

Results are validated step by step: AI drives the computation, one or more CAS execute it, and convergence of results is what makes a result trustworthy.

Collaborate

AI drives, CAS executes, and you steer. Each result, with all its steps, appears automatically in a Mathematica notebook or Maple document that you can audit, modify, experiment, and extend.

Expand

The same architecture extends to new problem domains: each addition expands the kinds of mathematical problems whose solutions can be validated and documented.

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Project

Patent Status

U.S. provisional patent application filed in 2025.