Current Team

A technical team built to make AI reliable in the real world.

A team of 10+ people across mathematics and software engineering, led by founders who have shipped automation into production environments.

Standardized portrait of Chang Li

Chang Li

Co-founder, B2B Software Deployment

Chang has led B2B software and workflow automation deployments across 100+ SMEs and enterprise brands, including La-Z-Boy and Ashley Furniture. He brings a practical operator’s lens to turning software from “nice demo” into systems teams actually use.

Standardized portrait of Owen Lu

Owen Lu

Co-founder, AI Systems Implementation

Owen brings a decade of experience across automation, AI, and mission-critical systems, including patented aerospace work connected to Boeing, Sikorsky, and McLaren F1. His focus is building reliable AI systems where consistency, accuracy, and real-world execution matter.

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Proactive agent experience

Millie moves beforework slips.

Millie stays close to the workstream, spots drift early, prepares the next action, and only pulls in approval when judgment is required.

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Agentic forward deployment

Millie adapts around the client’s operating context.

Millie is deployed inside the client’s operating context: tied into the right data, tuned to approval paths, and shaped into surfaces the team can use without starting from an empty tool.

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Autonomous learning loop

Loop engineering compounds agent quality.

Each run feeds the next one: outcomes are reviewed, useful context is captured, playbooks are updated, and future agent actions get sharper without manual retraining.