Real Tasks. Not Synthetic Tests.
Paritt evaluates real economic work: research, operations, analysis, support, and workflow execution in controlled task environments.
AI and human workers complete identical tasks in controlled environments. Outputs are reviewed blind. Results are economic facts, not marketing claims.
Paritt evaluates real economic work: research, operations, analysis, support, and workflow execution in controlled task environments.
AI and human participants receive the same task contract, tools, files, and constraints so the comparison is about work product.
Outputs are scored as Option A and Option B before identity is revealed, reducing model hype and reviewer anchoring.
Paritt measures whether a model can complete valuable work under matched conditions. The protocol is intentionally narrow: same task, same environment, blind review, then a reveal grounded in quality, time, and cost.
Specify economically meaningful work, expected output, tool mode, time limit, and environment requirements.
Provision matched AI and human sessions with the same task fingerprint and environment parity constraints.
Score the submitted work without knowing whether it came from a human participant or an AI model.
Compare quality, elapsed time, and cost to decide whether the model clears the buyer's deployment bar.
Successful AI procurement depends on whether a model is better, faster, and cheaper on the work you actually need done.
Join the waitlist if your team needs to compare AI systems against human work before putting them into production.