Overview

Engram Lab builds AI systems that learn from a user’s context to understand their work. Its learned memory layer separates organizational knowledge from model reasoning so enterprise AI workloads don’t reprocess full context for every query. Rather than training on public data, Engram starts from strong pre-trained models and trains on a customer's own documents and workflows, making the model more token-efficient and able to act like a teammate who already knows the work. Its goal is a single training algorithm that continually absorbs data, aiming for faster retraining and lower inference costs for enterprise LLM workloads, positioning itself in AI infrastructure and inference optimization as an alternative to ever-larger context windows and repeated retrieval.