Engram, a San Francisco-based software startup building a learned memory layer for AI, emerged from stealth with $98 million in funding. The company aims to solve the problem of AI models having to relearn organizational context on every query, which drives cost and inefficiency in enterprise AI deployments. The funding round, dated June 23, 2026, was backed by General Catalyst, Kleiner Perkins, Sequoia Capital, Factory, Modern, Amplify Partners, Neo, and notable angels and advisors including Assaf Rappaport, co-founder and CEO of Wiz, Andrej Karpathy, co-founder of OpenAI, and Pieter Abbeel. Engram plans to use the capital to scale the training of its models and further develop its technology, which compresses institutional knowledge into compact, reusable memory. Founded in 2026 by researchers from Stanford, Berkeley, and Cornell, including CEO Dan Biderman, CTO Sabri Eyuboglu, Jessy Lin, Jack Morris, Scott Linderman, and Chris Ré, Engram builds a learned memory layer that allows AI models to study an organization's specific context.