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Public Sector
Test & Evaluation
Test and assess AI for dependability, performance, and safety.
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Trusted by the world's most ambitious AI teams.
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evaluate ai systems
Test Diverse AI Techniques
Public Sector Test & Evaluation for Computer Vision and Large Language Models.
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Computer Vision
Measures model performance and identify model vulnerabilities.
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Generative AI
Minimize safety risks through evaluating model skills and knowledge.
why test & evaluate ai
Why Test & Evaluate AI
Defend the public's rights and lives. Make sure AI is reliable for important tasks and processes.
Rollout AI with Certainty
Have faith that artificial intelligence is reliable, secure, and up to par.
Ongoing Evaluation
Review your AI models frequently to ensure safe updates and ongoing use.
Uncover model vulnerabilities
To reduce unwelcome bias, delusions, and abuses, simulate real-world context.
how we evaluate
Test & Evaluation Methodology
Trusted by governments and leading commercial organizations.
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- Comprehensive analysis that evaluates AI capabilities and establishes AI safety thresholds
- Use automated benchmarks and human experts to evaluate models scalably and accurately.
- Adaptable assessment framework to accommodate revisions to the model, use-cases, and regulations
why refonte
Test & Evaluate AI Systems
with Refonte.Ai Evaluation
Refonte.Ai Evaluation is a platform that covers every step of testing and evaluating, providing real-time data on risks and performance to guarantee the security of AI systems.
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Bespoke GenAI Evaluation Sets
Accurate model evaluations without overfitting are ensured by distinct, superior evaluation sets spanning domains and capabilities.
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Rater Quality
Reliable ratings are produced by skilled human raters and supported by clear metrics and quality control systems.
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Reporting Consistency
Facilitates uniform model assessments to ensure accurate side-by-side comparisons between models.
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Targeted Evaluations
Personalized assessment sets concentrate on certain model issues, allowing for precise improvements through fresh training data.
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Product Experience
Analyzing and reporting on model performance across domains, capabilities, and versioning is made easy with an intuitive interface.
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Red-teaming Platform
Avoid algorithmic discrimination or generative AI risk by mimicking hostile cues and exploits.