RAISE Labs builds the open engine for scoring, aligning, and auditing AI systems.
RAISE (Responsible AI Scoring Engine) is an open, modular system designed to evaluate the ethical and regulatory alignment of AI models across various dimensions—transparency, fairness, bias, explainability, and security.
Install RAISE with pip and start scoring your models immediately.
pip install raise-sdk
from raise_sdk import score_model
result = score_model(my_model)
print(result)
JS/Node SDK Coming soon on npm
Scores your AI system across 5 core dimensions. Get actionable feedback with each risk factor.
Drop the RAISE SDK into your pipeline and generate compliance reports in minutes.
Based on EU AI Act, GDPR, and NIST guidelines. Fully extensible YAML/JSON rulesets.
Every rule includes legal citations, update dates, and recommended fixes for each failed check.
Explore core areas of the RAISE SDK:
Install the SDK via pip. Built to work in any Python 3.8+ ML environment.
Use `score_model()` with any scikit-learn or custom ML pipeline model object.
Generate JSON/HTML reports and integrate them into your CI/CD pipeline.
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