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@EngramLab

scaling compute on your context

San Francisco Se unió Nisan 2026
1 Siguiendo3.9K Seguidores
Engram
Engram@EngramLab·
Thank you to @Nasdaq for supporting Engram on our launch day yesterday! Some have commented that this photo looks AI-generated. It's not. This really happened. Feel free to send this picture to your moms. We're certainly going to.
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Sabri Eyuboglu
Sabri Eyuboglu@EyubogluSabri·
By scaling compute on user context, we reduce token spend. But it's about more than lowering cost. To develop expertise is to reduce the energy it takes to solve a problem, freeing capacity to solve harder problems yet Was great chatting about this with the amazing @LM_Braswell!
Kleiner Perkins@kleinerperkins

The models we use every day are brilliant strangers. They forget your organization the moment a chat ends, then relearn it on the next query. @EngramLab fixes that. It learns your world once and reuses that memory, matching frontier systems on 1-10% of the tokens. @Microsoft, @NotionHQ, and @Harvey are already testing it within their organizations. Congratulations to the team, and hear directly from @dan_biderman (CEO and co-founder) and Sabri Eyuboglu (CTO and co-founder) with @LM_Braswell ⬇️

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Engram
Engram@EngramLab·
Dan and Sabri sat down with @LM_Braswell to talk about our technical direction. Thanks for having us!
Kleiner Perkins@kleinerperkins

The models we use every day are brilliant strangers. They forget your organization the moment a chat ends, then relearn it on the next query. @EngramLab fixes that. It learns your world once and reuses that memory, matching frontier systems on 1-10% of the tokens. @Microsoft, @NotionHQ, and @Harvey are already testing it within their organizations. Congratulations to the team, and hear directly from @dan_biderman (CEO and co-founder) and Sabri Eyuboglu (CTO and co-founder) with @LM_Braswell ⬇️

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Kleiner Perkins
Kleiner Perkins@kleinerperkins·
The models we use every day are brilliant strangers. They forget your organization the moment a chat ends, then relearn it on the next query. @EngramLab fixes that. It learns your world once and reuses that memory, matching frontier systems on 1-10% of the tokens. @Microsoft, @NotionHQ, and @Harvey are already testing it within their organizations. Congratulations to the team, and hear directly from @dan_biderman (CEO and co-founder) and Sabri Eyuboglu (CTO and co-founder) with @LM_Braswell ⬇️
Engram@EngramLab

x.com/i/article/2069…

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Dan Biderman
Dan Biderman@dan_biderman·
Discussing @EngramLab's technical bets with @LM_Braswell at @kleinerperkins's Amazon room.
Kleiner Perkins@kleinerperkins

The models we use every day are brilliant strangers. They forget your organization the moment a chat ends, then relearn it on the next query. @EngramLab fixes that. It learns your world once and reuses that memory, matching frontier systems on 1-10% of the tokens. @Microsoft, @NotionHQ, and @Harvey are already testing it within their organizations. Congratulations to the team, and hear directly from @dan_biderman (CEO and co-founder) and Sabri Eyuboglu (CTO and co-founder) with @LM_Braswell ⬇️

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Engram@EngramLab·
Today we announced our Initial Public Offering, a humble article on X. Thanks to the @NYSE for supporting us so early in our journey! And thanks to all of our lovely supporters here on X dot com for following along. More soon 🔜
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Aryaman Arora
Aryaman Arora@aryaman2020·
this is a wonderful group of people working on really interesting problems! me and @aslanpouthakoun had the very fun (and maybe a little intimidating) experience of giving a talk on finetuning at engram a few weeks ago, and we couldn’t have asked for a better audience
Engram@EngramLab

x.com/i/article/2069…

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Jason Wei
Jason Wei@_jasonwei·
@EngramLab cool vision, congrats on the launch!
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Sabri Eyuboglu
Sabri Eyuboglu@EyubogluSabri·
Modal's been super important for our velocity over the last 6 months - Training on each user's context means scaling out to thousands of GPUs in quick bursts. Modal allowed us to do this from day zero, before we could keep a large committed cluster hot - Our research team experiments with weird parameterizations all the time and needs to make changes to our inference and training servers. Modal makes it super easy for everyone on the team to deploy new endpoints for dogfooding and eval
Akshat Bubna@akshat_b

It's been awesome getting to work with this team on their infra needs over the past few months. Congrats on the launch!

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Cody Blakeney
Cody Blakeney@code_star·
Having fun and liking your coworkers is such an underrated multiplier of research productivity. Lots of stuff can objectively suck about building big models. Staying up late debugging and making sure the gpus are hot. Looking at the data. Having your fun ideas be a bust. Having the trust of the people around you to be open the most charitable interpretation of your ideas who are in it with you is a big deal. It makes the shitty parts more bare able, and makes it easier to feel like everyone’s wins our the teams win.
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