As former R&D engineers and consultants, we developed AI-enhanced monitoring and diagnostic tools for OEMs throughout dozens of R&D projects. One of the most important learnings throughout the first projects? Algorithms alone don’t make it to the shopfloor.
Deploying data-driven technology at scale requires a well-orchestrated set of automated services, continuously monitoring, tracking and optimizing the solution (MLOps). And sound data management.
Developing and operating the necessary software components requires a highly specialized skillset. Which most machine manufacturers lack. And even if they have it, they often end up over-customizing data architectures, missing standardization and the consistent application of best practices.
Budgets are overrun. Deadlines missed. And time-to-market grows to years. So machine manufacturers shy away from providing corresponding services. Or have to go through a bloody process, learning at a high cost.
Data-driven insights profoundly affect the way we manage the lifecycle of our assets. They align untapped economic potentials of increased reliability and optimized service with a more sustainable usage of parts and machinery. OEMs are in the unique position to provide advanced, interpretable monitoring and diagnostic tools. Making industries more sustainable and securing their own technological leadership.
From the best practices and lessons learned by developing AI-enhanced condition monitoring innovations across the industry, we distilled the. And founded Alpamayo to bring it to life. Our software,enables machine manufacturers - no matter how big and digitally mature - to offer their customers the insights they seek to proactively operate and maintain their machines. Without technological risks. Within weeks. And affordable.
That's how we contribute to building future-proof production systems.
From an economic and sustainability perspective.
We, Christoph, Till and Benedikt, set out on our mission in Fall 2022. Since then, we’ve grown to a core team of 7 passionate specialists. Giving 110% every day to ensure that our customers excell with AI-enhanced monitoring and diagnostic tools.
Starting to work with Alpamayo means gaining a reliable partner.
We get involved deeply to fully understand your needs and challenges. We bring our expertise from dozens of successful industrial analytics projects to the table. And we leverage it to jointly develop the optimal strategy to reach your goals. No matter if you intend to make use of the efficiciency of building with PREKIT’s modules. Or decide you require a fully-customized implementation. You can be certain to build on proven technology and best practices.
And we follow a value-first approach. No year-long development in the lab. We ensure that you can deliver to your customers fast. Why? Because as a young company we’re well aware of the importance of fast delivery to learn, validate and iterate in business development. This, hand in hand with top-notch data-driven tools, will ensure your data-driven service success.
We're happy to share:
Want to visit us?
So you can choose between two unparalleled locations. You can visit us at QUBO in the picturesque town of Sarnen close to Lucerne. So we can sit down and discuss your data-driven service strategy with a wonderful panorama view of the Swiss Alps. Or we can meet in the digitalHub, Germany’s first co-working space in a former church.
And those two great places to work not only boost our motivation. They also enable us to be part of two amazing networks full of great support.
Still reading?
Have you already been wondering what our name, Alpamayo, is about?
Back in our founding days, we were exhausted after hours of brainstorming for a fancy company name. So we started thinking outside the box. What we came up with? All three of our founders are or have been doing pro bono development cooperation in South America. And love hiking.
So we decided to choose the continent’s most beautiful mountain as our company name: Alpamayo. You can actually see it in the background. It is a magnificent and desirable goal for mountaineers. But also a huge challenge. We thought this fits quite well with the situation many OEMs face when trying to realize AI-enhanced monitoring and diagnostics.