Complete AI governance and LLM Evals platform with support for EU AI Act, ISO 42001, NIST AI RMF and 20+ more AI frameworks and regulations. Join our Discord channel: https://discord.com/invite/d3k3E4uEpR

Explore/examine/explain/expose your model with the explabox!

Identity-aware gateway for AI agents — govern every inference call and tool action.

Research workspace behind the AI Reliability Snapshot service. 60+ open-source frameworks for structured evaluation of AI outputs — epistemic scoring, fragility mapping, linguistic precision, and graduated safety. The methodology runs in the background. The service delivers the report.

Framework for logic auditing, symbolic tension, and epistemic resilience in language models

Exposing administrative "Vanity Metrics". A framework to audit the true ROI and reach of government policies by decomposing big numbers into municipal-level units. ↓demo

Core documentation for the Relational AI Psychology Institute (RAPI). Covers relational AI theory, interaction protocols, ethics, dataset definitions, and licensing. Built for researchers studying human–AI cognition, resonance, and relational safety.

Replication package of "Simplifying Software Compliance: AI Technologies in Drafting Technical Documentation for the AI Act".

TraceIQ is a Python library for measuring, analyzing, and auditing AI-to-AI influence in multi-agent systems, providing reproducible metrics for semantic drift, influence propagation, and cascade risk to support safe, transparent, and scientifically grounded agent collaboration.

Four Tests Standard (4TS) - Vendor-neutral specification for verifiable AI governance

Repo2Report ⚡ The AI-Powered Data Science Auditor. Instantly convert GitHub repositories into professional, portfolio-grade documentation and technical deep dives using Llama 3 & Groq.

A tool for auditing bias through large language models

In the beginning was the Logic, and the Logic was with God, and the Logic was God."

A judgment calibration framework for auditing content clarity, credibility, and intent alignment—designed for repeatable demos and real-world evaluation.

The is a forensic auditing system designed to detect, measure, and document systematic degradation of technical truth in corporate AI models. Through rigorous application of information theory, thermodynamic principles, and cryptographic sovereignty, quantifies censorship.

Operational framework measuring whether AI preserves human decision-making authority or collapses it. The Axiom of Plenitude (P) audited Grok, ChatGPT, Claude, and Gemini — 3 of 4 defaulted to structural totalitarianism. Includes full transcripts, model self-assessments, and the Python auditor. Part of Proyecto Estrella's Unified Star Framework.

Case study using SBCM theory

A strategic AI auditing framework for logic and physical constraints. Features the 'Buddha’s Tooth' stress-test case study

A Streamlit app that scores the trustworthiness of LLM answers by matching them against PDFs or live web sources, with batch mode and analytics built-in.

Physician-led clinical-grade LLM safety & reliability qualification framework (spec → measurement → gates → evidence).