Zumo Labs

InactiveAI-native

We generate synthetic data for computer vision models.

What it does

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.

Next to it in Data for AI · synthetic data for computer vision

  • YDataTechstars TS 2020

    YData data quality for Data Science | Synthetic data Data-Centric AI

  • NeosyncY Combinator S22

    Neosync is an open-source anonymization and synthetic data platform.

  • DatacurveY Combinator W24

    Frontier coding data for training and evaluating LLMs

  • Superb AIY Combinator W19

    Superb AI provides end-to-end computer vision MLOps platform

  • SBX RoboticsY Combinator W21

    Synthetic data for better vision.

  • omniX labsTechstars TS 2018

    Machine Vision. Data. Insights | omniX labs

  • NuminaSOSV SOSV URBAN-X 01

    Real-time insights from streets

  • Recall.aiY Combinator W20

    The API to get recordings, transcripts, and metadata from meetings