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Solutions / AI Exam Scoring

Automatically grade your assessments with AI

Transform your assessment scoring processes with precise, reliable, and advanced auto-scoring from Finetune Score™, powered by Learnable.ai. Built for high volumes and designed in collaboration with Harvard Innovation Lab and MIT experts, Finetune Score delivers real-time feedback that enhances efficiency and consistency while saving time and money.
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Illustration showing the OCR process.

Grade any testing forms including math with machine learning

Finetune Score aligns with SME rubics to deliver precise and efficient results that meet the complex grading needs across many types of testing content including math, languages, and sciences. Capable of handling multimodal inputs, Finetune Score precisely auto-scores high-volumes of low-, mid-, and high-stakes assessments when other large language models fall short.

See Finetune Score in Action
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Tablet screen showing Finetune scoring interface.

Transform grading with the automated precision of Finetune Score

Auto-scoring enhances grading efficiency and consistency with over 95% accuracy, significantly reducing time and costs across all testing formats.

Efficiency & Resource Savings

Transform extensive grading processes with automation to give educators more time to focus on personalized instruction.

Fully Auto-Grading for All Formats

Automate scoring end-to-end with auto-grading that works seamlessly with all question types and formats.

Equitable, Consistent Scoring

Remove human bias with auto-scoring that applies standardized criteria uniformly across all student responses.

Immediate, Actionable Feedback

Help students quickly understand their performance and identify areas for improvement with immediate feedback.

How it works

Learn how Finetune Score delivers unmatched precision and efficiency

Finetune Score supports diverse assessment formats, including multiple-choice and complex open-ended responses, using OCR to accurately interpret handwritten and typewritten content. With seamless API integration, it adapts to existing grading systems, enabling rapid implementation and immediate, actionable feedback for students and candidates.

Highly Accurate Response Recognition

Optical Character Recognition (OCR) accurately captures complex handwritten and typewritten math equations, formulas, and science content, ensuring reliability for detailed responses.

Contextual AI-Driven Grading

Computation-driven engine interprets responses based on grading rubrics, criteria, and standards, delivering precise, fair, and clear results, even for multi-step math problems or scientific proofs.

Versatile Question Type Support

Precise grading handles complex response types like equation solving and scientific derivations while maintaining consistent performance across subjects to meet diverse assessment scoring needs.

Seamless Integration and Scalability

API enables easy integration for use in classrooms or large-scale assessments, supporting multiple languages, including English, Chinese, and Japanese.

Auto-Grading with Optional Human Oversight

Optional human review provides flexibility and comprehensive oversight whenever and wherever you need more grading control, such as in high-stakes assessments.

Data-Driven Insights for Continuous Improvement

Confidence metrics and data insights allow educators to evaluate grading reliability and refine the quality of their assessments.

Precise, unbiased auto-scoring tailored for high-volume assessments

Finetune Score is an essential tool for institutions worldwide seeking efficient, scalable grading, powered by advanced computational models enabled by machine learning technology.

95%

grading accuracy

99%

OCR precision

Transform assessment grading with Prometric's precise, auto-scoring solution

Ready to use the power of machine learning to supercharge your exam scoring? Reach out to learn more about how Finetune Score can help.

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Access best practices and insights to excel in testing with our guides and whitepapers.

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A Complete Guide to Exam Security

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