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Maintenance Support
We are seeking solutions that make maintenance and troubleshooting available at the machine right where they are needed: in the event of a malfunction, when no expert is on site.
Maintenance Support
We are seeking solutions that make maintenance and troubleshooting available at the machine right where they are needed: in the event of a malfunction, when no expert is on site.
Key Challenge Partner
Our partners want to provide experiential knowledge and documentation in the event of a malfunction so that downtimes can be resolved quickly, even without an expert on site. In the event of a malfunction, fast action is required, but often neither experiential knowledge nor the right documentation or guidance is directly available. If no expert is then on site, downtimes and failures extend, which is directly linked to increased costs, delivery delays, and an associated reputational risk. This applies to your own production as well as to the customer, where service technicians cannot be everywhere at once.
Final Blueprint
Maintenance support: A multi-stage escalation model shifts the threshold at which deep expert knowledge is needed on site. First, software guides users directly at the machine through maintenance or troubleshooting; if that is not enough, remote maintenance helps further, for example via AR glasses; and only as a last resort is an expert needed on site. The goal is to get the machine back into the production cycle as quickly as possible. The more cases are resolved at lower levels, the shorter the downtimes and costs, and the lower the dependence on individual experts.
Use at the customer: The solution is designed for your own service technicians and for use at customers, including the training of customer technicians. This enables fast troubleshooting, regardless of who is currently on site.
Industry Bottlenecks
Experiential knowledge in machine operation is specialized and complex.
Even documented knowledge such as manuals and specifications is often not intuitively findable in everyday work.
Skills shortages and turnover intensify the loss of knowledge when experienced employees leave.
Long training times lead to avoidable errors and quality fluctuations, while pressure for higher quality from customers increases.
Training often depends on the availability of individual experienced employees.
Existing checklists or intranet documentation barely capture implicit experiential knowledge or guidance directly at the machine.
Why founders choose LOVEDIS
Our ecosystem gives you real connections, lab space, and industrial infrastructure to test what you’ve built. We bridge the gap between ideas and implementation so you can grow faster and with less risk.
Direct access to industry
Work with partners who open doors to infrastructure, expertise, and real use cases, accelerating your path toward market readiness.
Access to real resources
Labs, workshops, machinery, network, data, and operational setups - it’s all here. Use what you need to validate and scale faster.
Equity-Free & Zero Cost
Our program is free of charge, and we take no equity.
Tailored 1-to-1 support
No copy-paste coaching. Individual mentoring and support that makes real progress possible.
APPLICATION
Apply now
Apply now as an industry solution / team. Application deadline: August 22, 2026.
Any questions?
If you have any questions or need clarification, please reach out directly to our Venture & Innovation Manager, Polina.
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Industry Challenges
Real-World Industrial Challenges
Haven’t found the right fit yet? Explore more of our industry challenges below.
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Operating Support and Onboarding
We are seeking solutions that make operating knowledge for machines available in a standardized and structured way right where it is needed: when training new employees or upskilling the existing workforce, as well as when training the customers' employees.
FAQs
Find answers to the most common questions about our program and application process.
No. Participation in LOVEDIS is free for startups — including access to infrastructures, expert teams, and program resources.
Our program is two-tiered and results-driven. All teams begin with the three-month Base Accelerator. High-performing teams then qualify for the subsequent 1:1 Accelerator, where we spend an additional three months working intensively and individually on your scaling strategy.
Yes — if you are a tech startup with a prototype or MVP and a clear goal to validate or scale together with industry partners.
The Base Accelerator works well in a hybrid format. The 1:1 Accelerator includes on-site phases with our hub partners to validate and develop your solution in real environments.
We focus on teams beyond the pure idea stage. You should have a prototype, MVP, or early product that can be tested, validated, and further developed with partners.
No. Incorporation is not required for application. A GmbH or similar structure is helpful later — but not a condition to enter the program.
Yes. We welcome European and international teams — as long as they’re willing to collaborate with our industry and hub partners.
We focus on technologies with strong industrial relevance, particularly in LifeScience, Construction, and Industry & Automation. Cross-industry solutions are explicitly welcome.
No — LOVEDIS does not take equity.