Activeloop
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,
Y Combinator
yc-company-directory #1381We 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,
sourceActiveloop is classified as AI infrastructure from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.
Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.
Companies similar to Activeloop
A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.
Artemis Search
match 71Artemis Search is a vector database search with a twist. We use special-purpose deep-learning models instead of using textual / semantic similarity to evaluate how good a search result is. This enables us to actually reason how well search results match the intent of the search query, eliminating the problems that come from evaluating search results on how much they look like the search query.
shared extracted concept terms: deep, vector, database; shared product terms: model, deep, vector, database; shared product theme: developer infrastructure; same category: AI infrastructure; shared affiliation: Y Combinator
Understudy Labs
match 62An open-source toolkit to capture traces, evaluate cheaper models against benchmarks, and ship specialist routes you own. Capture traces from LLM production workflows with a single install that deploys within coding agents you already use. Hosted infrastructure is optional. Evaluate the captured traces and set a benchmark for success. Every future model switch meets or exceeds it in A/B testing. Train and fine-tune a new model on prompts and weights you always own. Start locally and scale into c
shared product terms: train, model, scale, fine; shared product theme: developer infrastructure; shared affiliation: Y Combinator
Mindee
match 59Documents are everywhere. Through all industries, understanding their content is a critical step of many processes that software builders throughout the globe want to automate. We focus on the science, the AI, the deep learning to give these builders the one API they need to automate the understanding of documents and give their software human-like superpowers. Based on three pillars: - A product: a universal self-service platform where builders can train their own models - A catalog of use-case
shared extracted concept terms: deep; shared product terms: api, train, model, deep; shared product theme: developer infrastructure; same category: AI infrastructure; shared affiliation: Y Combinator
Telmai
match 51Telmai is a Data observability and Data Quality platform designed for Open architecture. It monitors data stored/managed in any data system, such as a data lake or data warehouse, in its raw format at scale without sampling
shared extracted concept terms: lake; shared product terms: stor, any, scale, lake; shared affiliation: Y Combinator
OpenTools
match 25The API for LLM tool use
shared product terms: api, llm; shared product theme: developer infrastructure; same category: AI infrastructure; shared affiliation: Y Combinator
Ecliptor
match 12AI and Embeddings.
shared product terms: embedding; same category: AI infrastructure; shared affiliation: Y Combinator