AtScale has launched AtScale for AI, a suite designed to help enterprises improve the accuracy and reliability of AI systems working with business data. The offering combines AI-assisted semantic modeling, clarification of natural-language questions, governed computation, and accuracy testing to help organizations generate consistent answers across AI agents, applications, and analytics tools.Powered by AtScale’s AI Computation Engine (ACE), the suite includes four capabilities. AtScale CoModel uses AI to create and maintain semantic models, with proposed changes subject to human review. AtScale Ava clarifies business questions and identifies the intended metric before calculations begin. ACE applies governed definitions and calculation logic to enterprise data, while AtScale Canary evaluates AI-generated answers against validated results and tracks accuracy issues over time.
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“The AI industry keeps telling enterprises to buy a smarter model, but a model can’t reason its way to your definition of revenue,” said Chris Lynch, CEO of AtScale. “Enterprises need to define what an answer means, compute it correctly, and prove it holds up. AtScale for AI brings those capabilities together so accuracy becomes something businesses can measure, improve, and demand.”The platform aims to address a common challenge in enterprise AI: models may interpret metrics such as revenue differently unless organizations provide clear definitions and consistent calculation rules.