Delphi Cloud

Cloud Infrastructure for Energy & Heavy Industry

Monitor thousands of sensors, run simulations, and build predictive maintenance systems on cloud infrastructure designed for industrial scale.

Industrial IoT monitoring

Ingest data from tens of thousands of sensors across your facilities in real time. Managed message queues and time-series databases handle the throughput so your dashboards stay current.

IoT Core

Digital twins and predictive maintenance

Build digital replicas of your equipment and production lines. Use real-time sensor data and ML models to predict failures before they happen, reducing unplanned downtime.

Compute Cloud

Energy data analytics

Process terabytes of sensor data into actionable insights. Build dashboards for production KPIs, energy output forecasting, and regulatory compliance reporting.

DataLens

Scalable compute for simulations

Run reservoir simulations, geophysical models, and engineering calculations on GPU-accelerated VMs. Scale up for batch jobs and scale down when idle — pay only for what you use.

Compute Cloud

Secure data storage

Store engineering drawings, GIS files, and operational data in encrypted cloud storage. Role-based access controls and audit logs keep your sensitive data protected.

Object Storage

Voice assistants for operations

Give field workers hands-free access to information. Build voice assistants using speech recognition and synthesis that work in noisy industrial environments.

SpeechKit

Trusted by energy companies

Enerparc

Enerparc

Solar energy monitoring

Enerparc monitors over 50,000 solar panels in real time using Delphi Cloud IoT services. We set up data pipelines that ingest sensor readings, process them through analytics engines, and surface actionable insights on dashboards accessible from any device.

Senslive

Senslive

Energy analytics platform

Senslive built an energy analytics dashboard on Delphi Cloud that processes data from over 10,000 devices. We built them managed databases for time-series data, ClickHouse for analytical queries, and data pipelines that feed their reporting and monitoring systems.

How energy companies use Delphi Cloud

Real-time facility monitoring

Ingest and visualize sensor data from across your facilities in real time. Set up alerts for anomalies, track equipment health, and build dashboards that your operations team actually uses.

  • IoT Core
  • Managed ClickHouse
  • DataLens

Predictive maintenance

Use ML models on historical sensor data to predict equipment failures before they happen. Schedule maintenance proactively instead of reactively, reducing downtime and maintenance costs.

  • Compute Cloud
  • Managed PostgreSQL
  • Object Storage

Simulation and modeling

Run reservoir simulations, geophysical models, and FEA on GPU-accelerated VMs. Scale compute for batch jobs during off-peak hours and pay per-second billing.

  • Compute Cloud
  • Object Storage
  • Load Balancer

Questions and answers

We use managed time-series databases (ClickHouse) that are purpose-built for ingesting and querying millions of data points per second. Combined with message queues, your data pipelines can absorb sensor bursts without dropping readings.

Managed ClickHouse

Yes. Our infrastructure supports the low-latency, high-availability requirements of SCADA environments. VPC network isolation and private subnets keep your operational technology networks separate.

VPC

Yes. GPU-accelerated VMs handle reservoir simulation, geophysical modeling, and finite element analysis workloads. Preemptible VMs keep costs down for batch jobs that don't need 24/7 uptime.

Compute Cloud

We work with energy and industrial companies on custom plans based on their data volumes, compute needs, and monitoring scale. Cloud credits are available for new accounts.

Talk to us

Power your energy operations with Delphi Cloud

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