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.

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.

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.