the first enterprise AI workforce that learns, remembers, and executes
Current Status
$120K+ ARR run-rate and growing; $350K raised; $2.4M+ qualified ARR sales pipeline. Live in production with a California law firm. One enterprise ≈ $3M ARR equivalent in qualified sales pipeline — first scalable unit economics in professional services. Born March 27, 2026 from an internal AI employee that completed 60+ development cycles, some fully autonomous.
Problem or Opportunity
Expert labor is expensive and unscalable. Skilled professionals bill hundreds per hour, so enterprises can't scale without costly headcount and huge volumes of routine knowledge work go unmet. Existing enterprise software only digitizes work — it still requires people to do all the thinking. And today's AI chatbots can't replace skilled professional work: they have no real memory, can't learn a company's preferences, forget everything between sessions, and need constant hand-holding.
Solution (product or service)
Prest0 builds the first enterprise AI workforce — persistent AI employees that operate 24/7. They execute work across enterprise systems via computer-use and thousands of integrations (ready out of the box), learn company processes, and remember organizational knowledge with agentic memory at scale. Not software that digitizes work — a workforce that does it.
Business model
Per-enterprise subscription. Each enterprise ≈ $500K–$700K conservatively estimated ARR, with revenue expanding as the customer adds more work to the platform. TAM: $560B+ market, ~$33B addressable revenue. Currently raising $2.35M on a post-money SAFE at $20M post-money valuation, $200K minimum check, on track for oversubscription.
Incubation/Acceleration programs accomplishment
Y-Combinator (advisor), Beta University, General Lithium HQ startup program and community, GSD Venture Studio Superscalar Program
