What mpathic enables for AI Builders
Red Team Models at Scale
Uncover failure modes, misalignment, bias, and safety risks that automated tests and synthetic data evals miss.
Ground Truth Benchmarking
Objectively measure how your models perform on nuanced, high-stakes human behaviors, using validated benchmarks grounded in behavioral science.
Identify Agent Harm Early
Detect subtle but critical risks to vulnerable populations, such as physical and psychological harm – before deployment.
Actionable insights
Translate evaluation into action with clear, model-ready insights that inform training data curation, fine-tuning, and iteration.
AI-Assisted annotation
Option to use mpathic Studio for AI-assisted benchmarking and annotation of your models or multi-modal data, without slowing down research or deployment cycles.
AI builder saw >70% improved safety outcomes
Faced rare, high-risk conversations involving severe distress signals:
• Self harm
• Suicidality
• Crisis states
200
Licensed, multilingual clinicians deployed within days to create ground-truth evaluation datasets across multiple risk domains.
>70%
Reduction in undesired AI responses
