Kanu Gulati is a principal at Khosla Ventures, leading the firm’s investments in data, ML/AI, computer vision, and robotic applications. She has over 10 years of operating experience as an engineer, scientist, and strategist. She owned Intel’s multicore algorithms research roadmap and developed advanced parallel CAD solutions. She was employee #2 at MapD (hardware-accelerated data visualization) and has held core engineering roles at Nascentric (fast-circuit simulation tool, acquired by Cadence) and Atrenta (predictive analytics for design verification, acquired by Synopsys), among other startups.
As an early-stage investor, Kanu has led deals in high-performance computing (HPC), distributed systems, and ML-enabled systems at Intel Capital and Zetta Venture Partners and developed the latter’s thesis on industrial analytics, security/encryption, probabilistic and approximate computing, and hardware acceleration.
Kanu has coauthored three books, a book chapter, 35+ peer-reviewed publications with 450+ citations, and one US patent on HPC and hardware acceleration. She has PhD and master’s degrees from Texas A&M University and an undergraduate degree from Delhi College of Engineering, all in computer engineering. She completed her MBA at Harvard Business School.