The experience behind North Point Intelligence's advisory practice.
November 8, 2024
North Point Intelligence is Thomas Ott’s answer to a simple problem: most AI advice for founders comes from people who’ve never had to make a real system work under real constraints, budget, timeline, compliance, or all three at once. Thomas has spent 34 years doing exactly that, and North Point Intelligence exists to put that discipline in the room for early-stage founders building in AI and technology.
That 34 years breaks down into two halves that don’t usually come from the same person: 12+ years leading AI/ML initiatives at scale, and 22 years as a licensed Professional Engineer running complex programs. Along the way, Thomas built and managed AI revenue pipelines exceeding $9.6M, co-piloted NVIDIA AI Factory engagements, closed major federal and corporate deals, and authored repeatable prompting and enablement methodologies used across field teams. It’s the kind of track record that doesn’t come from a weekend spent experimenting with prompts.
That rare combination (deep technical depth across the AI/LLM stack, executive go-to-market leadership, and the systems-engineering discipline of a licensed PE) is exactly what founders get from an advisory engagement: enterprise-grade judgment, at the stage where it changes the trajectory.
For the full professional history, roles, and credentials, see Thomas Ott’s résumé on LinkedIn.
Every engagement runs on the same discipline Thomas brought to complex engineering programs: clear ownership (who’s accountable for what), defined governance, and honest risk management from day one, not bolted on after something breaks. For founders, that means pressure-testing decisions around data strategy, architecture, and go-to-market before they harden into technical debt or a stalled sales motion, and staying engaged through the inflection points where the right call actually matters.
North Point Intelligence works exclusively with pre-seed through Series B startups in AI and technology, on a selective, equity-based basis. Learn more about the advisory practice and how engagements are structured.
Thomas also writes From the Desk of Thomas Ott, a newsletter on practical AI adoption.
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