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The Hedgineer PodcastExploring the technology used in hedge funds, finance and investing by interviewing the leaders that are building it Author: Michael Watson
The Hedgineer Podcast explores the world of finance, hedge funds and prop trading by looking at the technology that is used to build it. We interview the brightest minds in industry to discuss where they see the technology in the space going and how it is shaping the industry. For anyone building a career in the industry, trying to leverage technology to get an edge, or just curious about what this crazy world of technology in investing is like, this show is for you!Hedgineer Hedge Fund EngineerFollow OnYoutubeInstagramTikTokTwitterLinkedin Hosted on Acast. See acast.com/privacy for more information. Language: en Genres: Business, Careers, Entrepreneurship Contact email: Get it Feed URL: Get it iTunes ID: Get it |
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Data Liquidity and the Agentic Marketplace: Moving Beyond Bulk SaaS Contracts with Dan Entrup and Freeman Lewin | S2E8
Episode 8
Tuesday, 17 March, 2026
Data Liquidity and the Agentic Marketplace: Moving Beyond Bulk SaaS ContractsThe traditional model of purchasing financial data is structurally misaligned with the requirements of modern AI development. While hedge funds have historically navigated opaque pricing and rigid, six-figure bulk contracts, the rise of Frontier Labs and agentic workflows demands a shift toward data liquidity and consumption-based procurement.In this episode, Michael Watson is joined by Dan Entrup (Founder of Agnowledge) and Freeman Lewin (Founder of BrickRoad) to bridge the gap between institutional data strategy and the emerging ML data marketplace. The conversation explores why the "data-centric AI" movement is forcing a reimagining of the supply pipeline, moving away from "buying data to cover your tracks" toward a world where agents autonomously discover, score, and purchase granular datasets for real-time inference.We analyze the friction within current procurement cycles—often involving over 80 emails for a single deal—and contrast this with the "vibe coding" revolution and the Anthropic "skills" ecosystem. By treating expertise as a distributable text-based asset, firms can bypass traditional SaaS moats and build opinionated, autonomous systems that scale far beyond the capacity of human analyst teams.Key TakeawaysThe Shift to Consumption-Based Data: Moving away from bulk annual minimums to consumption models allows firms to trial, backtest, and identify ROI within minutes rather than months, effectively creating a "spot market" for information.Agents as the New Data Buyers: Unlike humans, agents require high-frequency access to small data subsets for accuracy. This creates a need for automated marketplaces where data "sells itself" to machines to maintain trust in agentic outputs.Skills as Monetizable Data: Anthropic’s Model Context Protocol (MCP) and "skills" framework represent a shift where organizational knowledge—such as specific financial modeling styles—becomes a portable, executable asset that can be distributed via marketplaces.The Decline of Legacy SaaS Moats: Software companies that rely on workflow inefficiencies or "proprietary" data that is actually generally available are facing significant valuation pressure as "vibe coding" allows firms to build custom, internal alternatives like CRMs overnight.Timestamps00:00 - Introduction to Dan Entrup and Freeman Lewin. 08:45 - The bifurcation of the data industry: Hedge funds vs. Frontier AI Labs. 15:20 - Friction in data procurement: Why it takes 80+ emails to close a deal. 23:10 - Data-centric AI: Why better data now moves the needle more than algorithmic tweaks. 32:45 - Token optimization vs. Weight fine-tuning for enterprise value. 42:15 - Building the Agentic Marketplace: Why data doesn't sell itself to humans. 54:30 - The "SaaS is Dead" debate and the transition to consumption-based revenue. 79:00 - Anthropic Skills: Structuring and distributing expert knowledge at runtime. 98:30 - Vibe coding and the future of the autonomous, multi-billion dollar "small" firm.About the GuestsDan Entrup is the Founder of Agnowledge and a veteran data strategist who previously served as Head of Data Strategy for a Fortune 500 company. He specializes in expert network curation and helping firms navigate the complexities of data commerce.Freeman Lewin is the Founder of BrickRoad, a frontier data lab building an agentic marketplace for data procurement and liquidity. His work focuses on establishing data liquidity through on-chain transaction histories and utility scoring mechanisms.Michael Watson is the host of The Hedgineer Podcast and founder of Hedgineer, a firm building data and AI platforms for institutional asset managers.Links & ResourcesSubscribe for weekly analysis on AI and data infrastructure in finance.Learn more about Hedgineer: Hedgineer.ioFollow on LinkedIn: https://www.linkedin.com/company/90976838 Hosted on Acast. See acast.com/privacy for more information.
