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.
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.
Utilize proprietary software to provide accurate input and labels for private credit projects.
Deliver curated, high-quality data for scenarios involving direct lending transactions, credit underwriting and analysis, loan structuring, covenant negotiation, sponsor due diligence, portfolio company monitoring, collateral valuation, distressed debt investing, and special situations analysis.
Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
XAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. The team is small, highly motivated, and focused on engineering excellence with a flat organizational structure.
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.
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.
Use proprietary annotation and evaluation software to provide precise labels.
Collaborate with engineers and researchers to support the creation of new training tasks.
Deliver rigorous model critiques, alternative solutions and quantitative reasoning when evaluating AI outputs.
xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence.
Apply AI to Real Financial Problems: Use GenAI and ML to help users make sense of their money.
Choose the Right Tool for Each Problem: Navigate the AI toolkit thoughtfully.
Ship with Confidence: Leverage and enhance our sophisticated evaluation framework to ensure AI quality.
Monarch is a personal finance platform designed to simplify finances. They are a fully remote company with a team of do-ers led by experienced entrepreneurs who are passionate about helping members reach their financial goals.
You will be vital in enhancing xAI's frontier AI models by supplying high-quality annotations, evaluations, and expert reasoning using proprietary labeling tools.
You will work closely with technical teams to support the creation and refinement of new AI tasks, focusing especially on cryptocurrency and digital asset markets.
Your deep domain knowledge will guide the selection and rigorous solving of complex problems in quantitative crypto strategies.
XAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence.
Partner with technical staff to support the development of new AI tasks and contribute to innovative tooling.
xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Their team is small, highly motivated, and focused on engineering excellence, and they operate with a flat organizational structure.
Identify high-impact AI use cases tied to revenue growth, margin expansion, and efficiency.
Build practical AI roadmaps tailored to each company’s data and capabilities.
Design and implement AI solutions, including automation, analytics, and LLM applications.
LLR Partners is a lower middle market private equity firm focused on investing in software and tech-enabled companies within the knowledge economy. Founded in 1999 and headquartered in Philadelphia, LLR has raised over $7.5 billion across seven funds and has partnered with over 130 companies.