Most companies see AI through a keyhole.
Without your data, AI agents are generic. We are the whole landscape.
Without your data, AI agents are generic.
They don't know your customers, your margins or what a driver wrote at 14:02. A better prompt only goes so far.
We are the whole landscape.
Your data on one side, one system you own in the middle, and AI, machines and people working as one on the other. That's Industry 5.0.
CEO HUD
Talk to your company. It answers live.
One living picture of every system, conversation and number in your business. Ask a question in plain language and the screen builds itself around it: the data, the evidence, the next action. No dashboards to design, no reports to wait for.
- Read-only to start
- Your data stays yours
- Every answer shows its evidence
€84,720 net, up 12.4%. Two large orders shipped early and fuel cost 3% less than planned.
- ERP
- Bank
- CRM
- Invoices
- +€9.1KOrders shipped early
- +€2.4KLower fuel cost
- −€1.8KWarehouse overtime
Scripted demo. Figures are illustrative.
Your dashboards can't see where the money leaks.
of company data is unstructured: email, chat, documents. Dashboards never see it.
IDCof a typical company's applications are integrated. The rest work alone.
MuleSoft / Salesforce, 2026of decisions are actually influenced by analytics. The rest run on gut and old reports.
GartnerThe signal existed. It just never reached you.
Power BI 2.0: ask, don't build.
Most companies start here. Instead of commissioning another dashboard, your team talks to its data. Each question gets its own interface: the nodes, charts and tables it needs appear, then step aside for the next question.
Classic BI Built in advance
- Someone designs every page in advance
- Sees tables only, not email, chat or documents
- Answers the questions you thought of last quarter
- Ends in a chart; someone still has to act
CEO HUD Built per question
- Ask in plain language; the screen builds itself
- Reads structured and unstructured data together
- Shows its evidence: sources, joins, confidence
- Ends in an action you approve
From scattered systems to one living picture.
- STEP 1
Connect
Read-only connectors to your ERP, CRM, accounting, email and chat. Nothing gets replaced.
- STEP 2
Structure
We document your processes and map every source into one AI-native layer that agents can read.
- STEP 3
Ask & watch
Talk to your data in plain language. Watchdog agents track margins, cash and risk around the clock.
- STEP 4
Act
Tasks, reminders and escalations. Agents propose, you approve, and every step is logged.
- Read-only by default
- EU cloud or your own servers
- Every agent action logged
The layer between your data and every AI agent.
Agents are only as good as the context they get. The HUD sits in the middle: it turns scattered systems into one structured, documented, permissioned picture, so any agent can read your company the way your best people do.
- ERP
- Accounting
- CRM
- TMS / WMS
- Bank
- Team chat
- Documents
- Spreadsheets
Models learn where the data lives.
Training runs inside each system and site. Only model updates travel, never raw records, so a group with five sites gets one shared intelligence without pooling its data.
Prove it without showing it.
Show a bank, an auditor or a partner that a figure is true (a margin, a compliance check, a KPI) without handing over the data behind it.
An interface built for each question.
No dashboards to design or maintain. The HUD assembles the charts, tables and actions a question needs, then clears them for the next one.
Three moments from the live demo.
A driver mentions a crash in a group chat. No ticket, no form. The HUD joins the message to live load data, puts a number on the exposure and escalates it with a plan.
One question joins the load board, maintenance logs and fuel cards, and shows its working: a flat per-km rate quietly under-prices oversized loads.
Approve the fix and the company moves: task created, owner assigned, reminders set, every step in the audit trail.
The demo runs on a 1,500-truck logistics fleet; figures are illustrative. The engine doesn't care about the industry: only the sources and playbooks change.
- Logistics
- Manufacturing
- Wholesale
- Construction
- Healthcare
- Field services
- Retail
A command center on day one. An AI workforce from day two.
Connecting and structuring your data is the hard part, and you only do it once. After that, every new agent starts with the full context of how your company works. Describe it in one prompt and it goes to work, from daily data entry to a new CRM feature.
No new integration project, no six-month rollout. The agent runs on the same connectors, the same process map and the same approval rules as everything else.
Deployment times are illustrative, from the demo environment.
Ready-made Klaretas agents that plug straight in
Digital transformation, done once.
- WEEKS 1–6 · SEE
One living picture
Your systems are connected and your processes documented. Anyone can ask the company a question and get an answer with evidence.
- MONTH 2+ · ACT
Agents on watch
Watchdog agents catch what people miss and propose what to do. You approve; the HUD delegates and follows up.
- YEAR 1 · INDUSTRY 5.0
People steer, agents run
Routine work runs on agents that already know your business. Your team spends its time on judgement, customers and new ideas.
Priced by what we connect, not by seats.
Each plan has a one-time setup (process audit, connectors, calibration) and a monthly fee for hosting, monitoring and new connectors. Unlimited viewers on every plan.
Power BI 2.0. For companies starting with their data.
- Up to 5 data sources
- Talk to your data: generated reports and exports
- Evidence on every answer
- 2 watchdog agents (cash, margin)
- Weekly CEO brief
- Live in 2–3 weeks
For companies ready to act on what they see.
- Everything in Insight
- Up to 15 sources, incl. email and chat
- Core processes documented and mapped
- 6 watchdog agents, around the clock
- Approval queue: tasks, reminders, escalations
- Full audit trail, roles and SSO
- 1 Klaretas agent included
- Live in 4–6 weeks
For groups going all-in on AI.
- Everything in Command
- Unlimited sources and custom connectors
- Multi-entity and multi-site, with federated learning
- Zero-knowledge proof reports for banks and auditors
- Your servers or private cloud, full code handover
- All 8 Klaretas agents + unlimited prompt-in agents
- Dedicated engineer · live in 6–10 weeks
The questions CEOs always ask.
Is this real, or just a nice demo?
The demo is scripted, and we say so. The architecture is the product: a pilot runs on your own sources within weeks, and the first thing it does is find something in your numbers, not ours.
We already have Power BI.
Keep it. Power BI shows what you structured into tables, when someone opens the report. The HUD also reads what you didn't structure, like email and chat, and it doesn't wait to be opened.
What about AI hallucinations?
Every answer ships with its evidence: which sources, which joins, what confidence. No evidence, no claim. You can trace any conclusion back to the rows it came from.
Who controls what the agents do?
You do. Agents propose, people approve. Autonomy is switched on per agent and per action type, can be switched off at any time, and every action is logged with who approved it.
Where does our data live?
Connectors are read-only to start, hosted in the EU or on your own servers. Federated learning keeps raw data where it is, and your data never trains anyone else's models.
Our data is a mess. Are we ready?
Everyone's is. You don't clean first and start later: the HUD starts with what exists and finds value in the mess. The crash in the demo is caught from a chat message, not a clean database.
How long until it's live?
Two weeks of scoping, then 2–10 weeks depending on the plan. The first watchdog agents run on your numbers before the project ends.