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CLOSED · LOOP · 183C ·

The knowledge exists. It's time it worked.

A secure AI knowledge assistant for enterprises that can't afford to expose their data — or waste another hour searching for it.

We build on-premise AI that turns scattered internal knowledge into instant, private answers, so enterprises never have to choose between intelligence and security.

The people behind Closed Loop

William L Tao
William L Tao
Applied Mathematics & CS
Award-winning AI PM and full-stack developer. Built two AI products from 0 to 1 at a Fortune 300 company. Firsthand experience with internal AI assistants integrated with company docs.
Bella Koosh
Bella Koosh
Enterprise Adoption
Navigates long enterprise adoption cycles, aligns cross-functional stakeholders, manages procurement workflows, and drives implementation despite organizational resistance.
Onalin (Belle) Prempojwatana
Onalin (Belle) Prempojwatana
Entrepreneurship & Innovation
Product manager at Achieva Thailand with a startup background in operations and management. Experienced the knowledge fragmentation problem firsthand through her parent's company.
Orlando Hernandez
Orlando Hernandez
Data Science
Background in enterprise utility operations — accounting workflows, data validation, and fragmented internal systems. Encountered this problem firsthand at an electrical company.
Mike Xianzhi Liu
Mike Xianzhi Liu
Full-Stack & ML Engineering
8 years of CS and algorithms, 3 years full-stack in AWS and GCP, ML training in computer vision, and product design at Berkeley Skydeck with Ochy AI.

Built by people who've lived the problem

Access

Direct connections to enterprises across six countries experiencing this problem daily.

Technical Depth

Two full-stack developers with production AI systems and algorithm expertise.

Enterprise DNA

Combined startup speed with enterprise trust-building and procurement experience.

Let's build the future of enterprise AI.

x.tao@berkeley.edu
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