AI infrastructure

Zumo Labs

Website

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

Founded 2020Origin source ↗Checked 2026-09-15

Overview

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!) by creating feature rich synthetic training data in the cloud: cheaper, faster to generate and iterate on, covers all the edge cases, and has no bias or privacy issues.

Company description As recorded 2026-11-08
LinkedIn
AI infrastructureInfrastructureBusinessesEnterpriseUsage & volume pricing

Founders & team

7team members reported
Source-reported As recorded 2026-09-15

Founded 2020 · Source

News & product activity

Sources & observations

Y Combinator

Profile depthverified profile
Website observationsite error
Last website check2026-11-11
Location · source statedSan Francisco, CA, USA; Remote
Pricing evidenceNo pricing page confirmed
Maturity: Not assessed · 3 of 6 areas documented

Source-based assessment · automated evidence rules

The source reports an inactive or acquired company; current product identity needs review.

Maturity is an evidence-based assessment, not a success rating. It may understate the current stage where evidence is limited. Coverage records documented areas, not a complete or independently audited company history.

Stage definitions
independent websitesource corroborationdescriptive evidenceclassified market and modelsourced peoplesourced founding year
startup.observe Directory coverage · Sources & method