Co-founder & CEO, Shelf • Knowledge management lifer • New York
Twenty years chasing one stubborn question: how do you connect a question to its answer, fast? He started in the Peace Corps. He's ending up rewiring how enterprises trust their own data.
Most founder stories open in a dorm room or a garage. Perrotta's opens in the Peace Corps. In 2002 he was running workshops on financial literacy and entrepreneurship - teaching people, in effect, how to organize what they knew well enough to act on it. It's a strange first chapter for a software CEO, and also a suspiciously perfect one. The job was knowledge transfer before he had a word for it.
He'd come out of Georgetown with a degree in new and small business management, and later spent two semesters in MIT's New Enterprise Program. By 2007 he was at Neuron Global, an on-demand global intelligence firm with offices stretching from the Philippines to Washington to New York, where he ran products and eventually served as president.
It was at Neuron and then Shelf that the through-line hardened. He found himself running knowledge management projects for the kind of institutions that drown in documents: the World Bank, Harvard Business School, MIT, Stanford. These are organizations where the cost of not finding the right answer is measured in millions and reputations. He spent a decade applying machine learning and natural-language processing to their content piles - quietly, years before the rest of the world decided AI was interesting.
Around 2015, the consulting work became a company. Perrotta co-founded Shelf with Tobias Jaeckel, who runs technology, and Colin Kennedy. Inside the platform sits an engine they call MerlinAI - a name that tells you exactly how the founders think about the problem. Pulling the one correct paragraph out of a corporate content swamp can feel like sorcery. They decided to bottle it.
The early Shelf went after contact centers, the most acute version of the pain: thousands of agents, millions of queries, every second of handle time a line item. Perrotta wrote, often, in those years - for Fast Company, Forbes, CIOReview, eContent Magazine - making the case that knowledge management was about to matter more, not less. He mentored at the Founder Institute. He was, in the language of the trade, a thought leader before there was much of a market to lead.
Connect questions to answers as quickly and easily as possible. Everything else - the AI, the cleansing, the connectors - is in service of that sentence.
The promise of KM is straightforward; to connect questions to answers as quickly and easily as possible.— Sedarius Perrotta
Shelf's headline claim, drawn straight: the time it takes a customer-service rep to surface a trustworthy answer, before and after.
Studies peg the time knowledge workers spend just hunting for information at roughly 19% of the work week - the better part of a full day. Perrotta built a company to claw that day back.
An 86% cut to answer time isn't a UX nicety at contact-center scale. It's the entire business case.
With the remote distributed workplace now mainstream and an unprecedented volume of company content available on a growing number of cloud solutions, the need to quickly access answers within that information has never been greater.— Sedarius Perrotta, on Shelf's Series B
His first "product" wasn't software. It was teaching financial literacy abroad - knowledge transfer before he had a market for it.
Most founders pivot. Perrotta picked one problem - findable, trustworthy knowledge - and has stayed on it for two decades.
While the world fell in love with bigger models, he kept arguing the bottleneck was the data. The market eventually agreed.
World Bank, Harvard, MIT, Stanford - he cut his teeth on the most document-drowned organizations on earth.
He called the engine MerlinAI. When your job is conjuring the right paragraph from chaos, the wizard metaphor writes itself.
Among Shelf's backers: the founders of Datto and Procore - operators who know the unsexy-infrastructure playbook cold.
The destination Perrotta keeps describing is one where organizational knowledge is instantly findable and inherently trustworthy - where the answer arrives in seconds and you don't have to wonder whether it's stale. As AI eats more of the workflow, that goal quietly mutates from "nice search experience" into "the thing that decides whether your AI can be trusted at all."
It's a patient bet on an unsexy layer of the stack: the plumbing beneath the chatbots. The companies that win there rarely make magazine covers. They make the cover possible for everyone else. Perrotta seems entirely content with that.