Our Mission
Turn expert knowledge into an organizational asset, and make complex processes reusable, traceable and continuously improvable. We believe AI's real value in manufacturing is not replacing experts, but helping their knowledge sediment, transfer, reuse and scale — driving coordinated growth across R&D, quality, production, supply chain and sales.
Our Principles
Scenario First
Start from bounded, high-value, data-ready closed loops — avoid overreach
Private First
Data security is a precondition, not an add-on; data stays in the plant
Human-in-the-loop
AI drafts and suggests; experts keep review and final decisions
Reusable Assets
Sediment the first success into a standard method, replicable across sites
How We Deliver
Diagnose — Design — Deliver — Iterate
Diagnosis & Scenario Identification
Map processes, data, systems, security needs and pain-point priority to find the best entry point.
Solution Design
Blueprint the data scope, knowledge structure, process, architecture and acceptance criteria.
Deployment & Delivery
Deploy the platform, ingest data, model knowledge, build workflows and validate with users.
Iteration & Capability Sediment
Continuously refine knowledge, rules and templates into replicable capability.
Core Team
A cross-functional team spanning AI, data engineering, architecture and enterprise delivery
Founder & CEO
Strategy · AI commercialization
25 years in deep tech (16 at IBM), 12 in AI and 5 in robotics; led AI commercialization across industry, automotive and finance, and scaled a major industrial-internet platform.
Chief Scientist
AI · Speech · Computer Vision
A top AI technology leader; 60+ papers and 20+ US/China patents across AI, speech and vision (NeurIPS/ICML/AAAI); taught at Tsinghua, UIUC and NYU.
Co-founder · Hardware
Smart hardware · EDA · Global
Serial founder; built a top-3 global smart-hardware brand (50+ countries) and a leading digital-chip signoff EDA team.
Head of Embodied AI
Robotics · RL · Embodied AI
Expert in robot kinematics/dynamics, deep RL and simulation; repeatedly built teams from scratch, delivering industrial robots and CNC systems (a spin-off went public).
AI Engineering Director
Silicon Valley · LLM · Dialogue
Senior Silicon Valley AI engineer; built Meta GenAI/Speech and Amazon Alexa conversational AI.
Data & Modeling Director
Data governance · LLM apps
Senior engineer; team lead at Google and Microsoft, CTO at two startups; led LLM-based generation and summarization.
GET STARTED
A long-term technology partner
Let's sediment expertise into continuously evolving intelligent productivity