- Tomorrow Things secures €1.5M funding for AI-powered Operating System tailored for internet-connected machines.
- Their platform creates digital twins of technical assets, optimizing production lines and enabling proactive issue prediction.
- Digital twins leverage data from sensors and machinery to offer real-time insights into performance and efficiency.
- Tomorrow Things automates and standardizes manual machine onboardings through unique machine blueprints, streamlining integration.
- Their solution is up to 90% more cost-effective than existing alternatives.
- The funding round was led by High-Tech Gründerfonds (HTGF) and neoteq ventures, with support from Notion Capital and other investors.
Main AI News:
Tomorrow Things, an AI startup, has successfully secured €1.5 million in funding to further develop its AI-powered Operating System tailored for machines connected to the internet. The company’s innovative platform creates digital replicas of technical assets, enabling optimization of production lines, proactive issue prediction, and data-informed decision-making without disrupting real-world operations. These digital twins leverage data from various sources, including sensors and machinery, to offer real-time insights into performance, efficiency, and potential challenges.
In today’s business landscape, open-source integration tools are widely utilized but often entail time-consuming and costly onboarding processes. Tomorrow Things revolutionizes this by automating and standardizing manual machine onboardings through machine blueprints—a unique fingerprint-like identifier—facilitating the creation of digital twins with a single click. This blueprint technology not only streamlines integration but also promotes interoperability within the ecosystem, enabling seamless incorporation of third-party applications atop digital assets.
Moreover, Tomorrow Things’ solution boasts a remarkable cost advantage, being up to 90% more economical than existing alternatives. CEO and co-founder Oliver Habisch emphasizes their mission of developing an operating system for internet-connected machines, likening their platform to an AppStore for asset blueprints and third-party AI services. This approach aims to enhance sustainability and efficiency by simplifying onboarding processes and unlocking untapped value for end-customers.
In addition to facilitating secure bidirectional data transfer between machines and internet applications, Tomorrow Things empowers value-add partners to centrally devise AI-driven control strategies. These strategies can then be executed at the edge, optimizing machine performance and achieving superior results.
The funding round was led by High-Tech Gründerfonds (HTGF) and neoteq ventures, with support from Notion Capital, solo GP Robin Capital, and various business angels specializing in fundraising, marketing, and B2B SaaS. Johannes Dierkes, Investment Manager at High-Tech Gründerfonds, highlights Tomorrow Things’ role as a sales and integration accelerator, poised to drive digitalization across the IoT ecosystem. He commends the founding team’s expertise in building digital twins and enhancing data quality, which are essential factors for unleashing the full potential of AI technologies.
Conclusion:
Tomorrow Things’ innovative approach to AI-driven digital twins and streamlined machine integration has significant implications for the market. Their cost-effective solution not only enhances operational efficiency but also accelerates digitalization efforts across the IoT ecosystem. This positions Tomorrow Things as a key player in driving sustainable and data-informed decision-making for manufacturers and businesses globally.
