Activeloop
New accelerator entry · 2018-04-25 · the record
In their words
We provide a simple API for creating, storing, versioning, and collaborating on multi-modal AI datasets of any size. With Activeloop's open-core stack, you can rapidly transform and stream data while training models at scale. Deep Lake powers foundational model training by acting as a vector database with significant benefits, such as (1) the ability to use multi-modal datasets to fine-tune your own LLM models, (2) storing both the embeddings and the original data with automatic version control, so no embedding re-computation is needed (3) truly serverless service with no vendor lock-in. How cool is that? GitHub loves us - we're one of the fastest-growing libraries there, and we're used by little-known companies like Google, Waymo, and Intel. No big deal. Our founding team hails from places like Princeton, Stanford, Google, and Tesla, and we're backed by Y Combinator & other Silicon Valley heavyweights. Activeloop is hiring, and we want you! Check out our open roles on our YC page and join the fun. 10-min demo: https://activeloop.wistia.com/medias/aibvo0dst2 Whitepaper: https://www.deeplake.ai/whitepaper
What the record says
- One of 329 companies held here in B2B › Infrastructure.
No investor is drawn from a Form D — the form states how many invested and never who. The one investor on this graph is named because a batch has exactly one.
The full profile
Source Check, INVEST, RECRUIT and Press Requests on Activeloop
- Source Check — verify what Activeloop states, against the registers that hold it.
- INVEST — size up this company on the figures its record states.
- RECRUIT — see who is already on the team.
- Press Requests — connect with Activeloop for a story.
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Sourced from the company's Y Combinator directory entry.