AI for Manufacturing
Downtime, defects and manual tracking are where factories lose money. We build the systems that stop it: computer vision on the line, IoT sensors on the machines, predictive maintenance before failures, and cloud platforms that keep production visible in real time.
- 100%
- uptime sustained 6+ months (Moment Track)
- 40%
- faster defect detection
- 35%
- infrastructure cost reduction
Delivered in production
Sound familiar?
Unplanned downtime that turns into missed shipments and penalty clauses
Manual quality inspection that misses defects and slows the line
Production data trapped in machines, spreadsheets and shift-change handovers
What we build for manufacturing
Predictive maintenance
IoT sensor data plus ML models that flag equipment issues before they cause downtime — not after.
Computer vision QA
Camera-based defect detection at line speed, on GPU-optimized infrastructure that scales with your camera fleet.
Real-time production tracking
Kafka-based pipelines and dashboards that show what every line is doing right now — no shift-change surprises.
Agentic operations
AI agents that watch telemetry, draft incident summaries and trigger workflows — with your operators approving actions.
Proven in production
100% Uptime and $132K Saved: Cloud-Native Re-Platform for Factory Automation
100%
Uptime sustained 6+ months
Read the Moment Track story →
Audit-Ready Food Safety Compliance with 24/7 IoT Cold-Chain Monitoring
24/7
Automated temperature monitoring
Read the OneClick story →
AI for Manufacturing — FAQs
Can you work with our existing machines and PLCs?
Yes. We integrate via IoT gateways and standard industrial protocols, adding sensors where machines lack them. You don't need to replace equipment to get real-time visibility.
How fast can we see value?
A 2-week Sprint typically produces a working prototype on one line or one machine class — real data, real dashboards. Full deployments usually take 2–4 months.
Does this require sending our production data to the cloud?
Not necessarily. We design edge-first architectures where sensitive processing stays on-site and only aggregated telemetry moves to the cloud — resilient to network drops.
What does a manufacturing AI project cost?
Prototypes from $7,500 fixed; production systems typically $24K–80K depending on lines, integrations and models. Fixed quotes before contract, always.
Ready to talk manufacturing?
Tell us the outcome you need. We’ll scope it, price it fixed, and deliver it — AI agents and senior engineers, one team.