LDV Capital

LDV Capital is a thesis-driven early-stage venture fund investing in businesses powered by visual technology and artificial intelligence. The firm collaborates with deep tech teams leveraging computer vision, machine learning, and AI to analyze visual data. Since 2012, LDV Capital has invested in pre-inc, pre-seed, and seed-stage teams across North America and Europe. The firm has an extensive network of computer vision and AI experts, serial entrepreneurs, technical advisors, and marketers, which it leverages to help founders navigate the challenges of building businesses powered by visual technologies. LDV Capital's portfolio includes companies such as Gryps, which provides advanced analytics for construction data; ROADIO, the first smart dashcam for two-wheeled vehicles; and Earkick, a free personal AI therapist chatbot. The firm has also invested in Geniachip, a company focused on single-molecule DNA sequencing, and UPSKILL, an enterprise software platform for smart glasses. Other notable investments include Mediachain Labs, which connects media to its creator using blockchain; Farmeron, which brings farm records online; and ShopPad, which helps online retailers build e-commerce solutions. LDV Capital's investment strategy focuses on early-stage companies in the visual technology and AI sectors, aiming to support innovative businesses that leverage these technologies to solve real-world problems. The firm's hands-on approach and extensive network provide valuable resources to its portfolio companies, assisting them in scaling and achieving success in their respective markets. LDV Capital's commitment to investing in visual technology and AI businesses reflects its belief in the transformative potential of these technologies across various industries, including healthcare, construction, automotive, and more. By partnering with visionary entrepreneurs and providing strategic support, LDV Capital aims to foster the growth of companies that are at the forefront of technological innovation and have the potential to make a significant impact in their fields.

Deep technical teams leveraging computer vision, machine learning, and artificial intelligence to analyze visual data, Innovative use of visual technology and AI, Early-stage companies, Strong founding teams with technical expertise, Scalable business models, Potential for significant market impact