Define Evaluation Objectives
Establish scientific domains, model capabilities and evaluation criteria.
PAWDUX LABS / HOW IT WORKS
How Our Scientific AI Evaluation Process Works.
Expert-led scientific evaluation, structured data and actionable intelligence for advanced AI.
OUR PROCESS
From AI outputs to expert evaluation.
A structured process combining scientific expertise, consistent assessment methods and quality assurance to deliver evaluation data that supports AI development.
Prepare Evaluation Tasks
Structure model outputs, reasoning tasks and benchmark datasets for assessment.
Expert Task Allocation
Assign qualified scientific specialists according to domain expertise.
Scientific Model Evaluation
Score factual accuracy, reasoning, evidence quality, uncertainty and safety.
Quality Assurance
Check reviewer consistency, resolve discrepancies and flag critical failures.
Evaluation Data & Reporting
Deliver scored datasets, error classifications and actionable findings.
WHAT CLIENTS RECEIVE
Structured evaluation data. Actionable findings.
Expert-Scored Outputs
Structured assessments of AI-generated responses and scientific reasoning.
Accuracy & Safety Findings
Identification of factual errors, unsupported conclusions and safety concerns.
Evidence & Error Classifications
Documented evidence quality, error categories and assessment rationale.
Consolidated Evaluation Reports
Clear findings to inform model testing, refinement and further evaluation.
WORK WITH PAWDUX LABS