Model evaluation
Get access to 100,000+ domain experts, specialized datasets to build, train and evaluate AI models.
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Julia H
San Francisco, United States
Senior AI/ML Research Scientist
About
AI/ML specialist with PhD in Computer Science focused on model evaluation and performance optimization. Expert in designing benchmarks and statistical analysis for ML systems.
Expertise
Industries
Trusted by the world's best
Challenges with model evaluation
Expertise
Lack of expertise in evaluation coverage, critical test scenarios and edge cases that break AI in production.
Data Quality
High-quality domain specific data makes the biggest difference in your AI's accuracy and expected outcomes.
Consistent improvements
It's difficult to consistently improve evaluation outcomes and recognize meaningful metrics to measure progress.
Reliable model evaluation expertise and process
Expert Quality
Our evaluation teams combine the highest quality of subject matter experts with evaluation specialists, ensuring you get the expected performance.
Model Evaluation
Marcy Davis
Clinical Operations Director
Ivy N
Senior Clinical Data Scientist
Yuri Ming
Clinical Research Evaluator
David T
Healthcare Performance Reviewer
Transparent and Actionable
Get clear explanations of our evaluation criteria, detailed documentation, and actionable recommendations - not just scores.
Evaluation results
Label
3450 data rows
Review
2234 data rows
Precision
88/100
Quality score
2
Critical Issues
5
Recommendations
Ramp-up Flexibility
Recruit from 1000's of trained and high-quality evaluation and domain experts, to flexibly manage small to large scale evaluation projects.
Project requirements
Location
USA
Canada
Industry
Healthcare
Medical
Job role
Medical AI Validator
Clear all
Tina David
Medical AI Validator
Samantha Walt
Medical AI Validator
Jacob Malcom
Medical AI Validator
Methodology
We deploy systematic, statistically sound evaluation frameworks tailored to your use case, giving you comprehensive test coverage that actually matters.
Model evaluation use cases
Response Quality
Compare and rate responses for accuracy, helpfulness and quality for the similar and diverse prompts.
Domain Performance
Evaluating domain knowledge accuracy and performance for law, finance, healthcare, etc
Factual Accuracy
Verify model correctness, validate citations and find where the model lacks factual accuracy
User Experience
Understand which responses users prefer and why? Measure goal achievement effectiveness
Reasoning
Test model reasoning capability, Assess programming output quality and measuring reliability
Ready to evaluate your model. Get started in 48 hours.
Join leading AI teams who've improved their models with deep domain expert feedback
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