Build AI that's safe, aligned, and compliant—every deployment. One platform combining the Jo.E framework with 29+ specialized tools for comprehensive safety evaluation and governance automation.
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Joint Evaluation methodology integrating human expertise, LLMs, and AI agents for comprehensive AI safety assessment
Independent evaluator LLMs conduct initial screening using standardized metrics, detecting patterns and flagging potential issues for deeper investigation.
Specialized agents perform systematic adversarial testing, bias detection, and edge case exploration to verify and classify potential issues.
Domain specialists provide final judgment on nuanced concerns, ethical considerations, and contextual appropriateness that automated systems cannot assess.
Evaluation insights feed back into model improvement processes, enabling continuous enhancement of AI safety and alignment.
Models undergo continuous monitoring in limited environments before full deployment, ensuring real-world safety validation.
Deploy the complete Jo.E framework with 500+ built-in evaluations covering bias, toxicity, alignment verification, and domain-specific safety metrics.
Work in ProgressSeamlessly connect with 29+ specialized tools including TruLens, Anthropic Safety Layers, Microsoft Responsible AI, and IBM AI360 suites.
Work in ProgressAutomate compliance workflows with built-in support for EU AI Act, NIST AI RMF, ISO standards, and custom regulatory frameworks.
Work in ProgressContinuous monitoring of AI behavior alignment with organizational values, ethical guidelines, and intended objectives across all deployments.
Work in ProgressAccess to curated network of AI safety experts, ethics specialists, and domain professionals for critical human evaluation tier.
Work in ProgressDeploy across your existing infrastructure with support for major cloud platforms, MLOps pipelines, and enterprise security requirements.
Work in ProgressBias detection, explainability, regulatory compliance
Safety validation, clinical decision support, HIPAA compliance
Policy compliance, transparency, public sector requirements
Academic evaluation, reproducibility, open science standards
LLM evaluation, agent safety, scalable deployment
Recommendation fairness, customer service AI, personalization ethics
Join leading AI teams using the Jo.E framework to deploy responsible, aligned AI systems at scale.