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AI infrastructure

Zumo Labs

At Zumo Labs, we generate synthetic training data for computer vision models. Computer vision is the essential technology that powers the products of the future: autonomous vehicles, smart retail, robotics, smart fitness, security and vision-based analytics. These algorithms require huge amounts of training data. This data is currently collected and labeled manually; a slow, imprecise, expensive process that is rife with bias and privacy issues. Zumo Labs solves all of these problems (and more!)

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 #4372

At Zumo Labs, we generate synthetic training data for computer vision models. Computer vision is the essential technology that powers the products of the future: autonomous vehicles, smart retail, robotics, smart fitness, security and vision-based analytics. These algorithms require huge amounts of training data. This data is currently collected and labeled manually; a slow, imprecise, expensive process that is rife with bias and privacy issues. Zumo Labs solves all of these problems (and more!)

source
generated read
High Signal interpretation

Zumo Labs 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
Computer visionsecuritysmart retailautonomous vehiclessmart fitnessvision-based analyticsrobotics
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 Zumo Labs

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.

SBX Robotics

match 88

SBX Robotics generates synthetic data that teaches robots to see. We use simulation software to create training data 10x faster and cheaper than annotation services or in-house teams. Instead of being blocked on data, our clients send 25 images from their robot’s camera, and receive 25,000 perfectly labeled synthetic training images. SBX data is ready to be used by deep learning computer vision models.

shared extracted concept terms: computer, vision; shared product terms: robotic, generate, synthetic, train; same category: AI infrastructure; shared affiliation: Y Combinator

Overshoot

match 84

Overshoot makes it easy for developers to build and run real-time vision applications. AI can see and understand the physical world. This unlocks new applications in physical security, safety, gaming, robotics and general consumer products. Soon, video agents will watch your home and your pet when you’re away. However, existing platforms make it painful for developers to build these real-time applications. Slow inference. Limited model availability. Break at scale. Overshoot solves this. Today,

shared extracted concepts: robotics; shared product terms: vision, security, robotic, these; shared product theme: security and compliance; shared affiliation: Y Combinator

Halluminate

match 67

We help foundation model labs and enterprises train computer use AI with data and sandboxes. A knowledge worker spends 90% of their day on a computer. A productive AI agent must similarly learn how to use our computers, browsers, and software to deliver real world value. Today, browser and computer use AI is inaccurate, slow, and expensive. Model labs and enterprises who want to improve these agents are bottlenecked by two resources: 1) High quality datasets for benchmarking and evaluations 2) R

shared extracted concept terms: computer; shared product terms: model, labs, train, computer; shared affiliation: Y Combinator

ReTel Technologies

match 64

Retail video analytics powered by computer vision and crowdsourcing.

shared extracted concepts: computer vision; shared product terms: retail, analytic, computer, vision

Dabble

match 63

Dabble is a virtual photo studio for e-commerce powered by hyper-realistic CGI and computer vision. The demand for content in retail is skyrocketing due to the pandemic induced surge in online shopping, but product photography is still extremely slow, tedious and expensive. We’re building a platform to scale and automate product photography for every e-commerce brand.

shared extracted concepts: computer vision; shared product terms: computer, vision, retail, slow; shared affiliation: Y Combinator

Armur Ai

match 44

Decentralized autonomous cyber security

shared extracted concept terms: autonomou, security; shared product terms: autonomou, security; shared product theme: security and compliance; same category: AI infrastructure