Zumo Labs
Zumo Labs builds synthetic training datasets for computer vision models using game engine rendering, serving AI/ML teams needing labeled image data. Founded 2019 in San Francisco; raised seed funding from Y Combinator in 2020.
- Company typePrivate
- Founded2019
- HeadquartersSan Francisco, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
Zumo Labs firmographics
Firmographics- Name
- Zumo Labs
- Website
- https://zumolabs.ai
- Company type
- Private
- Founded year
- 2019
- Operating status
- Unknown
- Headcount range
- 1–10 employees
- Short description
- Zumo Labs builds synthetic training datasets for computer vision models using game engine rendering, serving AI/ML teams needing labeled image data. Founded 2019 in San Francisco; raised seed funding from Y Combinator in 2020.
- Ownership category
- akta.pro rank
Zumo Labs industry classification
Industry- Product category
- Synthetic Training Data
- akta.pro primary industry
- Bias, Fairness & Representativeness Testing for Datasets (HDAAALAK)
Keywords
Where Zumo Labs is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Markets served
Zumo Labs business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D
Zumo Labs product offering
Product offeringCore offering
Zumo Labs uses game engines to produce synthetic training data for computer vision models. The company generates labeled image and video datasets programmatically, enabling AI/ML teams to train and improve computer vision systems without relying exclusively on real-world data collection.
Differentiator
Problem solved
Functional benefit
Products and services
- Synthetic Training Data for Computer Vision
Companies that use Zumo Labs
Customer profileIdeal customer profiles1 record
Zumo Labs technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Zumo Labs competitors and assessment
Company assessmentDirect peers
- Synthesis AI: Synthesis AI generates synthetic data for computer vision models using Unity-based simulation pipelines. It is the most direct comparable to Zumo Labs across product (synthetic CV data), target market (CV engineering teams), and delivery model (game-engine rendering).
- Datagen: Datagen produces synthetic visual data for computer vision applications, with a strong focus on human-centric imagery. Same product category (synthetic CV training data) and same buyer persona as Zumo Labs.
- Rendered.ai: Rendered.ai is a synthetic data-as-a-service platform for AI/ML training across geospatial, medical, and industrial use cases. Directly comparable in the synthetic-data-for-CV category.
- Neuromation: Neuromation provides synthetic datasets for computer vision and model training with a focus on 3D-rendered, fully-annotated data. Direct competitor in synthetic CV data with adjacent ecosystem plays.
- Sky Engine AI: Sky Engine AI offers a synthetic data and simulation platform for training and validating computer vision models. It competes head-to-head with Zumo Labs in synthetic CV training data for enterprise customers.
Broad incumbents
- Labelbox: Labelbox provides data-centric AI infrastructure including labelling, curation and increasingly synthetic-data tooling. Competes at the platform layer for the same buyer (ML/CV engineering leaders).
- Scale AI: Scale AI is the dominant data-labelling and AI-data infrastructure platform and has expanded into synthetic data. It competes broadly with Zumo Labs as a one-stop data vendor for ML teams, including synthetic CV offerings.
Emerging players
- Mostly AI: Mostly AI specializes in synthetic tabular data with a privacy/regulatory go-to-market. Less direct overlap with Zumo Labs' CV focus, but the same synthetic-data-for-enterprise narrative applies.
- Gretel AI: Gretel.ai offers a developer platform for generating and evaluating synthetic data, with stronger emphasis on tabular/text alongside image. Adjacent rather than direct overlap with Zumo's CV focus.
- CVEDIA: CVEDIA delivers synthetic-data solutions for AI training across computer-vision applications, including smart-city and industrial deployments. Compares to Zumo Labs in synthetic-data-for-CV positioning.
Market position
Customer concentration
Zumo Labs social profiles
Digital presenceZumo Labs financial estimates
Financial estimateRevenue estimate
Valuation estimate
Zumo Labs leadership team
Management profileNumber of profiles
Profiles3 records
Zumo Labs funding detail
Funding detailFunding overview
Funding rounds1 record
Investors2 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Zumo Labs M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Zumo Labs
What does Zumo Labs do?
Zumo Labs uses game engines to produce synthetic training data for computer vision models. The company generates labeled image and video datasets programmatically, enabling AI/ML teams to train and improve computer vision systems without relying exclusively on real-world data collection.
When was Zumo Labs founded?
Zumo Labs was founded in 2019. It employs 1 to 10 people.
Where is Zumo Labs based?
Zumo Labs is headquartered in San Francisco, United States, in the North America region.
Who are Zumo Labs's main competitors?
Direct peers on record are Synthesis AI, Datagen, Rendered.ai, Neuromation and Sky Engine AI. Broad incumbents are Labelbox and Scale AI. Emerging players are Mostly AI, Gretel AI and CVEDIA.
Does Zumo Labs have an API?
No public API is recorded for Zumo Labs.
What industry is Zumo Labs in?
Zumo Labs's product category is Synthetic Training Data. Its primary akta.pro industry code is HDAAALAK, Bias, Fairness & Representativeness Testing for Datasets.