Deep Rethink works with the leaders of research, events and B2B information companies to grow their share of each client's spend as AI changes how research is bought, read and used. Strategy first; hands-on delivery where it pays.
Three shifts that decide which information businesses compound in value over the next few years.
Enterprise clients increasingly want research inside Copilot, ChatGPT and Claude. Done well, that deepens the relationship and adds a licensing line. Done badly, your content gets summarised and the relationship moves elsewhere.
The larger spend sits inside the client: the people who read your research, answer colleagues' questions and commission custom work. Much of that work can now be done for them, by you.
Buyers and investors look for proprietary data embedded in client workflows, and for evidence that AI is adding revenue rather than only cutting cost. Assertion is no longer enough; the evidence has to be built.
Founder vision
Plugging tech in is easy. Retaining and growing the customer at next renewal - and building a business that compounds in value in the AI era - that's what Deep Rethink is committed to.Daniel Lord, Founder
Fixed-fee, bounded engagements. Strategy before technology, and only the technology the strategy needs.
Start here · two-to-three-week sprint
A commercial sprint for the CEO or commercial lead, before your clients' own AI tools do the disrupting for you. We map what one or two of your key accounts spend on intelligence work around your subscription, design one service you could sell under your own brand within a quarter, write the one-page story your board or investors can use, and give a clear recommendation: proceed, change the design, or stop.
For research and advisory firms this runs as "From research subscription to research service".
Delivery
Turn the information you already hold - audiences, surveys, benchmarks, archives, analyst notes - into recurring research products and governed AI access, without building an analyst team first. Where the plan calls for it, delivery runs on Content Catalyst's platform, so answers draw only on content each client is licensed to see, usage is measured, and enterprise clients can query your research inside their own AI tools with attribution back to you.
Managed service · early adopters
Insight-Out reads your research alongside each client's stated priorities, scores the match and briefs your account teams on who to contact and why. The aim is simple: every client feels like your most important one, and renewals and expansion rest on evidence rather than habit. We deliver it as a managed service for a small number of early-adopter firms first, so that what gets automated is what has already proved its worth.
Owner-led and investor-backed businesses where information is the product.
Your clients buy your research so they don't have to produce it. Their teams still do the work with it. We help you take on that layer under your own brand, and keep the account as AI changes how research is consumed.
Your delegates, speakers, surveys and sponsor data describe a market better than most published sources do. We help you decide whether, and how, to turn that into a subscription-grade intelligence product that reinforces the events rather than competing with them.
Proprietary data embedded in client workflows commands the premium. We help you prove it, with governed AI access, usage evidence and client engagement that holds up in diligence.
Engagements are fixed-fee and bounded, led personally by Daniel Lord, with specialists drawn in as needed. We start with the commercial question, not the technology.
Founder
Twenty years in analyst research. Founder of Content Catalyst, worked with clients including 451 Research (S&P Global), IQVIA, Oxford Economics, Wood Mackenzie, CCS Insight, Informa, Decision Resources Group, Freedonia, Signify Research, and Spherix Global Insights.
Inventor of three US patents. Lives in Barcelona.
Based at Norrsken House, Barcelona, working with clients across the UK, Europe and the US.
A 20-minute call: what they buy from you, what their own teams still do with it, and what they would pay to have you do it instead.
