Systems that live on the line, not in a dashboard.
Predictive maintenance, quality vision, and OEE-lifting systems that live on the line, not in the dashboard.
- Downtime reduction
- 34%Downtime reduction
- False-positive rate
- 9%False-positive rate
- Production lines monitored
- 47Production lines monitored
Unplanned downtime is the most expensive number on the floor.
A single hour of unplanned downtime on a high-throughput line can cost six figures. The telemetry to predict most of those failures already exists in your historian — it is simply never modeled, because the data is messy, the labels are sparse, and the plant team has no reason to trust a model that cries wolf.
- Downtime reduction
- 34%
- Production lines monitored
- 47
What makes manufacturing different.
Every sector has constraints that decide whether a system reaches production. These are the ones we design around from day one.
Operators ignore alerts that are usually wrong
How we handle it: We tune explicitly for precision on the floor. A model with a 9% false-positive rate gets acted on; one at 40% gets muted within a month.
OT networks are air-gapped
How we handle it: Inference runs at the edge inside the OT boundary, with only aggregated telemetry crossing into IT.
Failure labels are sparse and inconsistent
How we handle it: We reconstruct labels from maintenance records and operator logs, then validate them with the reliability team before training.
Every plant is configured differently
How we handle it: Models are trained per asset class with plant-level calibration, so a rollout to line twelve does not need a rebuild.
Where we typically start.
Ranked by the ratio of value to time-to-first-deployment in this sector.
Predictive maintenance
Multimodal failure forecasting from SCADA telemetry, vibration sensors, and floor cameras with a usable lead time.
Quality vision
Inline defect detection with severity classification and automatic sampling of uncertain cases for human grading.
OEE analytics
Availability, performance, and quality decomposed automatically, with the driver behind each shift-over-shift change named.
Field service copilots
Technicians get procedure retrieval, parts lookup, and guided diagnostics on a tablet, grounded in your service manuals.
Supply & inventory forecasting
Component demand forecasting that reconciles across plant, SKU, and supplier lead-time constraints.
Energy optimization
Load-shifting recommendations that respect production schedules and tariff structures across sites.
Frameworks we work within.
We produce the control documentation and audit evidence as a delivery artifact, not as a follow-up project.
- ISO 27001
- IEC 62443
- SOC 2 Type II
- ITAR-ready
Proof from a comparable deployment.
Predicting equipment failure 72 hours out
Vertex Manufacturing
False-positive rate dropped to 9%, downtime reduced 34%, and OEE improved by 6 percentage points.
Read the full case study- False-positive rate
- 9%False-positive rate
- Downtime reduction
- 34%Downtime reduction
- OEE lift
- +6 ptsOEE lift
Capabilities we apply most in manufacturing.
Thirty minutes on what is working in your sector.
A senior engineer and a strategist who have shipped in this domain. Bring your constraints — we will tell you honestly what is realistic.