Manufacturing & Industrial
Predictive maintenance, quality inspection, and production planning powered by AI.
A single unplanned stoppage on the line costs more than most plants spend on software in a year, and by the time a machine visibly fails, the warning signs were usually there for days. Most maintenance schedules are still calendar-based, not condition-based.
How We Solve It
On the plant floor, a few hours of unplanned downtime costs more than most software budgets. We build predictive maintenance, quality inspection, and production planning systems that run against your real sensor and MES data, catching failures before they stop the line.
What We Build
Predictive Maintenance
Failure prediction from real sensor and machine telemetry, not a calendar.
Visual Quality Inspection
Automated defect detection integrated into the production line.
Bottleneck Detection
Identifies the line, shift, or machine actually constraining output.
Planning Optimization
BOM and production scheduling tuned to real capacity, not estimates.
How We Deploy It
Discover
We study your workflows, data, and systems to find where AI creates real leverage.
Design
We architect the models, agents, and integrations around your existing stack.
Deploy
The system ships into your environment — on-premises, cloud, or hybrid.
Operate
We monitor, retrain, and scale the solution as your business evolves.
See It In Action
Here's your Weekly Production Report (Feb 10–16, 2026):
Common Questions
How long does implementation take?
Predictive maintenance pilots on one line are typically live in 6-10 weeks, depending on existing sensor coverage.
Does this work with our MES/SCADA systems?
Yes, we integrate directly with your existing MES, SCADA, and sensor infrastructure.
What if we don't have much sensor data yet?
We can start with what you have and recommend a minimal sensor buildout to improve model accuracy over time.
Want this built for your Manufacturing operation?
Tell us about your workflows and we'll scope a tailored AI solution.