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AI infrastructure

OS3

Semi-humanoid robots that do real physical labor. Building hardware and training models, each driving the other. Already deploying in hospitality.

sources
1
Evidence entries preserved.
affiliations
1
Y Combinator
competitors
6
Mapped from High Signal graph features.
status
generated
D1 lookup
last updated
2026-07-15
16:41 UTC
source evidence
Why this company exists here

Y Combinator

yc-company-directory #3184

Semi-humanoid robots that do real physical labor. Building hardware and training models, each driving the other. Already deploying in hospitality.

source
generated read
High Signal interpretation

OS3 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.

offline extraction
Product facets
hospitalitySemi-humanoid robotstraining modelsOS3
mapping method
Similarity graph

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.

discovery cluster

Companies similar to OS3

AI infrastructure · 6 peers

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.

Origami Robotics

match 65

We are building a "manipulate anything" model with the robot hardware that embodies it. We designed a hand-based data-collection device and a high DOF, direct drive robotic hand that match each other exactly, enabling us to eliminate embodiment gap and collect real-world data and deploy it directly. We want to scale real world manipulation data by deploying our devices "in the wild" like manufacturing factories, logistic centers to collect Tesla like data, use these data to train our model and t

shared product terms: model, robot, hardware, other; shared product theme: developer infrastructure; same category: AI infrastructure; shared affiliation: Y Combinator

Human Archive

match 54

We’re archiving the physical world for embodied intelligence by collecting and labeling aligned multimodal data. To build dexterous and perceptive robots that generalize robustly, we need massive amounts of real-world data across multiple modalities and environments. We have thought deeply about the fine line between biomimicry and its application to humanoid systems. Based on this research, we design and deploy custom hardware across residential and manufacturing settings. We then post-process

shared product terms: physical, robot, real, humanoid; shared product theme: developer infrastructure; shared affiliation: Y Combinator

InEvent

match 42

InEvent is an all in one platform that allows you to use multiple solutions (website, registration, mobile app, hospitality, check-in, badge printing, budgeting, etc) altogether, without having to upload data 3-4x times on different pages. Everything is available on the cloud, 24x7, for you and your attendees. Most of our competitors have modules that don't talk with each other, we solved this by creating a solid foundation that all of our solutions are built upon. We have already successfully i

shared extracted concepts: hospitality; shared product terms: hospitality, other, already; shared product theme: developer infrastructure; shared affiliation: Y Combinator

Robocurve

match 36

Robocurve builds open-source tools and independent benchmarks to measure how well robots can do real-world jobs. Instead of relying on unverified demo videos from frontier labs, we score their models on reproducible benchmarks that anyone can trust. Today there are no well-run, standardized robotics benchmarks. Labs evaluate in-house, and no independent group has stepped in to run continuous benchmarking as a service. The result is that no one actually knows how good anyone else is, or where the

shared product terms: robot, do, real, model; same category: AI infrastructure; shared affiliation: Y Combinator

LLM Stats

match 36

We build independent and contamination-proof benchmarks that measure real world performance. LLM Stats is the most complete LLM leaderboard. We have the most complete archive of LLM benchmark results and also run independent evaluations that are not the classical ones that are already in the training data of most models. Our mission: become the biggest community dedicated to AI transparency.

shared product terms: real, already, train, model; same category: AI infrastructure; shared affiliation: Y Combinator

UpMarket

match 28

Building the infrastructure layer that runs hospitality - from Airbnbs to hotel chains

shared extracted concepts: hospitality; shared product terms: hospitality; shared product theme: developer infrastructure; same category: AI infrastructure