Develop and iterate realistic prompts that you would ask a junior role to test the relevance and quality of AI-generated insights.
Systematically evaluate divergence between professional insurance judgment and AI outputs across investments, underwriting, and actuarial contexts.
Translate how insurance professionals evaluate risk, price policies, manage general account portfolios, and model liabilities into problems that push the limits of AI reasoning.
Develop and iterate realistic prompts to test the relevance and quality of AI-generated insights.
Systematically evaluate divergence between professional investment reasoning and AI outputs.
Translate how institutional investors evaluate securities into problems that push the limits of AI reasoning.
Mentis AI works at the intersection of institutional investment expertise and frontier AI systems. Their team combines deep asset management experience with machine learning and applied AI research.
This residency is designed for senior research analysts and portfolio managers.
It offers exposure and experience in the direction of AI in your domain.
You'll gain early, practical exposure to using advanced AI systems.
Mentis AI, founded by ex-Lazard and Partners Group professionals, is headquartered in London and San Francisco. We bring real-world expertise from finance, healthcare, and law into AI model training, bridging the gap between human and artificial intelligence.
Develop and iterate realistic prompts to test the relevance and quality of AI-generated insights.
Systematically evaluate divergence between professional real estate judgment and AI outputs across asset classes/risk profiles.
Translate how REPE professionals evaluate acquisitions into problems that push the limits of AI reasoning.
Mentis AI operates at the intersection of institutional investment expertise and frontier AI systems. Their team combines 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.
Develop and iterate realistic prompts to test the relevance and quality of AI-generated insights.
Systematically evaluate divergence between professional credit judgment and AI outputs across contexts.
Translate how credit professionals evaluate borrowers into problems that push the limits of AI reasoning.
Mentis AI works at the intersection of institutional investment expertise and frontier AI systems. Their team combines deep asset management experience with machine learning and applied AI research.
Develop realistic prompts to test the relevance and quality of AI-generated insights.
Evaluate divergence between investment professional views and AI outputs.
Design frameworks that push the limits of AI reasoning in hedge fund contexts.
Mentis AI operates at the intersection of institutional investment expertise and frontier AI systems. They combine deep asset management experience with machine learning and applied AI research, collaborating with leading AI labs to improve how models reason and make decisions in high-stakes financial contexts.
Develop realistic prompts to test the relevance and quality of AI-generated insights.
Systematically evaluate divergence between professional credit judgment and AI outputs.
Translate credit professional workflows into problems that push the limits of AI reasoning.
Mentis AI operates where institutional investment expertise meets frontier AI systems. Our team blends asset management experience with machine learning and applied AI research, collaborating with leading AI labs to improve how models reason and make decisions in high-stakes financial contexts.
Develop and iterate realistic prompts to test the relevance and quality of AI-generated insights.
Evaluate divergence between professional advisory judgment and AI outputs.
Translate practitioner approaches into problems that push the limits of AI reasoning.
Mentis AI operates at the intersection of institutional investment expertise and frontier AI systems, collaborating with leading AI labs to improve how models reason and make decisions in high-stakes financial contexts. Their team combines asset management experience with machine learning and applied AI research, operating across London and San Francisco.
Improve AI reasoning across investment banking and capital markets.
Contribute deal experience to a structured research project.
Evaluate, generate, and refine content reflecting senior IB professionals' thinking.
Mentis AI, founded by ex-Lazard and Partners Group professionals, brings real-world expertise from finance into AI model training. Headquartered in London and San Francisco, they bridge the gap between human and artificial intelligence.
Lead the AI Engineering & Automation capability within the Digital organization
Identify opportunities to embed AI into underwriting, submission processing, operations, and internal systems
Drive adoption of AI-assisted development practices across engineering teams
Crum & Forster (C&F) provides specialty and standard commercial lines insurance products through their admitted and surplus lines insurance companies. With more than 2500 employees, they have locations throughout the United States and are part of Fairfax Financial Holdings, a global, billion dollar organization.
Analyze warranty and MGA program profitability and present results to business leaders.
Perform pricing studies for new and renewal customers and programs.
Develop predictive models to enhance and improve client and program pricing.
Amynta Group is a premier insurance services company with more than $3.5 billion in managed premium. They have 2,000 associates across North America, Europe, and Australia and are an independent, customer-centered and underwriting-focused company.