Asimov
Asimov collects real-world human movement data from households and businesses to train humanoid robots. Unlike factory datasets that capture the same tasks in the same environments, we deliver the full diversity of real human environments, thousands of hours a day to leading labs.
Y Combinator
yc-company-directory #5995Asimov collects real-world human movement data from households and businesses to train humanoid robots. Unlike factory datasets that capture the same tasks in the same environments, we deliver the full diversity of real human environments, thousands of hours a day to leading labs.
sourceAndreessen Horowitz
a16z-investment-list #80Asimov is classified as Data and analytics 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 Asimov
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.
Sepal AI
match 57Sepal is a data research company on a mission to advance human knowledge and capabilities through safe AI. We partner with the world’s leading AI labs and enterprises to help their models get better at the tasks people actually want them to do. We’ve built a Cloud-Native Agent Dataset Factory which turns the process of generating evaluation and training data from manual, inconsistent, and labor-intensive into something automated, standardized, and scalable. Sepal AI was founded in 2024 by engine
shared product terms: human, train, factory, dataset; shared affiliation: Y Combinator
Vision Lab
match 54We capture and structure real factory workflows at scale by combining first-person industrial video with SOP-level process knowledge. This enables robotics and AI labs to train on real production data, not just controlled lab environments.
shared product terms: real, train, factory, capture; shared product theme: context and memory; shared affiliation: Y Combinator
Praxis AI
match 54Praxis captures the data physical AI is bottlenecked on: egocentric video, 3D scans, and multimodal capture from inside real industrial and residential environments. Embedded within publicly listed and unicorn-scale conglomerates, we reach 60k workers across 5 continents and 150+ environment types, supplying the real-world training data frontier labs and humanoid companies can't source anywhere else.
shared product terms: real, train, humanoid, capture; shared product theme: context and memory; shared affiliation: Y Combinator
Mobot
match 54Mobot (YC W19) is a QA-as-a-service platform using actual mechanical robots to automate testing of repetitive functions on real mobile devices. Mobot's human-supervised robots make it possible to automate mobile app tests that emulators, virtual devices, and existing frameworks can't. This approach eliminates thousands of hours of manual testing, increases testing efficiency and physical device coverage, and captures more bugs in-app before app store launches than software can do alone.
shared product terms: real, human, robot, capture; shared product theme: context and memory; shared affiliation: Y Combinator
PiinPoint
match 46PiinPoint is changing the way businesses identify the best location for expansion. Our modern day SAAS solution enables businesses to use powerful tools to search and validate locations throughout North America. We centralize a variety of datasets such as traffic, demographics, and available commercial real estate to ensure businesses can make a fast and reliable decision about where to expand.
shared extracted concept terms: businesse; shared product terms: real, businesse, dataset, day; same category: Data and analytics; shared affiliation: Y Combinator
Autograph
match 6Other company.
shared affiliation: Andreessen Horowitz; nearby official-directory cohort