Reporting agent
- Daily reporting is compiled without copy-pasting
- Reports are not delayed or left undone
- Real-time visibility into production improves
Industrial AI
Industrial AI – AI brains for processes and machines
Optimize processes, reduce disturbances and improve asset health. AI brains suggest the next best action — your expert decides.
- Read-only access – no control
- People always decide
- Data stays in the EU
Observation1,400 signals monitored · 24/7
AI brain suggestsNext best step ready for the expert
ObservationEfficiency −1.8% at this flow
AI brain suggestsShift load to unit 1 – constraints respected
ObservationEnergy per m³ +12% vs. similar batches
AI brain suggestsAdjust the drying curve – quality limit holds
ObservationPeak power 22% above target
AI brain suggestsPre-cool overnight – +4 °C limit holds
Observation3 options · impact and confidence interval
AI brain suggestsApproved – feedback teaches the modelAI brain
A specialist that never gets tired.
The AI brain follows thousands of measurements at once, remembers every operating situation and knows what normal looks like at exactly this load.
Hydropower
Turbine 2 runs slightly off its sweet spot.
River flow changes by the hour. The AI brain compares unit efficiencies in real time and suggests a load split that stays within every constraint.
Sawmill
Kiln energy is rising for no reason.
Same species, same moisture – yet more energy. The AI brain finds the difference by comparing batches statistically.
Food plant
Cooling runs at the most expensive hours.
Even in a small plant, cooling, compressed air and ovens use the most energy. The AI brain schedules loads around electricity prices and production.
The expert decides
AI suggests. People decide.
Every suggestion comes with its reasoning: size of the effect, uncertainty and the data behind it. The expert approves – and the feedback makes the model better.
Entry level
Workflow agents for industry
Four agents for everyday manual work. Workflow pilots from €4,900 (indicative), typically 4–6 weeks, a separate 30-day evaluation and production of €1,200–3,900/month. AI Brain and digital twin are priced separately. The exact fixed price is confirmed after the assessment and consultation.
Maintenance agent
- Entries are made on time, not after the fact
- Errors and gaps in entries decrease
- Maintenance history stays reliable
Quality agent
- Quality reports are compiled from all sources automatically
- Gaps and errors in reports decrease
- Quality data supports decisions faster
Information agent
- Information is found in one place across systems (ERP/MES/CMMS)
- Time spent searching decreases every day
- Scattered information becomes one whole
The AI Brain presented below is our advanced industrial offering for demanding process optimisation – the workflow agents are the fast way to start.
Your data already knows what to do next.
Industry measures more than ever. Yet the most important decisions are still made on experience, time pressure and scattered screens.
Too many signals, too little time
Thousands of measurements, alarms and trends. Your experts have no time to connect them – until it is too late.
Constraints change all the time
Load, raw material, weather, electricity price and equipment condition change by the hour. Yesterday's optimum is not today's.
Tacit knowledge is retiring
Your experienced people's understanding of the process is your most valuable data – and it disappears unless it is captured.
How the AI brain thinks
AI Brain – real-time process advisor
AI Brain monitors thousands of measurements, learns normal behaviour and suggests the next best action. Human approval required — no automatic control.
- 1
Observe
Reads measurements, events and maintenance history – with read-only access.
- 2
Understand
Learns the normal behaviour of the process in different operating modes.
- 3
Detect
Spots a deviation before it becomes a disturbance.
- 4
Diagnose
Ranks the likely causes by strength of evidence.
- 5
Predict
Estimates where the situation is heading – uncertainty included.
- 6
Recommend
Suggests the next step that stays within every constraint.
- 7
Govern
Blocks advice when data is incomplete or the situation is outside what the model knows.
- 8
Learn
Expert feedback improves the model – only after review and approval.
The statistical backbone
Statistical backbone – reliable recommendations
Every recommendation rests on statistical evidence: clear effect size, confidence interval and uncertainty, and operational relevance. Advice is blocked outside the model’s competence.
- 01
No decisions on a p-value alone
Statistical significance is not enough. A finding without an effect size is not a recommendation.
- 02
Effect size and confidence interval, always
You see how big the effect is – and how certain we are about it.
- 03
Engineering significance decides
A finding must matter for the process, not just in the numbers.
- 04
Unknown territory = no advice
If the situation is outside what the model has learned, advice is blocked and the case goes to an expert.
- Process data
- Quality and coverage
- Statistical evidence
- Engineering significance
- Recommendation to the expert
Evidence cardExample
Drying temperature +3 °C → energy −6.1%- 95% confidence interval: −4.2 … −8.0%
- Sample: 312 batches · known operating range
- Engineering significance: yes · quality in limits
AI may explain the evidence. It may never override it.
Three ways to use the AI brain
One brain. Three strengths.
The same statistical engine serves operations, planning and maintenance.
01Example- energy per tonne
- −3%
- constraints met
- 8 / 8
- to a reasoned suggestion
- 28 s
AI Advisory
An adviser that knows your process.
The AI brain follows the process in real time and tells your expert the next step: what to adjust, by how much and why. Optimisation respects changing constraints – load, quality, energy price and equipment condition.
- Next best action, with its reasoning
- Optimisation within dynamic constraints
- Every suggestion traceable to data
- The expert approves or rejects – always
Example: “Reduce feed by 4% for the next two hours – energy −3%, quality stays within limits.”
02Example- line speed tested
- +8%
- model error
- ±2.1%
- production risk
- 0
Digital Twin
Try it virtually first.
We build a digital twin of any industrial process or machine – from pumps and compressors to complete production lines. The twin combines physics and data, so you can test changes without risk before touching the real equipment.
- Any process or machine
- Physics + data = a trustworthy model
- “What if” scenarios without production risk
- Continuously calibrated from real data
Example: “What happens to energy use if line speed goes up by 8%?”
03Example- health index
- 68 / 100
- bearing vibration
- ↑ 34%
- est. remaining life
- 6 wk
AI Brain Asset Performance Management
Know which asset needs attention – and when.
The AI brain tracks equipment health, detects anomalies and estimates the probability of failure. You get a prioritised list – what, why and how urgent – and a maintenance proposal for your expert to approve.
- Health index and anomalies for every asset
- Most likely causes, ranked
- Failure risk and remaining useful life
- Maintenance proposal – feedback improves the model
Example: “Pump P-12: bearing vibration is rising. Inspect at the next maintenance window.”
The maintenance chain
- Health
- Anomaly
- Cause
- Risk
- Useful life
- Maintenance
- Feedback
The lynx shows the way. Your expert decides.
The lynx sees in the dusk – and the AI brain sees patterns in your data that would otherwise go unnoticed. But it never runs the process itself: it works with read-only access and writes nothing back to control systems. Every decision stays human.
- Read-only access – no writes to control systems
- No automatic retraining without approval
- Every recommendation explained and traceable
- Advice is blocked when the evidence is not enough
Designed in line with
- GDPR
- EU AI Act
- NIS2
- EU Data Act
- Data in the EU
- Read-only
Trust
Your data stays in Europe.
Industrial data is a trade secret. That is why development and operation follow EU data protection rules from start to finish.
Servers in the EU
Solutions run in EU data centres – Finland preferred.
Development in secure EU cloud workspaces
Our developers work only in secure EU cloud workspaces. Data never moves to anyone's own laptop.
Synthetic and pseudonymised data
Development uses synthetic or pseudonymised data. Real data stays in the EU.
Read-only access
We write nothing to your control systems. The AI advises – it does not control.
Access control and logs
Least privilege, encrypted transfer and every access logged.
Your data is yours
Your data is never used to train models for other customers. When the contract ends, data is returned or deleted.
How your data moves – and where the work happens.
Everything happens inside the EU. Live data flows one way to the AI brain. Development, testing and troubleshooting take place in secure EU cloud workspaces using safe copies.
EU boundary · Finland preferred
Live operation
- Plant or machineSensors, historian and maintenance system.
- Encrypted read-only linkOne-way and encrypted. Nothing is written back.
- AI brain in an EU data centreAnalysis, models and evidence – Finland preferred.
- Your expertReceives a reasoned recommendation and decides.
Pseudonymised copyVersioned release
Development & support
- DevelopIn a secure EU cloud workspace with synthetic or pseudonymised data.
- Test & validateAgainst held-out data and engineering limits before release.
- DeployVersioned release to the EU data centre – roll back at any time.
- TroubleshootInside the EU workspace, every access logged, no local copies.
Never
- Data on personal laptops
- Cloud services outside the EU
- Writing to control systems
Where the AI brain works
One statistical engine – any process or machine.
- Hydro and wind power
- Energy production and district heating
- Sawmills and wood processing
- Food production
- Metal and engineering workshops
- Chemical and process industry
- Water utilities and pumping stations
- Building energy and HVAC
How we start
Conversation
20 minutes: your process, your goals and the data you already have.
Data review
We check data quality and coverage – and tell you honestly what can be learned from it.
Pilot on one process
A focused target, clear metrics and read-only access. You decide on next steps based on the results.
Frequently asked questions
Do we need new sensors?
Often not. We start from the data you already have: automation, historian and maintenance systems. If an essential measurement is missing, we tell you directly.
Can the AI control the process by itself?
No. The AI brain works with read-only access and gives recommendations. Decisions and actions are always taken by people.
How do I know a recommendation is reliable?
Every recommendation shows its reasoning, the size of the effect and a confidence interval. If the evidence is not enough or the situation is outside what the model knows, advice is blocked.
Where is our data processed?
In EU data centres, Finland preferred. Development takes place in secure EU cloud workspaces using synthetic or pseudonymised data – real data stays in the EU.
Is this suitable for a small industrial company?
Yes. We start with one process or asset where energy, quality or reliability matters most.
Does the model retrain itself automatically?
No. Retraining is governed: an expert reviews and approves changes before they go live.
Industrial AI
Let us show you what your data already knows.
A 20-minute conversation about your process – no commitment.
- Read-only access – no writes to control systems
- No automatic retraining without approval
- Servers in the EU
Tell us about your process
Briefly describe the process or machine and your goal. We will reply within three working days.