David Benigson reflects on Signal AI’s decade of evolution, growth and funding on the PRmoment podcast

This week we’re chatting to co founder of Signal AI David Benigson on the PRmoment podcastFrom media monitoring start-up, to $165m investment via 6 funding rounds: Signal AI founder David Benigson talks to PRmoment founder Ben Smith through its journey.In September 2025, Signal AI raised $165 million in a growth equity round led by Battery Ventures. This investment will support global expansion, product development, and strategic acquisitions. Signal AI has 220 employees and apparently 40% of the fortune 500 are clients.According to a report in City AM Signal AI reported £23 million in revenue in the year to March 2024.Before the Battery Ventures investment, the company had previously raised around $100 million investment from previous funding rounds including Aberdeen, Hearst, and Guardian Media Group Ventures.A quick plug for the PRmoment Awards, the final entry deadline is Friday 23 January. Don’t miss the opportunity to shout about the work you and your team have done over the last 12 months and get an independent endorsement from the PRmoment Awards jury.Here’s a summary of what PRmoment founder Ben Smith and David discussed on the show:David Benigson recounted the founding of Signal AI a decade ago in London with the initial goal of using AI to help business leaders understand real-time information for better decision-making in reputation tracking and media intelligence. Signal AI, which has scaled globally and now serves over 800 organizations by processing data from over 225 markets in 75 languages, evolved from discriminative AI expertise to integrating generative AI to create a conversational layer for clients. David Benigson and Ben Smith discussed Signal AI's six funding rounds, including a recent $165 million round, which allowed the company to reach an inflection point of profitability and self-sustainability, and David Benigson also detailed the shift in corporate communications toward data-driven practices, focusing on advanced monitoring, measurement, and "decision intelligence" for strategic risk management.