Fabric Labs

Fabric Labs

Fabric Labs was founded in New York by Evan Renov and Chris Mendez, both veterans of the venture and technology ecosystem. The firm operates with a thesis that the most consequential companies will emerge at the intersection of artificial intelligence, robotics, and the built world — a posture that distinguishes it from generalist seed funds. While the specific wealth origin behind the firm remains undisclosed, its formation reflects the broader trend of technically fluent operators structuring dedicated vehicles to back deep-tech founders. The firm's strategy centers on pre-seed and seed-stage investments across three primary domains: applied artificial intelligence, advanced manufacturing, and autonomous systems. Fabric Labs targets technical founders building in areas where software and hardware converge — industrial robotics, computer vision for logistics, and AI-native tooling for physical operations. The firm typically leads or co-leads rounds with tickets estimated between $500,000 and $2 million, often alongside multi-stage funds that can provide follow-on capacity. Fabric Labs has backed companies including Viam, the robotics platform founded by MongoDB co-founder Eliot Horowitz, and Standard Bots, a builder of accessible industrial robotic arms. The firm invests primarily across North America, with a concentration in New York and the Bay Area. Fabric Labs operates with a lean partnership structure built for rapid, conviction-led decision making — a model optimized for competing with established seed funds for access to the most sought-after deep-tech founders. The firm's geographic position in New York, at a growing node of robotics and industrial AI activity, supports its sourcing strategy. As of early 2025, the firm continues to actively deploy through its fund structure, backing companies that are building the tooling and physical systems to make autonomous operations commercially viable. Fabric Labs is structurally differentiated by its narrow mandate at the intersection of bits and atoms — a domain where many seed funds lack the technical fluency to lead rounds. By concentrating exclusively on AI-enabled hardware and automation, the firm builds concentrated portfolio density that generalist competitors cannot replicate, creating a discovery engine for later-stage industrial and deep-tech investors.