About 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.
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 n...
18 Sept 2026
Matthew Bernath: Building a Business Around Your Data
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 consum...
3 Sept 2026
Freeman Lewin: Agentic Data Sourcing
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 su...
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