Funding
Funding not disclosed
Founders
Product
Problem
Manufacturing lines in high‑stakes industries such as aerospace, medical devices, and automotive frequently experience quality defects caused by missed steps, mis‑installed components, or procedural deviations. These errors lead to costly rework, warranty claims, and safety incidents, consuming a significant portion of a company's revenue.
Solution
Self Eval provides an independent verification layer that operates alongside existing production equipment to monitor operations in real time. Using AI‑driven visual and sensor analysis, the system evaluates each step against defined quality standards and alerts operators instantly when a deviation is detected. The platform acts as a co‑pilot, offering step‑by‑step guidance to correct issues before they propagate downstream. All events are logged and aggregated into analytics dashboards, enabling continuous process improvement and compliance reporting without requiring major changes to the production line.
Target Audience
Primary customers are manufacturers of high‑value, safety‑critical products—particularly in aerospace, medical device, and automotive sectors—who need to reduce defect rates and improve line efficiency.
Features
- AI‑based computer‑vision and sensor fusion that inspects components and assembly actions on the fly
- Real‑time feedback interface that highlights errors and suggests corrective actions to the operator
- Seamless integration with existing PLCs, SCADA systems, and manufacturing execution software via standard APIs
- Automated incident logging and analytics dashboards for root‑cause analysis and quality metrics tracking
- Configurable rule engine allowing manufacturers to encode custom quality standards and tolerances
- Scalable cloud or edge deployment options to suit on‑site or remote monitoring requirements