Carme builds evaluation and monitoring infrastructure for AI systems — starting with the question nobody answers well: which model is actually reliable for your use case?
Behavioral evaluation for large language models. Identify which failure patterns your AI exhibits — hallucination, prompt injection, scope creep, crisis blindness — before your users do.
The next product is in development. If you have a problem in AI evaluation, ranking, or reliability — reach out.
AI systems today have sophisticated capability evaluations but primitive behavioral monitoring. Carme builds the infrastructure to change that — starting with empirical, reproducible tools grounded in real-world failure data.
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Independent research, no funding. LLM API costs are real — a coffee helps.
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