Selling Signals - the Data Monetisation Podcast

Selling Signals is the podcast for anyone building, selling, or buying data, with a focus on commercialising data in the investor ecosystem. Each episode brings together industry insiders to share real, first-hand experience from the front lines of data sales. We unpack what actually works when turning raw data into revenue, whilst exploring other data buying silos to break down the walls between them. Selling Signals delivers practical lessons to help data teams sell better and build stronger, more commercial data businesses.

Selling Signals - the Data Monetisation Podcast is a business podcast hosted by James Worthington and Eric Evans, with 19 episodes on record and a Required Pod Score of 80.

James Worthington and Eric Evans hosts Selling Signals - the Data Monetisation Podcast, a business show with 19 episodes published.

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  Episode #20

  Arsham Ghahramani: Voice AI for Expert Networks

  Oct 2, 202650 minS1

  In this episode of Selling Signals, we’re joined by Arsham Ghahramani, CEO of Ribbon AI. Arsham explains how a product built to interview job candidates found a new market in expert systems and investment research. He describes a hedge fund that went from consulting a handful of experts to interviewing a hundred on the same question. We discuss what this changes about research and how Ribbon handles the confidentiality of a fund’s questions. We also explore the value of expertise that has never been written down. Arsham shares his view on why demand for human knowledge could grow as AI improves, including the possibility of models calling experts when they get stuck.

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  Episode #19

  Matthew Bernath: Building a Business Around Your Data

  Sep 18, 202655 minS1

  In this episode of Selling Signals, we’re joined by Matthew Bernath, co-founder of Alternata. Matthew works with companies exploring whether their existing data could support a new business. We discuss how to assess the commercial opportunity before committing resources. Matthew explains how prototypes built with synthetic data can help test a proposed product with buyers. He also shares his approach to pricing around the value a customer expects to receive. The conversation turns to consumption pricing and Matthew’s preference for long-term relationships in which buyers help improve the product. He explains why one-off AI training deals can still make sense when the revenue justifies the work involved. Throughout the discussion, Matthew returns to one constraint. A data business should not damage the core operation that produces its data. We explore how that affects the opportunities a company should pursue.

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  Episode #18

  Freeman Lewin: Agentic Data Sourcing

  Sep 3, 202649 minS1

  What happens when the person sourcing your data is no longer a person? In this episode of Selling Signals, we’re joined by Freeman Lewin, co-founder of Brickroad. Freeman began his career in private equity and later worked as an attorney negotiating data and AI contracts. Brickroad uses agents to discover new data suppliers and automate what Freeman calls the “messy middle” of procurement. Its agents search thousands of sources and infer key details about a dataset. They then surface the suppliers most worth investigating. We also discuss how vendors should think about monetising their data with both frontier AI labs and smaller specialist AI teams.

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  Episode #17

  Tjeerd van Cappelle: Literally Selling Signals

  Aug 20, 202643 minS1

  In this episode of Selling Signals, we’re joined by Tjeerd van Cappelle, founder of aiLiftOff. Tjeerd spent more than 16 years on the buy side as a quantitative investor before building a company that forecasts revenues and earnings for stocks globally. We discuss what quants look for in data vendors and why a backtest is only the start of the conversation. We also cover the challenge of selling model output, where trust can matter as much as accuracy. The episode ends with a fascinating discussion on artificial stock markets and what they could mean for AI-driven investment research.

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  Episode #14

  Nick Derewlany: From Data Asset to Data Business

  Jul 9, 202648 minS1

  In this episode of Selling Signals, we’re joined by Nick Derewlany, a data monetisation leader who has worked across GlobalData and Trustpilot building new data products inside larger organisations. Nick brings a practical view on how corporates should think about commercialising existing data assets. We talk about why “we have lots of data” is not the same as “we have a data business”, and what companies should prove before hiring a team or putting large revenue targets in front of the board. The conversation also covers the path from 0 to 1, the importance of repeatable demand, and why $1m ARR across several customers is a very different signal from one large bespoke deal. This episode is for anyone building, buying or selling data products, particularly inside companies where data monetisation sits alongside a much larger core business.

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