Less downtime, more performance from your data.
Thousands of sensors generate raw data, but no real answers. We connect every machine and every protocol, transforming tens of thousands of data points per second into actionable decisions.
Via open industrial standards such as OPC UA, MQTT, Modbus TCP and Siemens S7, we connect every machine regardless of manufacturer, without creating proprietary silos.
From the same telemetry data, our ML algorithms detect wear patterns and gradual performance degradation, often days before an unplanned outage occurs.
Because the platform is built on open standards, your team can operate and extend it independently, without becoming dependent on us or any other vendor.
We accompany you from the first data audit to the optimised operation of your assets. To do so, we offer a modular portfolio, excellent expert knowledge and transparent processes.
We analyse your existing data streams, identify critical bottlenecks and produce a comprehensive data and system audit of your infrastructure.
Results
We build an integrated data platform that brings your telemetry, ERP and machine data together in a flexible and secure data lakehouse.
Results
A planned stop costs a fraction of an unplanned one: with our predictive maintenance we read the early warning signals, so that you schedule maintenance yourself instead of suffering a failure.
Results
Higher overall equipment effectiveness through AI-driven process parameter optimisation with minimal energy and resource usage.
Results
See why investing in predictive maintenance and data architectures pays off today.
36 hours unplanned downtime per year
| Hourly rate | Annual risk |
|---|---|
| 25.000 $ | $0.90M |
| 75.000 $ | $2.70M |
| 150.000 $ | $5.40M |
79% of maintenance teams saw steady or rising unplanned downtime last year; 39% report rising costs per incident (previous year: 31%). 45% have no proactive modernisation plan whatsoever. Industry-wide cost estimates vary by a factor of 50 because most plants estimate rather than measure.
0 – 100% of 272 industrial operators
| Criteria | Share of respondents |
|---|---|
| Use or plan AI for predictive maintenance | 64 % |
| Stream production data in real time | 34 % |
| Cite data quality and availability as primary hurdle | 54 % |
| Cite legacy integration and data silos | 48 % |
| Cite trust, explainability and transparency | 43 % |
Asked about their greatest obstacle, 54% of industrial operators cite data quality and availability, 48% legacy integration and data silos, and 43% trust and explainability. Only 7% have anchored AI in core processes today. Gartner predicts that 60% of AI projects without an AI-ready data foundation will be abandoned by 2026.
Of all maintenance teams
already use AI in live operations
Of these AI users
achieve measurable ROI in under six months
| Criteria | Baseline | Share |
|---|---|---|
| Use AI in live production | All teams | 58 % |
| Measurable ROI in < 6 Months | AI users only | 75 % |
| Use or test AI agents | All teams | 59 % |
| < 40% of time for planned work | All teams | approx. 50% |
Half of all maintenance teams spend the majority of their working hours reacting rather than planning. That costs working hours across an unmonitored asset base before downtime costs even begin. The question is no longer whether predictive maintenance works, but whether your data foundation is ready for it.
0 – 30 ct / kWh, non-household, 2nd half 2025
| Market | ct / kWh | Value per saved GWh |
|---|---|---|
| Ireland | 25,52 | €255,200 |
| Germany | 22,64 | €226,400 |
| EU Average | 18,37 | €183,700 |
| Finland | 7,48 | €74,800 |
In Finland, the same saving corresponds to €74,800. Directive (EU) 2023/1791 requires enterprises consuming over 10 TJ annually to undergo energy audits, and over 85 TJ to implement a certified energy management system — regardless of company size. Both demand continuous, audit-proof consumption telemetry. This is a data engineering challenge before a regulatory one.
We value Made in Germany and think European. That is why we work digitally sovereign, IT-secure and privacy-compliant, with our own servers, self-hosted LLMs and every state-of-the-art security technology.
Passive read-only access to telemetry data, like the on-board computer in a car: reading out yes, intervening in the controls never. Zero risk to active control loops or safety interlocks. Full air-gapped on-premise support.
Flexible, cost-efficient and reliable: as a Databricks partner, we combine the open data architecture of a data lake with the structure and transactional reliability of a data warehouse.
Legally sound procedures are no problem for us, because clean processes mean speed to us. For specialist questions on the AI Act or the Data Act we work with renowned law firms. And of course we protect your IP proactively.
