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Woo hoo! Launching my latest project, the Company Research agent. Was going to launch it at 1am last night, but decided there was no reason to tempt the fates. It's an agent that lets you...umm...easily do company research. I built it for myself (to lookup startups and other companies of interest). But, it's also useful for sales people, partnership developers, customer success and others. You access it at companyresearch .ai It pulls from a ton of different sources, including several proprietary/paid ones to pull together a pretty robust report that includes: * firmographics * top executives * web traffic * search marketing data * G2 product reviews. For publicly traded companies even shows things like revenue multiple and revenue per employee. Additional features: 1) You can save companies or add them to HubSpot (of course) 2) Customize the report by reordering sections or removing them 3) Add your own custom questions that you're curious about 4) Share links to reports with others (links don't require a login) Currently working on a "Smart Note" feature that will create a customized summary/note for you, and add it to HubSpot on the company object (with a link back to the full report). Lots more to come, but I believe in releasing early and often. Let me know what you think, or if you have ideas for improvement. Thanks for your support.

I’m selfishly excited if Google Gemini truly is getting good now — mostly because of how much context Google has about me. The next wave of progress is going to be about context. I don’t feel confident about much in terms of AI predictions these days but I feel confident in making that one. But seeding ChatGPT et al with adequate context is SUCH a pain. I even have an ongoing thread whose sole job is to force things into its memory so I don’t have to keep reiterating things so deliberately. Google knows so much about me (especially if they let me connect my personal and work GSuites into a single sense of master context — hint hint Google / Google Workspace ) that they could give me the most valuable AI experience in the world if they made that leap. p.s. years ago I wrote about the difference between data collection being “creepy” vs “awesome”. Tl;dr is that if you: 1) ask permission & 2) *actually use the data to make my experience better not just help you make more money* (novel concepts I know 🙄) that people will willingly share more (and more accurate) information with you. This is a PRIME example of that. I went from being all “wow how does Google have actual terabytes of data about me in my privacy exports” to “wow I really hope Google figures out how to use their terabytes of data about me — I wonder if I can give them even more?” really quickly 🙃 To win the next phase of AI each of us will have to win the trust of our users to gain access to context. Fortunately that’s doable, yet so rarely done I’ll say it again: 1) Ask permission. Clearly, and as often as feasible. Even at the individual task or interaction level. When people feel like they’re in control and informed they trust you more — so WILDLY overcompensate here (without overly cluttering the UX). 2) Actually use the data — in a VERY obvious way — to improve the user experience. Like any interpersonal relationship, reference the data you use in outputs. People do this all the time talking to each other: “I know you like X so I got you Y” will be said by many a gift giver this month 🎁 Go Google Go! (Or go OpenAI / ChatGPT — *IF* you make it easy to import huge amounts of data that you then reference, because this manual memory management stuff is annoying as all heck) The winners of this race DEFINITELY aren’t set yet. But I’m rooting for whoever takes this approach (and I suspect I’m not alone 🫡).

You already know who they are—the few who figured out AI on their own and are shipping 3x faster. Everyone else is working the same way they did two years ago. A lunch-and-learn won't fix this; you need a workflow rewire.

Something shifted in December. The tools got genuinely good, but most teams are still using AI for autocomplete—which is like buying a Ferrari to drive to the mailbox. We close that gap in 2 days using your actual codebase.

I'm thrilled to have provided a small contribution to Ray Eitel-Porter, Dr Paul Dongha, and Miriam Vogel's new book Governing the Machine, now available. Thank you for mentioning 2021.AI and our GRACE AI Platform 📘 It's encouraging to see the market increasingly recognize that AI platforms must integrate both operations and governance. Too many solutions are "either/or": strong governance tooling without operational depth, or robust MLOps/LLMOps without embedded governance. That's suboptimal - you need both. AI is fundamentally different from technologies organizations have scaled before. You can't simply bolt on a governance layer; it must be embedded in model development, deployment, monitoring, and improvement - as part of the operating model, not an afterthought. A responsible approach to AI has never been more critical, which is why I deeply appreciate efforts like this book that bridge theory and execution. Thank you for the timely insights on AI Governance, and congratulations on an outstanding book, Ray, Paul, and Miriam! 👏 #aigovernance #responsibleAI #AI4good #GRC #AIGRC

One of the biggest reasons AI projects fail isn’t the models — it’s the foundation. Complex infrastructure, unclear governance, and compliance risks often stall promising initiatives before they can create real value. That’s why I am so excited about our new partnership with Sentia. Together, we’ve launched a fully managed AI platform that removes these barriers and gives enterprises a secure, scalable, and compliant foundation for AI. By combining Sentia’s hybrid cloud expertise with 2021.AI's GRACE Platform, enterprises can: - Speed up time-to-production for AI projects - Apply AI safely even to sensitive data - Enable internal teams to focus on innovation instead of operations This is a great step forward for Sovereign AI — creating environments where enterprises can innovate with confidence, knowing their data and models remain secure, governed, and in a location they trust. Marius Jeppesen Kim Lars Jakobsen Casper Hansen Bjørn Olesen Ditte Stage Mikael M. #SovereignAI #ResponsibleAI #AIGovernance #HybridCloud #AIAdoption #Partnership