Quality and safety vision
Detect line defects, process deviations, and PPE risks with evidence linked to the relevant operating context.
Earlier intervention with fewer manual monitoring gaps
Explore the solutionManufacturing
AI that helps the line see trouble before it becomes downtime.
Swarm connects visual signals, production history, work orders, specifications, and supplier documents so plant teams can detect deviations earlier and respond with the right evidence.
Manufacturing operating brief
In productionPlant operations · live
- 01Line and quality signals monitoredWatching
- 02Deviation context assembledExplained
- 03Corrective action assignedReady
Connected systems
- MES
- ERP
- QMS
- CMMS
- SCADA
- CCTV
Deeply trusted by enterprises globally
Catch quality drift earlier
Use visual and production signals to surface defects and deviations before they move deeper into the process.
Clean the supplier data
Read orders, invoices, certificates, and specifications, then route only mismatches and incomplete files to people.
Guide the response at the line
Connect each alert to its work order, standard, history, and accountable next action.
Most plants can see the alert. Fewer can connect it to the decision.
A defect, safety risk, material gap, or process deviation is useful only when the plant can explain it, assign it, and preserve the evidence. Swarm connects that operating sequence instead of adding another isolated model.
The documents in scope
- Work orders
- Production records
- Supplier invoices
- Certificates of analysis
- Specifications
- Inspection reports
- Maintenance logs
- Camera events
The manufacturing operating loop
Monitor the line. Explain the deviation. Guide the response.
The model is one part of the system. The operating value comes from joining the signal to specifications, production context, human control, and a completed action.
Workflow sequenceControls visible
- 01
Watch the line continuously
WatchingDetect defects, PPE risks, material gaps, and process drift across cameras, machines, and production systems.
- 02
Explain the deviation
ExplainedConnect the event to specifications, work orders, supplier records, and production history before it reaches the team.
- 03
Guide corrective action
AssignedCreate the inspection, route the exception, and preserve the evidence for quality, safety, or maintenance review.
The loop runs through
- MES
- ERP
- QMS
- CMMS
- SCADA
- CCTV
Four production loops worth connecting
Start where earlier detection and faster, better-contextualized action can change throughput or risk.
Supplier and quality document intelligence
Read orders, invoices, certificates, and specifications, then surface mismatches and missing evidence.
Cleaner records and faster exception handling
Explore the solutionProduction and material forecasting
Combine demand, material, maintenance, and throughput signals to identify risk before the line is constrained.
Earlier planning around capacity and material risk
Explore the solutionMaintenance and field coordination
Prioritize inspections and corrective work against asset state, severity, location, and service requirements.
Decision-ready work with explicit ownership
From operating constraint to production system
01
Map the operating loop
We trace the signal, decision, handoff, and system update before choosing where AI belongs.
02
Build around your controls
Senior engineers connect the models, business rules, approvals, and systems your team already uses.
03
Run and improve it
We monitor outcomes, handle exceptions, and keep the workflow useful as the operation changes.
What production requires
Built for the real operating environment
Human control where it matters
Approvals, thresholds, and escalation paths stay explicit instead of disappearing inside the model.
Connected to systems of record
The workflow reads and writes to the tools that already run the operation, with a traceable audit trail.
One team accountable for the loop
Swarm designs, deploys, and improves the system so it does not become another stranded pilot.