Edge Stream
See your data clearly
Replace guesswork with real-time, high-resolution data. A continuous pipeline from on-site edge devices to long-term cloud analysis, without replacing the control systems you already run.
- 1 s
- Edge sample resolution
- 2 yr
- Cloud retention
- 3
- Native industrial protocols
- 24/7
- Local + remote visibility
From guesswork
to a continuous,
high-resolution data flow.
- ×Manual monitoring
Clipboards, walkdowns, and spreadsheet exports that lag behind the facility by hours or days.
- ×Fragmented SCADA / BMS visibility
Multiple panes of glass, disconnected systems, and data siloed inside proprietary controllers.
- ×Delayed or incomplete analysis
Monthly reports based on coarse samples. By the time a drift is noticed, it has already cost you.
Four layers.
One pipeline.
Edge Stream pairs on-site hardware with a cloud platform and mobile visibility. Each layer has a clear job, and together they compose into a single continuous flow.
Industrial hardware deployed locally, connected directly to your existing systems.
Native support for BACnet, Modbus, and OPC UA. No system replacement required.
Aggregated storage and optimized analytics, retained up to two years.
Browser-based UI at the facility, cloud dashboards, a mobile app, and an open API endpoint. Feed Edge Stream's own AI layer or a customer-provided model with no lock-in.
One platform.
Every screen.
The same live pipeline drives the control-room dashboard, your desk, and a phone in the field for continuous facility visibility, wherever operators happen to be.
AI that watches
while you sleep.
The Virtual Facility Manager runs continuously against your live operational data, evaluating equipment behavior, flagging anomalies, and surfacing insights before they become incidents.
Built on the same real-time edge-to-cloud pipeline, not bolted on after the fact. Every flag it raises is grounded in actual high-resolution sensor readings.
Speed locally.
Scale in the cloud.
Two historians, one pipeline. The edge keeps every reading at high-fidelity for immediate monitoring. The cloud aggregates, compresses, and retains it for long-term analysis.
- Storage
- Up to 30 days
- Resolution
- 1 second, high-fidelity
- Primary use
- Real-time edge monitoring
- Storage
- Up to 2 years
- Resolution
- Optimized aggregation
- Primary use
- Trend + long-term analysis
What you get in
every deployment.
See facility state as it happens at 1-second resolution, on-site and remotely, not on a delay.
Native BACnet, Modbus, and OPC UA. Works alongside existing systems with nothing to rip out.
Browser UI at site, cloud dashboards and mobile everywhere else. Role-based, encrypted end-to-end.
No manual exports, no stale CSVs. Readings flow from sensors to cloud history automatically.
Pinpoint consumption drivers, peak periods, and inefficiencies. Not at quarter-end; today.
Designed for plant engineers and facility teams. Technical where it needs to be, not cluttered.
Standard interface for feeding live operational data into Edge Stream's own AI layer or a customer-provided model, with no lock-in.
Understand exactly what is happening in your facility, as it happens, and over time.
Plant floors, process systems, utilities. Connect to PLCs and SCADA without a forklift upgrade.
Campuses and portfolios. Pull from BMS and metering into one real-time view per site and across sites.
Find load drivers, peaks, and drift. Turn high-resolution history into a basis for continuous tuning.
Plants, fields, and microgrids. Generation assets connected alongside the building and process systems they support.
Wellheads to terminals. Native protocol support means no forklift upgrade to get visibility.
Distributed sites and equipment rooms, unified into one real-time view across the network footprint.
Your facility,
in your pocket.
The Edge Stream iOS app gives operators live visibility on the move.
Requires iOS 17 · iPhone + iPad
Edge Stream is the
data layer
AI runs on.
The platform captures, structures, and delivers facility data in real time, then opens it through a standard API to Edge Stream's own AI layer or a customer-provided model. No lock-in, no rip-and-replace.
- Purely cloud-based software
- A SCADA replacement
- DIY or self-service heavy
It is the infrastructure that makes optimization possible: a data pipeline from physical systems to structured insight.
Talk to an
engineer.
Walk through an Edge Stream deployment with someone who knows your control stack.