Energy & industrial

Industrial data breaks the assumptions most platforms are built on. Equipment drops off the network, clocks drift apart, different machines run different firmware, and the plant keeps producing whether or not the data pipeline is healthy. Readings turning up hours late is normal here, not an emergency. We build for that: writes that cannot double-count the same reading however many times it arrives, a clear distinction between data that is late and data that is genuinely missing, and storage arranged so a decade of history stays searchable without paying to keep a decade of it instantly available. Where readings drive decisions rather than dashboards, how fresh they are is stated explicitly and monitored in its own right. The operational boundary is respected. Plant systems and office systems stay separated by design, one-way where safety requires it, and nothing we build assumes an engineer can reach a machine over the network. Typical engagements: collecting data from equipment fleets, time-series platform work, the data foundations for predictive maintenance, and modernising a historian that has outgrown its licence.