AI Technikakte
The searchable technical knowledge file for machines, equipment and production sites.
We are starting with the AI Maschinenakte for industrial maintenance – the digital knowledge colleague for your machines. Follow-up stages will add records for equipment and entire sites, so your operational knowledge stays available in one place.
One platform, three application tracks.
The AI Technikakte is designed as a modular platform. We are starting with the machine record today; equipment and site records follow as further expansion stages.
AI Maschinenakte
For industrial maintenance: service reports, manuals and tacit knowledge per machine – with AI-assisted rapid diagnosis on failures.
AI Betriebsmittelakte
For forklifts, gates, cranes, lifting platforms, compressors and further technical equipment – organised as device groups (e.g. tools, testing and measuring equipment, fixtures, lifting equipment and cranes, industrial trucks, compressors and compressed-air systems): maintenance history, inspection records and location in one place.
AI Standortakte
For entire production sites: building services, infrastructure and cross-cutting documentation – consistently structured across the site.
What downtime actually costs.
Typical cost of one hour of downtime for SMEs – depending on industry (e.g. food production). Significantly higher in heavy industry.
of industrial plants in Germany experience at least one unplanned downtime per month.
of German companies still rely exclusively on reactive maintenance.
Source: ABB "Value of Reliability" study, conducted by Sapio Research, July 2023 (3,215 maintenance decision-makers surveyed worldwide). Industry-dependent range; values converted and rounded.
What AI Technikakte takes off your team's plate.
Rapid diagnosis during failures
Matching fixes and similar past cases at hand instantly – instead of root-cause analysis from scratch.
Manual and documentation questions
Answers without lengthy hunts through PDFs and folders. With a direct source link to the original document.
Onboarding new staff
Machine knowledge, responsibilities and previous fixes available in one place – without interrupting experienced colleagues.
QR code on machine & unit
QR code on the machine or unit: one scan at the control cabinet is enough – the matching record opens on the mobile device, and the AI instantly knows the asset, its assemblies and the built-in components from various manufacturers together with their documentation.
Knowledge is lost every single day.
Whoever has solved a failure before knows the answer – but nobody else does. That costs hours, sometimes days of downtime.
- Scattered service reportsPDFs in email inboxes, folders on file shares, notes on the shop floor.
- Knowledge in individual headsThe colleague who knows this machine is currently unavailable.
- Unstructured contractor documentationReports from external technicians end up in the archive without tags.
- Repeated diagnostic workThe same error code gets analysed again and again – from zero every time.
Usable machine knowledge in three steps.
Upload documents
Service reports, machine documentation, manufacturer manuals, contacts – structured per machine and per asset.
AI searches & links
Your own documents and the global manufacturer knowledge base are evaluated together. No own AI infrastructure required.
Instant suggestions on failure
Technician describes the issue – the system shows matching fixes or similar past cases.
Hosted in Germany or the EU. Clear data-processing agreement with every customer.
Your documents stay your documents. Other customers do not see your data.
The AI delivers suggestions – never automated commands to controllers or assets.
We are currently in the pilot-customer phase and developing the product together with the first manufacturing plants. We deliberately avoid inventing customer logos or user numbers.
Ready for a pilot conversation?
In 30 minutes we show you how your knowledge could be structured today – no cost, no commitment.