AI red teaming is a semi-structured testing approach to assess and improve the safety and effectiveness of AI models and systems by identifying vulnerabilities, limitations, and potential areas for improvement. Humane Intelligence offers red teaming events as a paid service using our own software, which we released under an open source software license in September 2026.
AI Contextual Evaluations are rigorous, mixed-method, bespoke evaluations designed to give a comprehensive analysis of an AI model or system’s performance for a specified problem space. In 2026, we developed our ontology-based contextual AI evaluations (OB-CAIE). Humane Intelligence designs and runs contextual evals as a paid service.
Bias bounties are collaboratively designed sets of challenges that bring together researchers, impacted communities, and domain experts to rigorously examine and improve AI / ML systems, models, and datasets. Our final self-hosted bias bounty closed in November 2025. In August 2026, we launched our first bias bounty on Zindi, a global data science challenge platform.
Our web application was designed for the data collection aspects of our hosted red teaming events and our contextual evaluation services. In September 2026, we released our AI red teaming app as an open source software. Our new client-facing software will be available in October 2026.
