LineWise, the US-based AI-powered "virtual engineer" for manufacturers, has raised $1.1 million in pre-seed funding from A2D Ventures, Y Combinator, Exitfund, REMUS Capital, SBXi Fund, and Team Ignite Ventures. The funding will accelerate LineWise's mission to eliminate two of the most expensive problems in manufacturing: unplanned downtime and yield loss caused by defects.
Tackling Manufacturing's Twin Problems: Downtime and Defects
Factory stoppages can cost manufacturers over $100,000 per hour, with cascading effects across production and supply chains. At the same time, defective output on high-speed lines, such as can makers and packagers, creates massive hidden costs. Wrinkles, leakers, false seams, and misfeeds not only waste materials but also strain downstream processes and force costly rework. LineWise addresses both challenges by acting as a 24/7 AI engineer. Its multi-agent AI system is trained to think like seasoned process and maintenance engineers, ingesting sensor data, event logs, OEM manuals, and past fixes to provide rapid root-cause analysis and step-by-step defect troubleshooting guidance. The result: fewer line stoppages, faster recovery from issues like leaks or false seams, reduced rework, and higher yields, without waiting for senior engineers to manually sift through records.
Real-World Impact
Secured 5 paid pilots with large manufacturers, including NASDAQ-listed leaders across packaging, food & beverage, and consumer electronics.
Early deployments show measurable reductions in downtime and defect-driven yield loss, proving ROI within weeks.
A Founding Team Built for Industry 4.0
- Tanachart (James) Kujareevanich, CEO, MIT MBA; former McKinsey consultant with deep experience in fragile production systems.
- Zhichu Ren, CTO, MIT PhD; developed autonomous robotics for materials research.
- Wenbo Zhang, CPO, MSE in AI & Robotics (UPenn GRASP Lab
