Model Evaluation
Rigorous measurement of accuracy, bias and failure modes before anything reaches a user.
Rigour before deployment.
Boston AI consultancy for regulated and research-driven organisations, where being approximately right isn't good enough.
Start a ConversationIn regulated and research settings, an AI system that is usually right is not automatically useful. What matters is knowing precisely when it's wrong, how often, and what happens next.
QuantumPath Solutions was founded in Boston to build with that constraint in front. Elliott Donovan established the practice to serve organisations where a model's output informs a decision that someone will later have to justify.
We work with healthcare, life sciences and financial institutions across New England. Our engagements often conclude that a proposed application isn't yet viable — a finding that saves considerably more than it costs.
Six areas where we do our most useful work for Boston businesses.
Rigorous measurement of accuracy, bias and failure modes before anything reaches a user.
Focused investigation of whether a proposed approach is viable, with a defensible answer either way.
AI systems built for environments with audit requirements, documented for the people who will inspect them.
Production systems around models — APIs, monitoring and the operational scaffolding that keeps them honest.
Lineage, retention and access frameworks that satisfy compliance without paralysing the research team.
Independent review of vendor claims and internal proposals, in language a board can act on.
Figures from our own engagements, not industry averages.
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