Industries
Typical timeline 8–14 weeks to first production release
Manufacturing software fails when it assumes a clean network, a single source of truth and an operator with time to retry. Machine data arrives late, out of order, or not at all. The ERP is authoritative for some fields and wrong for others. A migration that requires downtime is a migration that never happens, because the line does not stop.
Ingestion that tolerates late and duplicate machine data. Scheduling and traceability on top of an ERP you are not replacing. Reporting that reconciles to the numbers the plant manager already trusts, so adoption is not a fight.
Software you can inspect, and work we can describe.
a Central European component manufacturer
Line telemetry was written straight into the reporting tables. Duplicate messages inflated output figures, and a network drop left gaps nobody noticed until a plant manager questioned a shift total.
Read more →We would rather tell you this now than three months in.
| Dimension | Building it | When Manufacturing SaaS works |
|---|---|---|
| Fit to your process | Built around how you actually work, including the parts that are unusual. | Fits if your process is close to the industry norm — and many are. |
| Time to first value | Weeks. Nothing works until the first release. | Days. This is the real advantage, and it is a big one. |
| Ongoing cost | You own the code and pay to maintain it. | Per-seat forever, but somebody else carries the maintenance. |
| Integrations | Whatever you need, including the internal system nobody else has. | Whatever the vendor supports. Check before you commit. |
| When it breaks | You decide the priority, because it is your team. | You file a ticket and wait with everyone else. |
| Leaving | The code and the data are yours. | Export what the vendor lets you export. |
No, and we would argue against it. We build alongside it and treat it as the system of record for the fields it owns.
If it speaks OPC-UA, MQTT, Modbus or writes a file, yes. The hard part is rarely the protocol — it is handling data that arrives twice, late, or with a clock that drifted.
$ tell us what you're building and where it's stuck
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