Construct expert benchmarks: Build and validate real-world investment cases and portfolio management frameworks to evaluate AI systems.
Stress-test model reasoning: Diagnose weaknesses in AI-generated investment analyses, identifying where logic or market intuition fails.
Design frameworks: Translate how institutional investors evaluate securities and manage risk into problems that push the limits of AI reasoning.
Mentis AI operates where institutional investment expertise meets frontier AI systems. They combine asset management experience with machine learning and applied AI research, collaborating with leading AI labs to improve how models reason and make decisions in financial contexts.
Construct expert benchmarks to evaluate AI systems.
Stress-test model reasoning, identifying failures in logic.
Design frameworks translating investor strategies into AI.
Mentis AI operates at the intersection of private markets expertise and frontier AI systems. Their team combines institutional finance experience with machine learning and applied AI research, collaborating with leading AI labs to improve AI reasoning in financial contexts.
Data will capture how private equity and growth equity professionals evaluate investments.
Data will span the full investment lifecycle from sourcing to exit.
Mentis AI, founded by ex-Lazard and Partners Group professionals, brings real-world expertise from finance into AI model training. They are headquartered in London and San Francisco and aim to bridge the gap between human and artificial intelligence.