Kai Meschede (Co-Founder, CTO), Sebastian-Friedrich Kowitz (Co-Founder, CEO), Artem Zitzer (Co-Founder, CPO) and Philipp Lorenz (Co-Founder, COO) Maximilian Probst





talpasolutions

Industrial Data Understandable

Industrial Software as a Service
Founded in 2016
17 employees
Funding: €1.5M
Stage: Seed


talpasolutions is a predictive analytics SaaS provider that helps companies optimize performance, reduce asset failures, and enhance safety by making data understandable. talpasolutions works with heavy equipment and mining companies to utilize data collected from their machinery, which otherwise would have gone to waste, to provide comprehensive and actionable insights. Website
Highlight of the year: Implementing a solution at one of the largest mining operators in the world.


Interview with talpasolutions


What inspired you to found your startup?

Currently, 99% of heavy machine data is not used, and is being wasted everyday. We recognized that this data needs a proper means of capture, analysis, and exploitation to unlock a mass of actionable insights for better machine utilization and availability.


How are you different? What is your unique value proposition?

talpasolutions has an entrepreneurial approach of starting from its clients’ pain points, which is unique in the industry. Together with our clients and partners that manufacture, own, or operate equipment, we make algorithms more robust and scale up data-driven business models to improve operational efficiency.


How do you define success for yourself and your company?

We believe that, to truly capture digital value, technical solutions need to be integrated into existing processes and reflect real-world concerns. For us, success is when solutions offered to clients generate valuable insights, which in turn realize substantial cost reductions.


What do you want to achieve next year?

Our goal for the next year is to scale our solution with our existing partners. Additionally, we plan to bring more partners from mining industries on board. We are also creating first solutions for adjacent industries, such as marine logistic and agriculture.


Why do people want to work at your company?

At talpasolutions, we have the spirit and skill to re-define technical limits. In order to deliver transparent and actionable insights, our interdisciplinary team makes industrial data digitally accessible and understandable.


What has been the most important milestone so far?

Through partnerships with established industry leaders, we have succeeded in overcoming market resistance, and we have solved critical industry pain points. Additionally, the prestige of these partners has boosted our own reputation and credibilit,y as well as heightened its efficacy in educating the market.


Looking back at your whole development story — what makes you most proud?

The average company takes 12-18 months to roll out a new data model. At talpasolutions, our data science team can create deploy a model in a few weeks. The entrepreneurial approach of talpasolutions pairs incredible speed with ambitious execution to yield innovative solutions.


Where do you see your company in 5 years?

We see our company becoming the interface between people and machines. We will have crafted digitally transformed industries for a sustainable future. We make machines talk to their operators and dispatchers to make the industrial world safer and more productive.


What is your impression of launching a startup from your based city?

For us and our business model, the Ruhr area is the perfect location. We are closely connected to most leading machine manufacturers, consultants, and other third-party suppliers in the area.


What is your impression of the german startup scene? Would you change anything?

Historically Germany is very well known for their industrial solutions products. German engineering companies should co-operate more with start-ups to overcome knowledge gaps and to maintain their competitive position in the world.



talpasolutions was featured in “The Hundert Vol. 10 – Startups of Germany“, November 2018.



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