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Information Matters - Agentic AI News and Market Forecasts

The Agentic Revolution: what it means for business and the rules of competition

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The team

Dr Martin De Saulles — Principal Analyst

Martin is the founder and principal analyst of Information Matters. He sets editorial direction, writes feature pieces and signs off on every report and post that Information Matters publishes.

He writes regularly for CIO.com on the agentic AI sector and on enterprise data as well as other professional publications. Martin is frequently quoted across a range of publications including TechCrunch, The Conversation, the FT and The Times Higher, and has written a number of books and reports on AI and data-driven innovation. Before founding Information Matters, Martin spent over 20 years working as a technology analyst and academic.

Connect with Martin on LinkedIn.

Our approach

Three things shape how we work.

A proprietary company database, updated weekly. We track more than 600 agentic AI companies in-house — what they do, where they are, who funds them, how they are classified, what is changing about them. The database is the analytical substrate behind every report and post we publish. Companies covered in our reports get public profile pages on this site; the wider library is internal to our research team.

Decades of human expertise, applied through AI. Information Matters’ editorial direction is set by Martin De Saulles, drawing on twenty-plus years as a technology analyst and academic across the AI, enterprise data and innovation beats. We use highly calibrated AI agents trained for specific research and analysis tasks — surveying primary-source disclosures, maintaining the company database, drafting analytical pieces against agreed editorial standards. Each agent operates within tightly defined guardrails and a detailed brief on where to look for research and how to analyse it before drawing any conclusions. Judgement, sign-off and the analytical position remain human; the production capacity is AI-enabled.

Primary sources, ground-truthed. We cite earnings calls, regulatory filings, company announcements, first-party developer and CIO surveys. We do not cite aggregator market-research firms as primary data. Our analysis draws on conversations with the experts and innovators who build, fund and buy the technologies we cover — keeping the work honest in a way that desk research alone cannot.

Working with us

Information Matters takes inquiries from investors, vendors and corporate buyers — connect with Martin via LinkedIn or use our contact page.

We publish two distinct types of content. Our research content — quarterly market reports, news commentary, thematic deep-dives, the company profiles — is impartial and vendor-neutral. It is the firm’s core output and is never paid for, edited, or influenced by any company we cover. Separately, we sometimes publish vendor-sponsored content when a vendor has a story to tell that we judge to be of genuine interest to our readers. Sponsored pieces are clearly flagged at the top and bottom of the piece, and are kept distinct from the impartial research so readers can always tell which is which.

We do not provide investment recommendations on specific securities. Beyond that, we are happy to discuss what we are seeing in the sector with anyone whose questions are serious.

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Upcoming AI Events

Jun 10
June 10 - June 11

The AI Summit London, 10-11 June 2026

Jun 23
June 23 - June 24

AI World Congress, London 23-24 June 2026

Jul 4
July 4 - July 6

Cyprus AI Expo 4 – 6 July 2026

Aug 4
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Ai4 Las Vegas, 4-6 August 2026

Sep 15
September 15 - September 17

AI Infra Summit – 2026 – Santa Clara Convention Center

Nov 7
All day

USA AI Summit 2026 – Manhattan, New York

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