Gone are the days of painstaking manual research and endless spreadsheets because AI has taken over how financial professionals analyze markets, uncover insights, and make decisions with precision.
Samaya AI, is one such platform designed to supercharge financial intelligence. With $43.5 million in fresh funding led by New Enterprise Associates (NEA) and backed by tech and finance visionaries including Google CEO turned prominent Silicon Valley investor Eric Schmidt, AI “godfather” Yann LeCun, David Siegel, and Marty Chavez, Samaya AI is redefining the role of AI in financial services.
Samaya AI’s Specialized Approach
Unlike general-purpose AI models, Samaya AI focuses on domain-specific intelligence, ensuring its AI agents are trained exclusively for financial workflows.
According to company Co-founder and CEO Maithra Raghu, the founders held the view that domain-specific large language models (LLMs) would yield higher quality results compared to broad, general-purpose LLMs designed for diverse tasks.
This specialization allows the platform to deliver high-precision insights without the inaccuracies often associated with broad AI models. The company’s AI agents can autonomously synthesize investment reports, generate presentations, and provide instant answers to complex financial questions, all while grounding their outputs with cited evidence.
Founded in 2022 by leading AI researchers from Google Brain, Meta FAIR, Amazon Web Services, and the Allen Institute for Artificial Intelligence, the company, as stated by its co-founder and CEO Maithra Raghu, aims to stir and integrate intricate financial processes with a specialized AI. Raghu emphasized the necessity of AI purpose-built for this objective, where expertise arises from focused specialization.
Causal World Models: A Game-Changer
Along with the funding, Samaya AI has launched Causal World Models, an AI agent designed to model economic systems and provide quantitative predictions for macroeconomic trends. This technology enables financial analysts to explore questions like “What impact will new tariffs have on the U.S. economy?” with AI-generated interactive diagrams, qualitative insights, and precise economic projections.
Their system built computational graphs to trace ripple effects, tests multiple hypotheses, and distills vast amounts of data into concise, actionable insights. In a research preview, their AI even modeled the impact of reduced immigration on U.S. inflation, synthesizing 1,100 relevant data points into a mathematical model of 100+ economic variables something traditional AI often fails to achieve
Industry Adoption and Market Momentum
Samaya AI has seen 100% month-over-month growth in usage and is already being deployed by Morgan Stanley’s Institutional Securities Group and several hedge funds. Katy Huberty, Global Director of Research at Morgan Stanley, praised Samaya AI for its ability to generate actionable insights from both proprietary research libraries and external sources, enhancing the firm’s ability to provide world-class analysis to clients.
Investor Confidence
Leading investors see Samaya AI as a disruptive force in financial services.
Tiffany Luck, Partner at NEA, describes the company as “revolutionizing decision-making for financial institutions,” while Eric Schmidt, former Google CEO, highlights its ability to streamline workflows and enhance market analysis. With its latest funding, Samaya AI plans to expand its product offerings, integrating AI into financial workflows such as investment research, client advisory, and deal diligence.
As AI continues to evolve, platforms like Samaya AI are demonstrating that machine learning is more than just automation, it’s about the rightful augmentation. By leveraging financially trained AI models, professionals can navigate complex markets with confidence, turning massive volumes of data into actionable intelligence.