Led · Series A · Jan 2024

GPredictive offers predictive analytics as a software-as-a-service, allowing businesses to analyze customer data, enrich purchase histories and calculate individual lead scores without large IT teams. Its models and “scores out of the box” can prioritize leads and, the company reports, deliver up to four times more orders in targeted campaigns. Data is stored and analyzed entirely in Germany, with a stated emphasis on data protection and security. The product targets marketing and sales operations and aims to make machine-learning technology accessible to businesses of all sizes. Management is led by CEO Björn Goerke with Dr. Dennis Proppe as Head of Technology and Philippe Take as Head of Sales & Marketing; the company was founded in 2009. GPredictive is hiring developers, sales and support staff, focusing sales on Germany with medium-term plans for international expansion.

Participated · Series C · Jul 2022

Dedrone offers a multi-sensor fusion C-UAS platform — cloud-based or on-prem/air-gapped — that uses AI/ML detection, a fusion tracker, sensors, mitigation capabilities and advanced analytics to detect, identify, locate and analyze drone threats. The company detects nearly 300 drone types across more than 65 manufacturers and recently launched DedroneRapidResponse, a mobile solution deployable in under 30 minutes to protect a five-kilometer radius. Customers span 36 countries, including four G-7 governments, nine U.S. federal agencies (including the Department of Defense), over 75 critical infrastructure sites, 20+ airports and 50 correctional facilities. Dedrone said commercial demand accelerated in 2022 and it is on track to double its revenue projections for the year. The company plans to triple U.S. hiring and build a focused engineering team in California as it grows its global team and expands its multi-sensor fusion airspace security solution. Established in 2014, Dedrone maintains offices in San Francisco, the Washington, D.C.-area, Columbus, Ohio, London and Germany. Dedrone builds counter-drone systems that detect, identify, locate and mitigate unauthorized drones by fusing data from multiple sensors and applying AI/ML. Its solution can be hosted on-premise or delivered via Dedrone’s Airspace Security-as-a-Service (ASaaS) and includes analytics and mitigation functionality. The company says it has sold over 1,000 sensors and expanded detection to more than 200 different drone types while operating across 33 countries. Dedrone’s customers include governments of four G-7 nations, nine U.S. federal agencies including the Department of Defense, 65+ critical infrastructure sites, 20 airports, 50 correctional facilities and 10 Fortune 500 companies. Founded in 2014 and headquartered in San Francisco with operations in the Washington, D.C.-area, Columbus, London and Germany, Dedrone positions itself as the market leader in smart airspace security. The company recently completed a $30.5 million Series C after a year of strong growth. Dedrone is described as the global market and technology leader in airspace security, protecting organizations from malicious drones. Its platform is a complete counter-drone solution that detects, classifies, and helps mitigate drone threats. The system combines radio sensors, specialized cameras, and radar whose data are processed by the company's DroneTracker software. Following the new funding, Dedrone plans to accelerate development of its platform and propel global expansion. The company secured $12.1m in a funding round and is backed by investors including TempoCap, Felicis Ventures, Menlo Ventures, and John Chambers. Dedrone is a San Francisco-based company that builds drone-detection and counter-drone systems combining sensors, cameras, and RF scanners. Its product, launched about a year before the article, has been installed at over 200 sites including data centers, sports stadiums, and the homes of high-net-worth individuals and political figures. The company often works with physical security firms and government agencies to monitor airspace at events and facilities. Dedrone raised $15 million in a Series B and will primarily use the funding to bring its technology to more businesses and government offices, with a particular focus on data centers. CEO Jorg Lamprecht said the company will also continue research and development in drone security. The firm emphasizes the ability to precisely locate drone operators to enable countermeasures while avoiding escalation where possible. Dedrone develops hardware and software to detect and locate unwanted drones and alert people on the ground or in manned aircraft. Its systems are used by law enforcement, private security firms, property owners and corporations monitoring large venues and infrastructure such as airports and data centers. The company has surpassed 200 customers worldwide, including at least 30 in North America, and has been deployed at venues like Citi Field to keep unauthorized flying cameras away from events. Dedrone positions itself as neutral on countermeasures, allowing customers to decide how to respond within legal constraints. CEO and founder Jörg Lamprecht says regulatory changes benefit the business because laws need enforcement, which drives demand for monitoring solutions.

Participated · Equity · Dec 2021

NavVis provides survey-grade mobile reality capture systems (NavVis VLX and NavVis MLX) and an enterprise cloud platform, NavVis IVION, which together create and manage spatial twins of industrial plants, construction sites and buildings. The company says it captures and processes large volumes of spatial data at roughly 10x the speed of traditional methods and that more than two billion square meters now live on its platform, with more than a billion square meters added in 2025 alone. Over 150,000 users across engineering, maintenance and construction teams rely on NavVis, and the firm counts over 1,500 customers in more than 50 countries, including BMW, Volkswagen, Toyota, Mercedes-Benz, ExxonMobil and Siemens. NavVis has partnerships with technology providers such as SAP, NVIDIA and Autodesk and highlights use cases from reducing downtime to enabling robotics planning and training industrial foundational models. With the Series D funding, NavVis plans to scale its capture infrastructure, expand spatial data turnover, deepen its AI and intelligence layer, and grow its market presence, particularly in the U.S.

Participated · Series B · Oct 2021

ArangoDB is a scalable open source graph database that combines graphs with JSON documents, a key-value store, and a full-text search engine accessible via a single query language. The platform enables graph analytics and complex data architectures across many industries and has been adopted by customers including Altair, Barclays, Cisco, Juniper Networks, Refinitiv, RE/MAX and VMware. ArangoDB reports more than 11,000 stargazers on GitHub. The company is led by CEO Claudius Weinberger, CRO Frank Swain, and CTO Jörg Schad, and is based in San Francisco, California and Cologne, Germany. It intends to use the new funding to expand operations and enter new markets. Since its founding, ArangoDB has natively supported graph in combination with additional data formats, positioning its multi-model approach as a core differentiator. ArangoDB is an open source native multi-model database that unites graph, document, and key/value data models in a single core with a common query language. The product gives developers flexibility, reduces development complexity by eliminating data duplication and consistency challenges, and accelerates time-to-market by requiring teams to learn and maintain a single database. Led by CEO and co-founder Claudius Weinberger, the company reports more than 500 organizations using ArangoDB in production, including Airbus, Barclays, SAP Concur and Thomson Reuters. The company raised $10M in a Series A to accelerate product development and revenue growth and to expand engineering and sales teams in the U.S. It plans to invest in community support, marketing, human resources and sales in Silicon Valley while keeping primary software and product development in Cologne, Germany. Total funding to date after the round is $17M. ArangoDB GmbH develops the ArangoDB open-source NoSQL database, which unifies graph, key/value and JSON-document data models under a single query language. Led by Co-Founder and CEO Claudius Weinberger and based in Cologne, Germany, the company positions its product to help startups and enterprises speed innovation cycles, simplify technology stacks and improve on-time, on-budget software delivery. ArangoDB is used across use cases including e-commerce, Internet of Things, analytics, fraud detection, personalization and genomic research. The company reports a global community with over 2 million downloads and more than 3,000 organizations, including Fortune 50 companies, using the database. ArangoDB recently closed the final tranche of a €4.2m funding round led by Target Partners and intends to use the proceeds to accelerate and strengthen its US presence. The funding is expected to support its international expansion and US customer acquisition efforts. ArangoDB GmbH, based in Cologne, Germany, provides a next-generation open-source NoSQL database. Its product, ArangoDB, combines graph, key/value and JSON-document data models in a single database and query language. The platform targets startups and enterprises to speed innovation cycles and simplify technology stacks for use cases including e-commerce, IoT, analytics, fraud detection, personalization and genomic research. Led by co-founders Claudius Weinberger (CEO) and Frank Celler (CTO), the product is used by over 3,000 organizations worldwide, including Fortune 50 companies. The company raised €2.2m in a round led by Target Partners and intends to use the funds to accelerate product development and international expansion.

Participated · Equity · Feb 2019

German Autolabs is a Berlin-based startup building a voice AI platform for the automotive vertical and producing the Chris in-car voice assistant hardware. Chris is a voice AI–enabled digital assistant commercially available in Europe and designed as a retrofit assistant that bypasses traditional automotive development cycles to iterate key AI/NLP models. Key platform assets include a multimodal hybrid (offline/online) Dialogue Management System, deep domain knowledge of driver behaviour, and OS-agnostic access to APIs and other assistant services. The company was founded by Holger G. Weiss and Patrick Weissert. It raised €7m in funding in the reported round. German Autolabs intends to use the funds to expand adoption of Chris. German Autolabs is building a "digital co-driver" that uses AI-based speech and gesture recognition to enable safe interaction with in-car apps. The software is intended to reduce driver distraction while allowing drivers to access content and services in the vehicle. The company says its product will become indispensable to drivers much like GPS navigation did a decade ago. German Autolabs recently raised €2 million in seed funding from Target Partners and business angels. The new funds will be used to accelerate product development and a market launch planned for 2017. The startup highlights a large target market—more than 500 million cars in Europe and North America—as the commercial opportunity for its solution.