The ExaktAI App
You ask in natural language, or using palettes of mathematical symbols, or describing the mathematics using Mathematica or Maple syntax. ExaktAI produces a succinct answer that includes the derivation steps, and automatically generates and opens a validation Mathematica or Maple document.
Expanding any of the collapsed 'Details' shows, directly in the App, the computational instruction (CI) that represents the step in the Computer Algebra System (CAS), in this case Mathematica, the AI inferred result (AIR), and the result from the CAS. The CI and CAS are reproduced in the Mathematica notebook.
Codex (OpenAI) + Maple: the osculating circle problem validated in 4 steps, optionally showing Timelimit and Reasoning effort.
How it works
The problem is presented using natural language; ExaktAI guides the AI through a structured reasoning process that produces step-by-step computational instructions. Each instruction is executed in a CAS. ExaktAI applies a multi-stage strategy involving independent AIs, CAS executions, and mathematical equivalence checks in order to validate a step.
The validated answer appears in an automatically generated and opened Mathematica notebook or Maple document that you can audit, modify, experiment, and extend.
In summary: AI drives, CAS executes, ExaktAI orchestrates, and you stay in the loop.
AI consensus
Besides step-by-step validation, there is another mode: run several AIs on the same problem, then verify whether their answers are mathematically equivalent. ExaktAI uses computer algebra systems (CAS) to check equivalence and reports the agreement level, for example, Consensus 6/6 when six AIs independently converge on the same answer, and so on.
Consensus is not a substitute for full step-by-step validation. AI systems sharing the same training data can converge on the same wrong answer. What consensus adds is another way to assess an answer: disagreement is surfaced immediately, and convergence across independent AIs is a meaningful signal.
When AIs Disagree
Consensus is not guaranteed. When the AIs split, ExaktAI shows which ones agree and explains the difference - automatically, by comparing the actual answers.
Request early access
ExaktAI is in development. We can reach out when it's ready to try, beta scheduled for late summer or fall 2026.