Case studies
Manufacturing
Manufacturing – EV Battery Pack Assembler: Line Balancing & Safety Interlock AI
Timeline: Build: 13 weeks. Deploy: dual shift. Optimization: 12 weeks OEM spec updates.
Business overview
Industry: EV battery assembly. Complexity: OEM traceability mandates.
Common pain points
Siloed data, late defect discovery, serialization risk.
Full AI automation system (PrimeAxiom solution)
Vision Agent, Telemetry Agent, Serialization Agent, Containment Agent.
Automation workflow (detailed system flow)
1. Station signals. 2. AI inspects welds. 3. Torque/thermal join. 4. Serial validation. 5. OEM label print. 6. Exception hold. 7. Analytics to engineering.
AI agents & logic
Inspect Agent, Correlation Agent, Serial Agent.
Technical architecture
Edge vision, historian taps, strict schemas for OEM.
Tools & integrations
PLC data historian, MES, PostgreSQL, OpenAI, vision models
Results
Customer-reported defects −62%; line stoppage diagnosis time −57%; serialization errors −94%; rework hours −48%.
Timeline
Build: 13 weeks. Deploy: dual shift. Optimization: 12 weeks OEM spec updates.