Transform your AI from hope to certainty
MetaReason provides statistically rigorous confidence scoring for Large Language Model outputs, transforming "it seems to work" into "it works with 94% confidence Β±2%."
- Quantify AI Uncertainty through Bayesian confidence intervals
- Test with 2,000 Variants using Latin Hypercube Sampling
- Dual-Oracle Evaluation for accuracy and explainability
- Open Governance with transparent AI management
MetaReason Core (Open Source)
The evaluation engine that powers statistical confidence scoring
- YAML-based configuration
- PyMC Bayesian analysis
- CLI and Python API
Enterprise platform with governance dashboards
- VPC-native deployment
- Dashboards
- Automated jobs
- Compliance reporting
We practice what we preach - our entire AI governance process is open and transparent:
- π Public Policies - All AI governance documents
- π― Risk Management - Live risk register and assessments
- β Compliance - ISO 42001, EU AI Act ready
- π€ Community - RFCs and working groups
- metareason-core - Open-source evaluation engine
- metareason-governance - Complete AI governance framework
- Discord - Real-time chat
- Discussions - Governance and technical discussions
- Blog - Technical deep dives
- Twitter - Updates and insights
Founded 2025 β’ Open Source β’ Enterprise Ready