Plant intelligence
The operational memory for industrial plants.
A question on the plant floor rarely lives in one system. Hiiko brings live signals, working documents, and what people remember into one place — so the team can see the picture, ask in everyday language, and keep the reasoning.
- Read-only to plant control
- Runs on plant infrastructure
- No inbound into the plant network
- AI proposes — people apply
The gap
Plant knowledge is spread across the shift.
A question rarely lives in one system. The answer depends on joining the pieces.
Live signals
- SCADA and historian values
- Lab results and alarms
- Trends and exceptions
Working context
- SOPs and permits
- Maintenance history
- Shift notes and handovers
Human memory
- What changed
- What was tried
- What good looks like
Why it matters
Good decisions need the whole picture.
When context is missing, routine work becomes slower and harder to repeat.
01
Investigate sooner
Connect the event with what happened before it.
02
Carry knowledge forward
Make useful reasoning easier to find across shifts.
03
Explain the decision
Keep evidence close to the action and its rationale.
The product
A calm starting point for the day.
One place to see what needs attention and ask about the plant.
A calm starting point
What matters now, in one view.
Open alerts, a morning briefing, data visibility, and a plain-language question box. A place to begin the day — and to ask about the plant without hunting for the right screen.
Ask for the view
The board starts as a sentence.
The shift already knows what it needs to watch. Say that — effluent monitoring, compliance review — in plant language, not a widget catalog. Hiiko drafts the gauges, the related trends, the layout from live signals. A person reads the draft. Apply keeps it. Discard leaves nothing behind.
Asked like this
A plant question, answered as a board the next shift can open.
Repeat familiar work
Start with a report already trusted.
Keep the shape. Reduce the rebuild. Recurring figures, tables, and checks can be prepared from the same source context — so the weekly report is a continuation, not a reconstruction.
Wastewater first
Questions a plant already asks.
Wastewater is the first process. Scope follows the site — access, review, and the work that actually repeats.
Upset review
What changed before an excursion?
Shift handover
What needs attention, and why?
Permit evidence
Which records support the decision?
Chemical and energy view
How do dosing and process conditions move together?
Other processes are welcome. Each industry Hiiko learns is shaped with the people who run it — as a pilot, or when that process is ready.
Bring a processSecurity and how it runs
Built so OT and IT can say yes.
The plant network stays closed. Operational data stays where it is put. AI never writes to equipment.
Read-only to plant control
No path from a question, a dashboard, or an assistant prompt to a PLC. Analytics never write to equipment.
Nothing inbound to the plant network
An edge collector in OT reaches the core with one outbound connection. Nothing listens for inbound traffic on the machine network.
Runs where the plant needs it
On-site, in an existing cloud tenant, or as an offline bundle. Operational data does not have to leave the site.
AI is optional — and gated
Local model, a cloud subscription with small retrieved snippets, or no AI at all. Drafts wait for a person to apply.
Stay close
One plant question, answered better.
A pilot on a real process — including one Hiiko has not gone deep on yet. Or a note to follow until that industry is ready.
A plant question should open a view — not another search.
A pilot on a real process, or a note to follow until that industry is ready.