Rob May
Co-founder and CEO of NeuroMetric AI
Bio Info
Rob May is the Co-Founder and CEO of NeuroMetric AI, a pioneering company optimizing inference for multi-model AI systems. NeuroMetric helps organizations improve performance and cost efficiency by intelligently orchestrating inference-time compute — from Chain of Thought to Best-of-N and beyond.
A serial entrepreneur, Rob has founded and scaled multiple successful companies including Backupify, Talla, Dianthus, and BrandGuard, with exits and partnerships across the SaaS, automation, and AI sectors. He’s also an active angel investor with over 100 portfolio companies and brings firsthand insight into the evolution of AI entrepreneurship — from early infrastructure to intelligent reasoning systems.
Rob’s expertise lies at the intersection of AI research, applied inference, and startup strategy. He’s passionate about helping leaders understand how AI is changing not just products, but entire business models — and how to invest, build, and compete in an era defined by intelligent computation.
He is also the Co-Host of The AI in NYC Show, where he discusses the latest breakthroughs in AI infrastructure and reasoning with top founders, investors, and researchers.
Rob's Podcast
Inference Time Tactics
A podcast exploring the emerging field of inference-time compute—the next frontier in AI performance. Hosted by the Neurometric team, we unpack how models reason, make decisions, and perform at runtime. For developers, researchers, and operators building AI infrastructure.
AI in NYC Show
AI In NYC interviews technical leaders, investors, and business executives about the impact AI is having on the greatest city in the world. If you are a New Yorker, or just love AI and are looking to understand how AI will impact your world, please subscribe.
Previous Interviews
The aSaaSins Podcast
Automation and AI in the enterprise with Rob May, Cofounder and CTO of Dianthus
IT Visionaries
The Ever-Evolving World of A.I. with Talla CEO Rob May
Experiencing Data with Brian T. O’Neill
037 – A VC Perspective on AI and Building New Businesses Using Machine Intelligence featuring Rob May of PJC
Artificial Intelligence and You
044 - Guest: Rob May, AI Angel Investor, part 1
Midas Letter
Talla CEO Rob May on “Creating Digital Workers” with AI
The VentureFizz Podcast
Episode 255: Rob May - Founder & CTO, Dianthus
AI and the Future of Work
Rob May, venture partner at PJC and serial AI entrepreneur, shares what's holding back AI adoption in the enterprise
Finding Genius Podcast
Rob May – Co-Founder and CEO at Talla and Botchain – Compliant AI
AI in Enterprise
AI in Enterprise: Rob May (InsideAI)
This Week in Startups
E746: Talla CEO Rob May on using A.I. & machine learning to automate HR & IT, the power of bots, the future of jobs, & the age of verticalized A.I.
Software Engineering Daily
Technically Sentient with Rob May
Bounce! Conversations with Larry Weeks
EP.29: WORKING WITH A.I. : ROB MAY ON THE HYPE AND REALITY OF ARTIFICIAL INTELLIGENCE
Topic Suggestions
The Hidden Layer of AI: Why Inference Time Is the New Frontier
Most of the AI world talks about training — but inference is where real-time intelligence, cost, and accuracy collide. Rob breaks down why inference-time compute is the next trillion-dollar problem.
From Backupify to NeuroMetric: Lessons from Building and Backing 100+ Startups
What Rob’s seen across a decade of AI entrepreneurship — and how the best founders navigate hype cycles and build enduring value.
Smarter Systems, Not Bigger Models
Why the next wave of AI innovation won’t come from scaling models, but from orchestrating how we use them — and what that means for founders and investors.
Investing in Intelligence: The Future of AI Infrastructure and Venture Capital
How inference, orchestration, and reasoning frameworks are reshaping what smart VCs are betting on next.
The AI Efficiency Crisis: What Businesses Are Missing About Cost and Latency
How optimizing inference pipelines can cut costs, improve response times, and reshape how enterprises deploy AI.
AI and the Future of Media: Trust, Personalization, and Intelligent Distribution
How inference frameworks will redefine recommendation, content generation, and the economics of attention.
AI in the Boardroom: What Every Executive Needs to Know About Reasoning Systems
A guide for CEOs, CFOs, and CTOs on making strategic AI decisions — without getting lost in the technical noise.
The Philosophy of AI Systems: Building Machines That Think, Not Just Predict
A big-picture discussion about reasoning, cognition, and how programmable intelligence will evolve in the next decade.
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