EV manufacturing runs on a shift report. Catalyst runs on what the line is doing right now.
A computer-vision and analytics platform for EV manufacturing and mobility infrastructure — turning factory floors, logistics operations and smart infrastructure into one measurable, real-time system.
Attendance, production and quality checks read from the same interface — tap a marker to see what each one covers.

AI-Driven Attendance Tracking
Camera AnalyticsVisual Mapping & Production Monitoring
Assembly FlowVisual tracking of production lines to detect bottlenecks and optimize cycle times, instead of a clipboard walk-through at the end of a shift.
- Multi-line production flow read into one shared view
- Cycle time and throughput tracked per station
- Flags a bottleneck as it forms, not after the shift report
Quality & Compliance Automation
Sensor ValidationData-Driven Insights & Sustainability
Operational AnalyticsThis is the standard shape of a floor that runs on shift reports and spreadsheets, not a specific site.
Caught the moment it happens
The same camera or sensor watching the line flags a deviation instantly, instead of waiting for a shift report.
Checked continuously
The cameras and sensors already reading the line run every check on their own, not on a walk-through schedule.
One shared feed
Attendance, production and compliance all read from the same feed, so the numbers can’t quietly disagree.
Acted on this shift
Energy use and downtime show up as operational data right away, not three months late on a bill.
Each module reads from the same sensors and cameras, so attendance, production and compliance never quietly disagree with each other.
- AI-driven workforce attendance tracking using smart camera analytics on the factory floor.
- Automated visual mapping of production lines to detect bottlenecks and optimize workflow.
- Sensor- and camera-based quality and compliance validation against regulatory standards.
- Real-time operational analytics that reduce downtime and support data-driven decisions.
Industrial IoT sensors, IP cameras and OBD/CAN telemetry feed a hybrid edge-and-cloud pipeline — computer vision and ML models score quality and safety close to the line, Kafka streams the results, and role-based dashboards turn them into decisions factory, logistics and infrastructure teams can act on immediately.
Four tiers, one stack: what a sensor sees becomes a decision on a dashboard in the same pipeline.
The same platform, pointed at a different physical floor — from an EV production line to a cold-chain warehouse.
Industrial manufacturing
EV and component production lines, where attendance, production flow and quality checks all need one shared source of truth.
Life sciences & pharma
Regulated production environments where every check needs a continuous, auditable record, not a periodic walk-through.
Semiconductor & electronics
High-precision lines where a defect caught late is far more expensive than one caught at the station that made it.
Food & beverages
Throughput and hygiene checks that need to run as continuously as the line does, not on an inspector’s schedule.
Retail, CPG & FMCG
Distribution and packaging operations where visual tracking of flow replaces manual counts and radio check-ins.
Energy
Charging and energy infrastructure operators who need operational transparency without staffing a dedicated monitoring desk.
Live at app.catalystai.work — request a walkthrough of a real factory-floor deployment.
Production capabilities
- AI-driven workforce attendance tracking using smart camera analytics on the factory floor.
- Automated visual mapping of production lines to detect bottlenecks and optimize workflow.
- Sensor- and camera-based quality and compliance validation against regulatory standards.
- Real-time operational analytics that reduce downtime and support data-driven decisions.


