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.
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.
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 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.
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.
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.
The same architecture extends to new problem domains: each addition expands the kinds of mathematical problems whose solutions can be validated and documented.
Edgardo Cheb-Terrab, PhD, Theoretical Physics. 28 years at Maplesoft until the end of 2024.
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Incorporated in Canada.
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U.S. provisional patent application filed in 2025.