Build and manage a fund focused on investments resilient to AI disruption, political instability, and structural economic shifts
Develop and own the investment thesis and portfolio strategy with a 20-year horizon
Lead capital raising from day one — sourcing, cultivating, and closing LP relationships is the core of this role
They partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. The company is scaling rapidly and has a growing pipeline of opportunities; they are a company of doers and leaders roll up their sleeves.
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: Build and validate real-world underwriting models and investment cases used to evaluate frontier AI systems.
Stress-test model reasoning: Diagnose weaknesses in AI-generated real estate analyses and identify where logic or market intuition fail.
Design frameworks: Translate how REPE professionals evaluate acquisitions and structure transactions into problems that push the limits of AI reasoning.
Mentis AI operates at the intersection of institutional finance expertise and frontier AI systems. Our team combines financial services experience with machine learning and applied AI research, collaborating with leading AI labs to improve how models reason and make decisions.
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.
Engage the model with investment scenarios, analytical questions, and market-based reasoning tasks; verify factual correctness and financial logic.
Assess the validity of investment reasoning; capture reproducible error traces; and provide structured feedback to improve prompts, evaluation frameworks, and analytical depth.
Identify where models oversimplify market behavior or misinterpret financial data.
They are evolving large-scale language models from simple conversational tools into systems capable of analyzing financial markets, interpreting investment strategies, and supporting decision-making across asset classes. They seem to have a growing team.