Tomorrow Things

High-Level Overview

Tomorrow Things GmbH is a German AI startup founded in 2023 that builds Things OS, an intelligent automation platform creating digital twins of technical assets like machines and equipment.[1][2][3][4][6] It serves manufacturers in production technology and IT, solving the problem of complex, error-prone, and costly manual integrations by using AI-generated "blueprints"—machine fingerprints—for one-click digitalization, data streaming, and interoperability.[1][3][4][5] This enables optimized production, predictive maintenance, reduced waste, and sustainability through plug-and-play connections to third-party AI apps, with up to 90% cost savings over alternatives.[4][5][6] Backed by €1.5M in seed funding from High-Tech Gründerfonds (HTGF) since 2024, the company is based in North Rhine-Westphalia (Bonn) with 1-10 employees and early momentum in industrial IoT.[2][3][5]

Origin Story

Tomorrow Things was founded in 2023 by CEO and co-founder Oliver Habisch and a team with expertise in building digital twins and enhancing data quality for AI applications.[3][4][5] The idea emerged from the pain of time-consuming, manual machine onboarding to the industrial internet, which Habisch described as developing "the operating system for machines on the Internet" and an "AppStore for asset blueprints."[4][5][6] Early traction came via HTGF seed investment in 2024, validating their SaaS solution "Cloud Connect" (now Things OS) that automates blueprints for real-time data and simulations.[2][4][5] Pivotal moments include raising €1.5M in March 2024 to scale AI-driven digital twins, positioning them as a sales and integration accelerator in IoT.[5]

Core Differentiators

• AI-Generated Blueprints: Act as unique machine fingerprints for one-click digital twin creation, selecting relevant data points, KPIs, thresholds, and micro-AI models—turning unstructured data into structured, quality-assured streams.[1][3][4][6]
• Plug-and-Play Simplicity: Hardware-agnostic, supports plug-and-produce with seamless bidirectional data transfer, up to 90% cheaper than manual integrations, and automatic MES connections.[4][5][6]
• AppStore Ecosystem: Enables third-party AI apps on digitalized assets (Things Twin for analysis/monitoring, Things Apps for efficiency), fostering interoperability like an OS for industrial assets.[4][5][6]
• Scalability and Security: Cloud-native, multi-tenant, multi-site architecture with cyber-secure microservices for rapid deployment across fleets without vendor sprawl.[2][6]

Role in the Broader Tech Landscape

Tomorrow Things rides the industrial AI and digital twin wave in Industry 4.0, where real-time data from sensors and machines fuels generative AI for simulations, predictive maintenance, and optimization—critical as manufacturers face rising demands for efficiency and sustainability.[1][4][5][6] Timing aligns with IoT maturation and AI advancements, addressing integration bottlenecks that slow digitalization amid labor shortages and energy costs.[5] Market forces like HTGF's backing amplify their influence, unlocking untapped value via standardized data for edge AI control, reducing waste/downtime, and enabling an app ecosystem that democratizes industrial intelligence.[2][4][5]

Quick Take & Future Outlook

Tomorrow Things is poised to expand Things OS as the backbone for AI factories, with next steps including AppStore rollout for third-party services and multi-site scaling to capture IoT growth.[4][5][6] Trends like edge AI, generative models for real-time optimization, and sustainability mandates will propel them, potentially evolving from digital twin builder to dominant industrial OS provider amid a projected $100B+ digital twin market.[1][6] Their blueprint innovation positions them to influence ecosystems by standardizing machine data, accelerating manufacturer adoption, and tying back to Habisch's vision of sustainable, efficient production at one click.[4][5]