Half of us have worked in casting or forging operations. The other half build computer vision and embedded systems. That combination drives the product.
Former quality engineering lead at an aluminum HPDC supplier to Tier 1 automotive customers. Led PPAP submissions, AIAG FMEA programs, and supplier quality audits for 9 years before co-founding ForgePuls. Cleveland native.
Computer vision researcher turned industrial engineer. Previously built defect detection systems for semiconductor wafer inspection at a MEMS manufacturer. Holds 3 patents in structured light measurement. MS in Electrical Engineering, Case Western Reserve University.
Embedded systems and industrial networking specialist. Spent 12 years building OPC-UA implementations and real-time control systems for press and injection molding applications before joining ForgePuls in early 2024.
Every ForgePuls engineer spends time at customer sites during installation and the first production weeks. We don't build systems from conference rooms. The detection models improve because our engineers see the edge cases firsthand - the lighting conditions, the surface finish variations, the thermal gradients that only appear at shift change.
We release model updates on a 3-week cadence. Each release is tested against a held-out set of labeled parts from active production deployments. A model update that doesn't improve at least one customer's detection rate doesn't ship.