Sector
Energy & industrial
Telemetry at volume from equipment that does not stop, feeding control and analytics systems where late data is often worse than missing data.
The detail
Industrial telemetry breaks the assumptions most data platforms are built on. Devices are intermittently connected, clocks drift, firmware versions differ across a fleet, and the plant keeps producing whether or not the pipeline is healthy. Backfill is normal rather than exceptional.
We build ingest that expects this: idempotent writes keyed on device and source timestamp, watermarking that distinguishes late from missing, and storage tiered so that a decade of history stays queryable without keeping a decade of history hot. Where the data feeds control decisions rather than dashboards, the freshness guarantee is stated explicitly and monitored as a first-class signal.
The operational boundary is respected. OT and IT are kept separate by design, with a one-way path where that is what safety requires, and nothing we build assumes an engineer can reach a device over the network.
Typical engagements: fleet telemetry ingest, time-series platform work, predictive maintenance data foundations, and modernising a historian that has outgrown its licence model.