Robin Capital

Uvionix is a technology company focused on transforming inventory monitoring through the integration of artificial intelligence, robotics, and supply chain logistics. The company develops advanced aerial vehicles that provide instant delivery services, utilizing intelligent autonomous unmanned aerial vehicle (UAV) systems. By offering a high-performance platform for transport and commercial applications, Uvionix enables clients to access cost-effective drone solutions that enhance operational efficiency. The company's commitment to real-time, autonomously collected data aims to improve inventory management and streamline logistics processes.

Time matters. Discover in seconds. Employees spend 3 hours every day only searching for answers. The result? 50% of their searches end up in failure. A total of 2 months a year wasted pointlessly. The worst part? Nonsense, that has no context or relevant information to their entered topic. It's a waste of time, it's a waste of money, it's a waste of nerves - and it turns faster into frustration than one can even spell the word. Can you feel it? Perfect. The omnipotent, the future, the creator of the biggest Product Knowledge Graph of our time, able to connect every important data point from public data like social media or the world wide web. Meaning? Your search request goes wider, deeper, on higher levels. In short: it's efficient, it's successful and turns your products into growth. datazeit reimagines the discovery and helps you to get rid of the 'keyword-hit enter-wait for result-repeat until found or give up' search kind of way you and millions of people lived for so long. Stop looking, start finding.

Synthera claims that it can overcome the drawbacks of traditional financial forecasting methods like Monte Carlo simulations by utilizing generative AI. The business thinks that these conventional approaches often overfit historical data, ignore non-linear correlations, and ignore dynamic market fluctuations, all of which increase investors' risk exposure.

Volta is a developer of software-as-a-service platform focusing on B2B commerce.

GlassFlow is a developer of a Python-based data streaming infrastructure that simplifies the creation and maintenance of event-driven data pipelines. Targeting cloud-native teams, the platform features a serverless and production-ready setup, allowing data teams to build and transform their pipelines quickly and efficiently. With a user-friendly visual interface and integrated dashboards, GlassFlow reduces deployment efforts while enhancing data quality. This enables users to focus on value creation rather than dealing with infrastructure complexities, making it an effective solution for modern data challenges.

Phacet offers customized artificial intelligence (AI) solutions for small and medium-sized enterprises (SMEs).

SaleSqueze is a visual CPQ SaaS platform that enables small and medium-sized sellers of configurable physical products to digitalize and automate their sales processes. We help manufacturing businesses in industries like home & garden, agro tech, industrial machinery and equipment, and medical devices deliver a delightful customer experience and a seamless and speedy sales process. Visually configure complex products, calculate pricing in real time, and automatically turn inquiries into quotes. Plus, save countless hours of manual admin work! Our end-to-end sales platform includes an easy-to-use configurator builder that lets businesses affordably build their own visual configurators. Thanks to our Sales Hub, the sales team can keep track of every inquiry and quote to make sure nothing is missed or replied to twice. Let customers configure their own dream product with the Showroom, and offer B2B partners a streamlined purchasing experience with tailored pricing in the Customer Hub. Say goodbye to manual processes and hello to a future-proof solution that revolutionizes the way you sell complex products. Join the industry leaders who have embraced SaleSqueze to unlock new levels of success in the digital era.

AI-based process analytics platform to increase productivity and quality in manual processes. Processes are captured using computer vision and automatically analysed with a highly flexible AI to identify improvement potential. 1. Real-time capture with cameras Cameras are installed at individual assembly stations capturing live video streams of assembly or packaging tasks. 2. AI tracks material & work steps Video streams are continuously analyzed to detect workpiece movements, cycle times, and work step sequencing. 3. Aggregation for data analysis Process data is aggregated per article and production to provide insights on process performance. Video snippets allow for a comprehensive root-cause analysis. 4. Data-driven improvements Your factory managers and process engineers define, implement and measure process improvements to increase productivity and quality in your assembly line.

Graswald specializes in the creation of natural and digital 3D environments for the entertainment industry, focusing on visual effects, games, concept art, and design. The company produces a diverse range of photorealistic 3D vegetation models that enhance the realism of digital productions. By offering various groupings of nature models, Graswald enables animated content creators to develop immersive ecosystems, thereby improving the visual quality of their projects.

Tomorrow Things operates an intelligent automation platform that specializes in creating digital twins of physical assets. By leveraging AI-generated blueprints, the platform facilitates a one-click digitalization process that streamlines asset management and optimizes operations. This technology enhances decision-making through improved data collection and streaming, ultimately fostering greater operational efficiency and sustainability. Furthermore, the platform's blueprint capabilities support plug-and-produce functionality, ensuring interoperability across various systems and enabling seamless integration of third-party applications. Through its innovative approach, Tomorrow Things aims to contribute to enhanced efficiency and sustainability in asset management.

Atmio is a climate tech company focused on assisting the oil and gas sector in identifying, addressing, and reporting methane emissions. By integrating hardware and software solutions, atmio enables operators to detect leaks in gas infrastructure, streamline the repair process, and communicate with relevant stakeholders. The company aims to provide a comprehensive, automated approach to measuring and managing greenhouse gas emissions, thereby contributing to efforts against climate change. Through its innovative products, atmio seeks to establish itself as a leading provider in the field of greenhouse gas management.

We build fund infrastructure that enables companies to build their own ETFs, MMFs and funds, without any operational and regulatory burden.

GlassFlow is a developer of a Python-based data streaming infrastructure that simplifies the creation and maintenance of event-driven data pipelines. Targeting cloud-native teams, the platform features a serverless and production-ready setup, allowing data teams to build and transform their pipelines quickly and efficiently. With a user-friendly visual interface and integrated dashboards, GlassFlow reduces deployment efforts while enhancing data quality. This enables users to focus on value creation rather than dealing with infrastructure complexities, making it an effective solution for modern data challenges.

Mindsurance is a digital mental health platform that enables employees to access a variety of certified mental health services. Through its application, users can connect instantly with therapists, coaches, and digital tools designed to support mental well-being. The platform offers one-on-one sessions with psychologists and therapists, as well as anonymous reporting features to track usage and activity. By partnering with insurance companies to co-finance these services, Mindsurance aims to enhance employee health and promote a balanced state of mind in the workplace.