wattiot Core
From plant data to decision
The cloud platform that turns your plant's signals into KPIs, comparisons, alarms and reports. With the shift, order and batch context that makes the numbers mean something.
The platform
From live data to action
The five views of wattiot Core, in the order you use them.
Live data
KPIs
Analytics
Reports
Actions
The adoption gap2026
Everyone is talking about AI. Almost nobody has the data.
The bottleneck is not the model, it is the data: OT and IT systems sitting apart, fragmented histories, proprietary formats and cloud platforms that do not survive the plant floor.
Exploring AI
98%already exploring or evaluating automation with AI
Ready to deploy
20%consider themselves fully ready to use it at scale
78%
between the two figures above: plants that want AI and still cannot deploy it. That is where wattiot Core comes in.
Redwood Software · Manufacturing AI and Automation Outlook 2026. Global survey of 300 industry professionals. Read the report
AI applied to the plant floor
AI that understands your plant, because the data arrives with context
The assistant understands what you need and creates virtual tags, KPIs, alarms and reports. It answers your questions about the plant on the spot.
Alarm: Energy consumption
412 kWh reached — forecast peak
AI agents
Nobody is watching the screen at three in the morning. Your agent is.
An assistant answers when you ask it. An agent watches, decides and acts without being asked, on the plant you already have connected. It is built out of four decisions.
No new integrations and nothing exported anywhere. The agent reads where the data already is: the plant signals, the KPIs you have defined on them, the shift contexts and the history.
A fixed threshold when you know where the limit is. When you do not, the plant baseline model or anomaly detection, which has already learned the normal range of each asset.
The work sets the rhythm, not the agent. Some watch continuously, some every few minutes, and some only wake at shift close or at month end.
Alarm, report, email or a webhook into your own system, always inside that plant's permissions. Every run records what it saw, what it decided and what it did, which is what counts in an audit.
InteroperabilityComing soon
MCP for agents
Ask about your plant from the agent you already use, whether that is Claude, ChatGPT or Gemini, against your live data, with per-plant permissions and every query logged.
Want to see your data with context?
Book a demo and we will walk the platform on a case close to yours: your KPIs, your shifts, your reports, not a sample dashboard.