DataCebo
- Company typePrivate
- Founded2019
- HeadquartersWeston, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
DataCebo firmographics
Firmographics- Name
- DataCebo
- Legal name
- DataCebo, Inc.
- Website
- https://datacebo.com
- Company type
- Private
- Founded year
- 2019
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Ownership category
- akta.pro rank
DataCebo industry classification
Industry- Product category
- Synthetic Data Platform
- NAICS
- Software Publishers (513210), Software Publishers (5132)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming Services (7371)
- akta.pro primary industry
- Data Platform (Unified Data & Analytics) Suites (HDAEABAD)
- akta.pro secondary industry
- Data Security & Privacy for Cloud (DLP, DSPM, Tokenization) (HDABAHAK)
Keywords
Where DataCebo is headquartered
LocationHeadquarters
- HQ city
- Weston
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
DataCebo business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D
Revenue model
- SDV Enterprise Subscriptions: SDV Enterprise is a commercial product with flexible, scalable pricing for enterprise customers. The platform is downloadable as on-prem or private cloud SDK, with customers owning trained models and generating synthetic data at scale.
- SDV Community (Open Core): Open-core model where SDV Community provides free access to synthetic data tools, creating land-expand opportunity for upgrading to Enterprise features.
- CAG Bundle Add-on: CAG Bundle is an optional add-on to SDV Enterprise, giving immediate access to 6 CAG patterns plus 2 additional constraints, with more patterns rolling out over time.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Others | SDV Community - Open core free tier for data scientists |
| Subscription | Annual | SDV Enterprise - Commercial enterprise tier |
Go-to-market motion3 records
Distribution channels3 records
Marketing channels8 records
DataCebo product offering
Product offeringCore offering
DataCebo builds the Synthetic Data Vault (SDV), a software platform that uses generative AI models trained on real enterprise data to generate synthetic tabular, multi-table, time-series, and semi-structured data that preserves statistical properties while protecting privacy. The company offers SDV Community as a free open-core platform and SDV Enterprise as a commercial on-premise/private-cloud SDK with advanced synthesizers, evaluation, and database connectors for Fortune 500 customers.
Product overview
DataCebo offers a comprehensive synthetic data platform centered on the Synthetic Data Vault (SDV), consisting of an open-core foundation (SDV Community) and an enterprise-grade commercial offering (SDV Enterprise). The platform generates synthetic tabular, structured, semi-structured, time-series, and geospatial data using generative AI models. Supporting products include SDMetrics for evaluation, SDGym for benchmarking, and Reversible Data Transforms (RDT) for data processing. SDV Enterprise is available as an on-prem developer package with optional bundles including Constraint-Augmented Generation (CAG) for enforcing business logic, Differential Privacy for privacy guarantees, Targeted Sampling for precise data generation, XSynthesizers for advanced modeling, and AI Connectors for database integration. The platform has generated 10+ billion rows of synthetic data and is trusted by 70+ Fortune 500 companies with 30,000+ data scientists using SDV-generated data.
Differentiator
Problem solved
Functional benefit
Brands
- SDV (Synthetic Data Vault): The core open-source and enterprise synthetic data generation platform consisting of SDV Community and SDV Enterprise.
- SDV Community
- SDV Enterprise
- SDMetrics
- SDGym
- RDT (Reversible Data Transforms)
- CAG (Constraint Augmented Generation)
- AI Connectors
Products and services
- SDV Community
Quantifiable outcome
- 100x test coverage improvement in 1/10th the time for ING Belgium SEPA payment testing
- +6 more outcomes
Companies that use DataCebo
Customer profileNamed customers5 records
Segments3 records
Ideal customer profiles4 records
DataCebo technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration5 records
AI capability3 records
Feature8 records
DataCebo partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- Department of Homeland Security (DHS)significantDHS selected DataCebo as one of four startups to develop synthetic data generation systems aimed at enhancing privacy and addressing security threats. This government partnership involves potential funding of up to $1.7 million for developing synthetic data generation capabilities.
Scale indicators9 records
Recent moves6 records
Expansion highlights6 records
DataCebo competitors and assessment
Company assessmentDirect peers
- Gretel.ai: Gretel is a direct competitor offering a synthetic data platform for developers and enterprises, with APIs and tools for generating synthetic text, tabular, and time-series data. Both companies target similar use cases including AI training, testing, and privacy-preserving data sharing.
- Tonic.ai: Tonic.ai provides synthetic data for software testing and development, with a focus on de-identifying production data for test environments. Directly comparable to DataCebo's SDV Enterprise for enterprise test data generation use cases.
- Mostly AI: Mostly AI offers a synthetic data platform focused on structured/tabular data generation for enterprise AI and analytics, with strong financial services focus similar to DataCebo. Both companies provide on-prem deployment and differential privacy capabilities.
- Hazy: Hazy is a synthetic data platform for enterprise use cases, particularly financial services, with focus on generating realistic synthetic datasets that preserve statistical properties. Comparable target market and enterprise GTM motion to DataCebo.
- YData: YData provides a data-centric AI platform with synthetic data generation capabilities focused on improving data quality and model performance. Overlaps with DataCebo in tabular data synthesis and enterprise AI training use cases.
Emerging players
- Synthesis AI: Synthesis AI focuses on synthetic image and video data for computer vision model training, with some overlap in synthetic data generation philosophy but specializing in visual modalities rather than structured data.
- Datagen: Datagen generates synthetic visual data for AI training, with a focus on simulated environments and 3D data. Adjacent to DataCebo in the broader synthetic data market but serving different modality needs.
Broad incumbents
- Google Cloud (Vertex AI): Google Cloud's Vertex AI includes data augmentation and synthetic data capabilities as part of its broader AI platform suite. Represents competitive pressure as an incumbent with deep enterprise relationships and bundled offerings.
- AWS (SageMaker): Amazon SageMaker includes data preparation and synthetic data features as part of its ML platform. A broad incumbent with significant enterprise market presence and ability to bundle synthetic data with cloud services.
Others
- Microsoft (Azure / Purview): Microsoft Azure offers synthetic data and data masking capabilities through its enterprise data and AI platform. A broad incumbent that competes by bundling synthetic data capabilities with existing enterprise contracts.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights6 records
Customer concentration
DataCebo social profiles
Digital presenceDataCebo financial estimates
Financial estimateRevenue estimate
Valuation estimate
DataCebo leadership team
Management profileNumber of profiles
Profiles4 records
DataCebo funding detail
Funding detailFunding overview
Funding rounds2 records
Investors4 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
DataCebo 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 DataCebo
What does DataCebo do?
DataCebo builds the Synthetic Data Vault (SDV), a software platform that uses generative AI models trained on real enterprise data to generate synthetic tabular, multi-table, time-series, and semi-structured data that preserves statistical properties while protecting privacy. The company offers SDV Community as a free open-core platform and SDV Enterprise as a commercial on-premise/private-cloud SDK with advanced synthesizers, evaluation, and database connectors for Fortune 500 customers.
Is DataCebo a public or private company?
DataCebo is a private company. It is classified as venture growth investor backed and is currently operating.
When was DataCebo founded?
DataCebo was founded in 2019. It employs 11 to 50 people.
Where is DataCebo based?
DataCebo is headquartered in Weston, United States, in the North America region.
How does DataCebo make money?
Three revenue lines are on record. SDV Enterprise Subscriptions are the primary driver. The others are SDV Community (Open Core) and CAG Bundle Add-on.
Who are DataCebo's main competitors?
Direct peers on record are Gretel.ai, Tonic.ai, Mostly AI, Hazy and YData. Emerging players are Synthesis AI and Datagen. Broad incumbents are Google Cloud (Vertex AI) and AWS (SageMaker). Microsoft (Azure / Purview) is listed as an others.
Does DataCebo have an API?
No public API is recorded for DataCebo.
What industry is DataCebo in?
DataCebo's product category is Synthetic Data Platform. Its primary akta.pro industry code is HDAEABAD, Data Platform (Unified Data & Analytics) Suites, with a secondary code of HDABAHAK, Data Security & Privacy for Cloud (DLP, DSPM, Tokenization). Its NAICS code is 513210 and its SIC code is 7372.