Problem

Investment professionals face an information-overload problem: global markets now involve exponentially more sources, asset types, and disruptive themes, making it difficult to maintain both a detailed view of individual companies and a coherent view of broader market developments. Samaya argues that this “zoom in” versus “zoom out” tradeoff leads to missed or suboptimal decisions and potentially hundreds of billions of dollars in lost value. The core pain is therefore expensive, high-stakes knowledge work: analysts must sift through filings, broker research, market data, and other real-time information before they can form an investment view.

The killer use case is accelerating investment research and decision preparation—distilling large volumes of information into reliable, portfolio-specific insights, identifying changes that may create alpha, and producing investment memos or client-ready outputs. The opportunity is particularly substantial because Samaya frames financial services as a $35 trillion market in which information overload and workflow friction remain pervasive.

Product / Service

Samaya sells an enterprise AI platform built around specialized “Expert AI Agents” for financial services. Its custom-trained financial models combine quantitative and qualitative sources, including market insights, broker research, filings, social media, and secure internal notes. Agents can answer nuanced questions with cited evidence, monitor markets and theses continuously, and autonomously execute multi-step workflows such as generating financial models, reports, presentations, research summaries, valuation analyses, and investment materials.

The delivery model is designed for institutional deployment rather than generic chatbot use. Customers can configure templates, formats, permissions, and workflows, while the platform provides sandboxed execution, audit logs, access controls, and SOC 2-compliant security. The intended benefit is to give investment professionals a personalized team of reliable, market-fluent AI collaborators that improves speed, factuality, and analytical coverage while reducing the manual work required to move from raw information to investment conviction.

Market

Samaya competes in the enterprise AI-for-financial-services market, specifically the overlap between AI-native investment research, financial intelligence, and workflow automation. Its competitive set includes broad financial research platforms such as AlphaSense, AI-native analysis and document-workflow products such as Hebbia, and more specialized tools such as Rogo for deal work, Daloopa for model data, and Quartr for earnings-event research. Samaya differentiates itself by combining financial-domain models, real-time and internal data, cited answers, continuous monitoring, and autonomous multi-step execution across research, banking, sales and trading, asset management, private equity, and wealth-management workflows.

The company shows substantial commercial traction rather than being merely pre-revenue: it announced a $43.5 million Series A led by NEA in May 2025, reported 100% month-over-month usage growth, named Morgan Stanley as a customer, said the product was live with thousands of users globally, and states that it is deployed across more than 10,000 seats at bulge-bracket banks and top asset managers. The cited materials do not disclose revenue or revenue scale, so the business’s financial performance cannot be determined, but its institutional customers, production deployments, and reported usage indicate meaningful market adoption.