F-LOG Ventures

Retraced is a blockchain-based platform that enhances transparency in the fashion supply chain, enabling consumers to access reliable information on sustainability and fairness. Founded in 2019 and headquartered in Düsseldorf, Germany, the company offers a sustainable supply chain management software tailored for fashion brands aiming to meet their sustainability objectives. By leveraging artificial intelligence, Retraced collects and analyzes data regarding suppliers, working conditions, materials, certifications, and environmental impacts. This information aids brands in making informed purchasing decisions while fostering trust with consumers and attracting more clients through increased transparency.

Veecle is a company focused on revolutionizing vehicle function development by providing a secure and efficient platform that abstracts hardware and offers unified control through modern APIs. This innovative approach allows for faster and more cost-effective car development, enabling automotive functions to be programmed similarly to smartphone applications, ensuring security and safety by design. Veecle’s services leverage a specialized programming language to seamlessly integrate digital functionalities with existing vehicle platforms, promoting a harmonious coexistence of new and legacy technologies. By streamlining the development process from concept to market-ready products, Veecle significantly reduces development cycles from years to months, allowing for mid-cycle updates akin to smartphone app upgrades.

talpasolutions a predictive SaaS analytics provider for the mining industry that helps companies optimize machine performance, reduce breakdowns, and improve safety by making data more understandable. talpasolutions makes it possible for operators and machine manufacturers in heavy industry to use machine data that would have otherwise been lost. talpasolutions concentrates on building visualization and analysis applications for the industrial internet. In the first step, large amounts of data from the machines are recorded. Comprehendable visualizations allow for different stakeholders to understand relationships based on sensor data and contextual data and to react to critical information, which would otherwise have been buried in the data transfer. In the second step the newest predictive models are applied to eliminate events such as errors and the breakdown of machines critical to the process. This increases not only the availability but also the workload of the machines. talpasolutions has built a network out of industry partners to develop solutions that stretch across various sectors and unify industry experience, data science, and workflow connectivity. Using predictive instructions our platform recognizes problems before they occur and supports users with workflow-based processes. Our applications make it possible to collect performance data from machines in order to recommend optimal fleet combinations for respective scenarios to customers. This leads to more operating hours, higher efficiency, and an improved lifetime value of the machines.

Speiz is a Norwegian startup established in 2020, operating a digital platform that connects warehouse owners with businesses seeking storage solutions. The company's core business involves aggregating data from various market sources to facilitate efficient matching between suppliers and users of warehousing space. Speiz aims to streamline the traditional leasing process by reducing associated costs and time up to 80%, thereby increasing revenue for property owners and providing optimal solutions for businesses.

Retraced is a blockchain-based platform that enhances transparency in the fashion supply chain, enabling consumers to access reliable information on sustainability and fairness. Founded in 2019 and headquartered in Düsseldorf, Germany, the company offers a sustainable supply chain management software tailored for fashion brands aiming to meet their sustainability objectives. By leveraging artificial intelligence, Retraced collects and analyzes data regarding suppliers, working conditions, materials, certifications, and environmental impacts. This information aids brands in making informed purchasing decisions while fostering trust with consumers and attracting more clients through increased transparency.

Speiz is a Norwegian startup established in 2020, operating a digital platform that connects warehouse owners with businesses seeking storage solutions. The company's core business involves aggregating data from various market sources to facilitate efficient matching between suppliers and users of warehousing space. Speiz aims to streamline the traditional leasing process by reducing associated costs and time up to 80%, thereby increasing revenue for property owners and providing optimal solutions for businesses.

Natif.ai GmbH, established in 2019 and based in Saarbrücken, Germany, specializes in intelligent document processing (IDP) solutions for enterprises. The company utilizes advanced artificial intelligence, deep learning, and natural language processing to develop a comprehensive platform that automates document analysis. This platform incorporates features such as optical character recognition (OCR), smart classification, and data extraction, allowing businesses to efficiently convert unstructured information into actionable insights. By enhancing productivity and reducing error rates, Natif.ai's solutions empower organizations across various industries to improve their decision-making processes and lower operational costs. The company's commitment to delivering customer-centric and customizable solutions positions it as a leader in the evolving field of document automation.

Smartlane GmbH, founded in 2015 and based in Munich, Germany, specializes in developing innovative software solutions for transportation logistics. The company's flagship product, SmartlaneDISPATCH!, is a mobile application that facilitates order and tour management, enabling users to monitor deliveries, optimize routes, and communicate with customers via notifications. Additionally, Smartlane offers Smartlane Transport Intelligence, a cloud-based, AI-driven platform that automates and optimizes transport planning. This technology enhances operational efficiency by dispatching orders quickly while taking into account various factors such as delivery time windows and real-time traffic data. Smartlane's solutions are particularly beneficial for delivery services, field service providers, and businesses with vehicle fleets, significantly reducing operational costs and environmental impact. As a leader in the sector, Smartlane is dedicated to digitizing and improving transportation processes for its clients.

Yababa is an online grocery platform based in Berlin, Germany, that specializes in delivering Turkish and Arabic groceries with same-day service. Launched in 2021, the platform enables consumers to conveniently select a wide range of products, including groceries, fruits and vegetables, cosmetics, electronics, bakery items, and flowers. Users can schedule their delivery slots according to their preferences, facilitating a seamless shopping experience. Yababa focuses on providing access to a diverse assortment of oriental groceries, catering to the needs of customers seeking these specific products.

Smartlane GmbH, founded in 2015 and based in Munich, Germany, specializes in developing innovative software solutions for transportation logistics. The company's flagship product, SmartlaneDISPATCH!, is a mobile application that facilitates order and tour management, enabling users to monitor deliveries, optimize routes, and communicate with customers via notifications. Additionally, Smartlane offers Smartlane Transport Intelligence, a cloud-based, AI-driven platform that automates and optimizes transport planning. This technology enhances operational efficiency by dispatching orders quickly while taking into account various factors such as delivery time windows and real-time traffic data. Smartlane's solutions are particularly beneficial for delivery services, field service providers, and businesses with vehicle fleets, significantly reducing operational costs and environmental impact. As a leader in the sector, Smartlane is dedicated to digitizing and improving transportation processes for its clients.

talpasolutions a predictive SaaS analytics provider for the mining industry that helps companies optimize machine performance, reduce breakdowns, and improve safety by making data more understandable. talpasolutions makes it possible for operators and machine manufacturers in heavy industry to use machine data that would have otherwise been lost. talpasolutions concentrates on building visualization and analysis applications for the industrial internet. In the first step, large amounts of data from the machines are recorded. Comprehendable visualizations allow for different stakeholders to understand relationships based on sensor data and contextual data and to react to critical information, which would otherwise have been buried in the data transfer. In the second step the newest predictive models are applied to eliminate events such as errors and the breakdown of machines critical to the process. This increases not only the availability but also the workload of the machines. talpasolutions has built a network out of industry partners to develop solutions that stretch across various sectors and unify industry experience, data science, and workflow connectivity. Using predictive instructions our platform recognizes problems before they occur and supports users with workflow-based processes. Our applications make it possible to collect performance data from machines in order to recommend optimal fleet combinations for respective scenarios to customers. This leads to more operating hours, higher efficiency, and an improved lifetime value of the machines.