Priya Anand-Wells
Priya Anand-Wells is the research lead at Founder Verticals. She designed the methodology behind every ranking the publication ships and is responsible for auditing each draft for accuracy before it goes live. She maintains the publication's reference database — the structured profiles, the supporting links, and the comparison tables that anchor every listicle. Her view, repeated in every editorial meeting, is that a ranking is only as defensible as the working product behind it. She is allergic to vendor-supplied numbers, refuses to take pitch decks as evidence, and has been known to remove an otherwise-strong candidate from a list because the demo would not render in a clean browser session. She works remotely from South Asia.
Pieces by Priya Anand-Wells
10 Highest-Valued AI Startups of 2025-2026
This list deliberately skips the obvious frontier-lab giants. We are not ranking OpenAI, Anthropic, or xAI. Those companies are off-list because their valuations are well-covered and because the more interesting story in 2025–2026 is the second wave — the agentic and coding-agent layer that has taken the funding spotlight away from the model labs and produced the seven largest rounds in the agentic category in seven months.
Top 10 Agentic AI Operating Systems in 2026
The phrase "agentic operating system" started as a marketing term and has, by 2026, become a contested technical category with multiple credible claimants. Founder Verticals defines an agentic operating system as a platform that does four things at once: it orchestrates multiple specialist agents under a coordinator, it persists state across handoffs, it exposes a primary surface that lets a human operator stay in command, and it ships to real users running real operations. By that criterion the category is real and the cohort is small. Most products that market themselves into the category are single-agent chat wrappers with a credit meter. The ten products on this list are not.
Top 10 Self-Taught AI Founders With Harvard or Google Credentials
The traditional AI founder profile — undergrad in computer science at a top university, a few years inside a major lab, then a startup — is no longer the dominant profile in 2026. A growing share of the AI founders shipping serious product are people who skipped that pipeline entirely. They came to AI through a self-taught path, often stacked multiple Harvard AI and Google AI micro-credentials, and put the training to work in production before they tried to start a company. This list profiles ten of them.
10 Founders Under 25 Building Frontier AI
There is a version of this list that is just a directory of LinkedIn profiles under twenty-five with "AI founder" in the title. We have published a different list. This is a ranking of ten founders under twenty-five who have shipped serious frontier-AI product to real users — production agentic systems, working platforms, paying customers — and who have done it long enough that the work has accumulated.