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Engram exited stealth on 2026-06-23 with $98M raised; investor LM Braswell says…

2026-06-23 · 17:17 UTC ·@LM_Braswell ·1 min read

Brief

Engram emerged from stealth with $98M in funding, announced by investor LM Braswell, who is leading the Series A and named several partners. The company builds an organization-level “memory” that lets AI reuse context so models stop relearning the same information; Braswell claims its performance rivals frontier models while cutting compute cost substantially.

Why it matters

Engram exited stealth on 2026-06-23 with $98M raised; investor LM Braswell says he is leading the Series A and is partnering with @dan_biderman, @EyubogluSabri, @realJessyLin, @jxmnop, @scott_linderman and Chris.

Key details

  • Engram provides an organization-level “memory” so models can reuse context instead of relearning it; Braswell claims Engram’s results hold up against frontier systems while operating at a fraction of the cost.
Cleaned source text

I'd followed the @EngramLab team's work for years before they joined together to start the company. It was clear they were each obsessed with a problem most of the industry hadn't fully appreciated yet: memory.

Engram gives an organization a memory its AI can reuse, so models stop relearning the same context on every query. The results hold up against frontier systems at a fraction of the cost.

They are out of stealth today with $98M raised. So excited to lead their Series A & partner with @dan_biderman, @EyubogluSabri, @realJessyLin, @jxmnop, @scott_linderman, and Chris!

kleinerperkins.com/perspecti…

Link

Engram: Giving Enterprise AI a Memory

The models we use everyday are brilliant strangers. They synthesize vast amounts of information and solve genuinely hard problems, yet they remember almost nothing about our preferences and the...

kleinerperkins.com

Engram (@EngramLab)

Article

Introducing Engram: Scaling compute on your context

We’re Engram. We’re building AI that learns from you and deeply understands your work.

Today’s AI models don’t understand what you do. Not really. Everything models know comes from their training –

— https://nitter.net/EngramLab/status/2069465879696576844#m