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Expression of Interest

Engram · San Francisco

CHECKED 3H AGO

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At a glance

Highlights

  • Build compact memories that capture user knowledge and history.
  • Open a new axis of scaling by studying context at training time.
  • Partner with AI leaders like Microsoft, Notion, and Harvey.

Ideal candidate

Curious builder passionate about memory-centric AI and making models truly personal. Thrives in early-stage ambiguity and wants to shape a new scaling paradigm.

Lab profile

About Engram

Training models that study your work and form compact memories to anticipate questions.

What they build

  • Continually learning models for workspace understanding
  • Engrams — compact memories capturing user knowledge

Known for

  • Continual learning
  • Persistent memory formation
  • Workspace personalization
More about Engram →
Apply on the lab’s site ↗