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.