Every signal, right at the source.
Never locked to one vendor.
For manufacturing lines running PLCs, sensors, and legacy SCADA, cloud-only pipelines mean lag, rising bandwidth bills, and one vendor writing your roadmap for you. Built on AgentOS for shop-floor operations: agents connect to devices at the edge, collect and pre-process every signal locally, and route only what's needed on to the cloud, an ML model, or a dashboard — so the line stays fast, sends less, and every improvement is one your own team can make.
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Every new sensor is a ticket to the vendor.
Most edge platforms ship as a closed box: adding a protocol, changing a pre-processing rule, or wiring in a new tool means a change request to whoever built the platform, then a wait. Meanwhile every device keeps streaming raw data to the cloud regardless of whether anything downstream needs it, so upload costs climb, response time slips, and a cloud outage can stall the line entirely. The team that knows the equipment best is the one least able to change how it's read.
The team closest to the line is the one locked out of changing how it's read. Every improvement waits on someone else's backlog.
Five agents, one edge hub.
Protocol onboarding
Agents bring a new device online without a firmware change or a vendor ticket — configured through a UI wizard, scripted directly, or connected through an existing protocol stack.
Local pre-processing
Time-sync, filtering, transformation, outlier handling, and tagging run at the edge before data ever leaves the device, so what reaches the cloud is already clean.
Routing to the tools that need it
Agents reshape and forward data to whatever's downstream — an ML pipeline, a historian, a visualization layer — in the structure each one expects.
Fleet-wide orchestration
One console monitors and updates every edge device across every line, pushes software updates without stopping the line, and flags any unit that goes offline.
Runs through outages
Because the processing happens on-site, a cloud or network outage doesn't stop the line — the edge keeps collecting and acting on its own.
From device to decision.
THE EDGE PIPELINE
Connect a device — PLC, sensor, inverter, or legacy SCADA, through a UI wizard, a script, or an existing protocol stack.
Agents collect at the source — reading raw signals on-site instead of shipping everything to the cloud first.
Pre-processing runs locally — time-sync, filtering, outlier handling, and tagging clean the data before it moves.
Clean data routes onward — restructured for whatever's downstream — an ML model, a historian, a dashboard.
The fleet stays visible — one console watches every edge device, pushes updates, and surfaces anything offline.
The platform underneath the pipeline.
Tools on demand
Protocols, pre-processing steps, and downstream integrations connect as agent tools — added without touching the platform's core.
Open by design
Runs across operating systems and hardware architectures with a small footprint, so it fits the equipment you already have instead of equipment it requires.
Deterministic where it counts
Pre-processing rules run as software, not a language-model guess — the same signal in produces the same transform out, every time.
Governance
Every configuration change and remote update is logged and visible before and after it runs.
Data gets cleaned and useful right where it's generated — less sent to the cloud, less lag getting back, and no outage on someone else's network able to stall the line. Every new device, rule, or integration is one your own team can add, not one that waits on a vendor's roadmap.
Your edge, your roadmap.
When every new sensor or integration is self-serve, the line moves at your speed, not a vendor's.