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Readings with a home
Cloud Services queues take meter and sensor data at volume; CosmoBase keeps it ready for analysis.
Energy, water and telecoms operators handle large volumes of readings and run heavy forecasting and planning work, often on infrastructure sized for the worst case. Compute bills machines by the second at 30% under the leading cloud for the same specification, so forecasting and analysis can run as often as the network needs rather than as often as the budget allows.
Used by regional operators, energy retailers, network businesses and national utilities.
What this looks like in practice
Cloud Services queues take meter and sensor data at volume; CosmoBase keeps it ready for analysis.
Run forecasting on large CPU or GPU instances by the second, at 30% under the leading cloud, and release them when done.
Analyse drone and field imagery on L40S and A100 instances, priced under the leading cloud on-demand for the same GPU.
Who changed what in code, configuration and access, retained and attributable.
Utilities collect far more data than they analyse, largely because analysis needs capacity that is expensive to keep standing. When capacity is hired by the second at a lower price, the data that has already been collected starts to earn its keep.
When weather turns, outage reports, customer notifications and revised forecasts all arrive at once. On Compute the capacity for that night is added by the second and released the next morning, at 30% under the leading cloud for the same machines. You are not paying all year for one night, and the record of what changed during it is kept.
Outage maps and notification services on Panel and Nexus, close to the customers checking them.
Inspection and condition models trained on GPU instances, run across the whole network rather than a sample.
Scheduling and job tools versioned in CodeGraph and shipped on an ordinary cadence.
Regulatory reports drawn from data that is already queryable, with the history to show how each figure was produced.
Compared with the leading cloud's own published on-demand prices, US East. Every comparison.
No. Control systems usually stay where they are. Compute takes the data, forecasting, analysis and customer-facing work that benefits from capacity on demand.
Residency, access records and separation are configured properties of your account. For any specific standard or attestation, ask us directly and we will tell you plainly whether we hold it today.
Readings arrive through Cloud Services queues and land in CosmoBase or object storage. Storage is priced on the pricing page; the 30% comparison applies to machines and databases, not storage.
No. A small retailer or community operator can start within the free allowances and pay by use. National operators run on the same platform and prices.
Run agents, the tools they call and the models behind them on one platform, billed by the token and the second, for less than the same work costs on the leading cloud.
Host the landing pages, attribution pipelines and onboarding flows that bring customers in, and spend less on the infrastructure than you would on the leading cloud.
Run campaign sites, personalisation, content pipelines and marketing data on one platform that costs less than the leading cloud for the same machines and models.
Run the forms, enrichment jobs, scoring models and routing that turn interest into leads, for less than the same infrastructure costs on the leading cloud.
Run CRMs, sales data, call analysis and AI assistants on one platform, priced under the leading cloud for the same machines, databases and models.
Host creator platforms, media processing, storefronts and AI tools on infrastructure that bills by the second and costs less than the leading cloud for the same machines.
Begin with one workload. Keep what you have running. Decide whether to continue once you have seen it carry something real.
No migration required to begin. Nothing to tear down if you stop.