In-line quality inspection
Pass and fail logic per part, captured at the cell while the part is still in hand.
Manufacturing and industrial IoT
Manufacturing software from the cell to the ERP
In-line quality checks, machine telemetry and the platform underneath both. We have built a self-hosted IoT platform a client owns outright.
100%Of the platform owned by the client
3Deployment modes: on-premise, private cloud, hybrid
40+Developers on staff
12+Years average leadership experience
What this is
The check and the machine are the same problem
A quality check produces a record somebody audits later. A machine produces a reading somebody acts on now. Both fail in the same place, which is the handover into the system that already runs the plant.
Ownership beats convenience
A platform you host is a platform nobody can reprice. We built one on an open-source base so the client owns every device, dashboard and record.
Integration is the project
ERP, CMMS and SCADA are where the value lands. Treating them as phase two is how pilots stay pilots.
Services
What we build for manufacturers
Non-conformance and corrective action
The trail from a failed part to the action taken, in a form an auditor can follow.
Machine and sensor telemetry
Ingest, storage and alerting for readings that arrive faster than a request cycle tolerates.
White-label IoT platforms
Multi-tenant, self-hosted, and carrying your brand.
ERP, CMMS and SCADA integration
The result has to reach the system the plant already runs on.
Vision checks
Defect and presence detection where the defect is visible and the image volume justifies a model.
Standards
What the quality record has to satisfy
These decide the data model long before anyone argues about dashboards.
ISO 9001:2015 clause 8.5.1Control of production, including the measurements and monitoring that prove the output met requirements.
ISO 9001:2015 clause 9.1Monitoring, measurement, analysis and evaluation. The part that asks what you did with the data.
Customer quality packsPPAP and similar submissions pull evidence from months of production. Assemble it continuously or spend a fortnight on it.
TraceabilityA part, a batch, a machine and an operator, tied to one record. Retrofitting this after an incident is expensive.
Case study
A platform the client owns outright
Industrial IoT
IoT Core Engine
The client wanted off third-party IoT SaaS without losing the enterprise features their own customers expected. We built a self-hosted, white-labelled platform on an open-source base, with role-based access, single sign-on and reporting built in, features SaaS vendors usually keep for the top tier.
Self-hostedOn-premise, private cloud or hybrid
Who we build for
The manufacturers who call us
Discrete manufacturers
Plants where a quality check has to happen at the cell and still reach the quality office.
Equipment and machine builders
Makers who want the monitoring platform shipped under their own brand.
Industrial IoT product teams
Companies tired of paying a SaaS vendor for features they could own.
Operations and maintenance teams
Where the CMMS is the system of record and everything has to feed it.
Related reading: manufacturing inspection software, IoT in manufacturing and AI vision quality control.
FAQs
What buyers ask first
Can you work with our existing SCADA or MES?
Usually yes. We treat the integration as the first scope item, because a platform that does not reach the systems you run is a second system to maintain.
Do we have to host it ourselves?
No, but you can. The platform we built runs on-premise, in a private cloud or hybrid, and the client owns the whole stack.
Is computer vision worth it for our line?
Only where the defect is visible and there are enough images to train on. For a threshold check, a rule is cheaper and easier to defend.
Who owns the code and the cloud accounts?
You do, from the first commit. Repositories and cloud accounts stay in your name.
Send us one quality check
Thirty minutes with the engineers on the check your line runs now and the system the result has to reach.