We built the AI platform we wished existed
Enterprise AI shouldn't require a PhD, a 12-month implementation, or a leap of faith. We built aota.ai to make intelligent automation accessible, auditable, and production-ready from day one.
Intelligence infrastructure for the world's most important organizations
The gap between AI's potential and enterprise reality is enormous. Most platforms are either too experimental for production or too rigid to adapt. aota.ai exists to close that gap — delivering the reliability enterprises demand with the intelligence modern teams need to stay ahead.
Principles that guide every decision
Auditability first
Every automated decision is logged, explainable, and reversible. Enterprise AI must be trustworthy before it can be transformative.
Built for operators
We design for the engineers and operators who run production systems — not for demos. Reliability, observability, and control are non-negotiable.
Security is architecture
We don't bolt on compliance after the fact. SOC 2, GDPR, HIPAA, and FedRAMP requirements are baked into the platform from the ground up.
Honest about limitations
AI has real constraints. We tell customers what the platform can and can't do — and we invest in closing the gaps that matter most.
Built by enterprise veterans
Our team has spent decades building and scaling infrastructure at the world's largest technology companies.
Marcus Webb
Co-founder & CEO
Previously VP of Engineering at Axiom Corp. 15 years building distributed systems at scale.
Dr. Priya Nair
Co-founder & CTO
Former Principal Scientist at a leading AI research lab. PhD in Machine Learning from MIT.
James Okafor
Chief Revenue Officer
20 years in enterprise software sales. Previously led global sales at two Fortune 500 SaaS companies.
Sofia Reyes
VP of Product
Former product lead at a major cloud provider. Obsessed with making complex systems feel simple.
Join the team building the future of enterprise AI
We're hiring across engineering, product, and go-to-market. Remote-first, globally distributed.