
Betterdata
Betterdata is an enterprise synthetic data platform for generating data, protecting privacy, and supporting analysis.
What Betterdata is
Betterdata is an enterprise synthetic data platform for generating data, protecting privacy, and supporting analysis. Its stated uses include AI and machine-learning development, analytics, system testing, and secure data sharing. A workflow covers data ingestion and model training before generating synthetic data with quality and privacy assurance reports. The platform lists tabular, relational, time-series, and text-in-table modalities, with structured inputs from CSV, JSON, Parquet, Excel, and live database connectors. Listed models include TabTreeFormer, ARF, CTAB-GAN-DP, Tabula, IRG-GAN, SPN, Fractal-TSG, TS-V0, and TS-V1. Privacy and access controls include differential privacy, anonymization, dataset versioning and locking, CIS-hardened packages, and role-based permissions. Deployment options include on-premise installations, including air-gapped environments, and cloud deployment on GCP, AWS, Azure, and Alibaba Cloud. Betterdata positions the platform for enterprises and governments, including finance and healthcare. Input datasets require at least 100 rows; 1,000–3,000 rows are recommended for good generation. Pricing is available by contacting sales.
Good
- Supports four listed data modalities
- Accepts common structured file formats and database connectors
- Offers on-premise and multiple cloud deployment options
- Lists differential privacy and anonymization controls
- Includes quality and privacy assurance reports
Watch out
- Input datasets require at least 100 rows
- Pricing is available by contacting sales
- Platform is listed for Linux and self-hosted use
Who it suits
Betterdata is aimed at enterprises and government organizations working with synthetic data for AI/ML, analytics, testing, or secure sharing. Its deployment options may suit organizations requiring on-premise or cloud environments, including air-gapped use.
Verdict
Betterdata offers synthetic data generation with listed privacy controls and multiple deployment paths for enterprise and government use. Organizations should confirm pricing and whether their input datasets meet the minimum size.
Plans and prices
From Betterdata's own pricing page, checked 9 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Enterprise | Priced on request | Pricing by contact with sales |
The facts
Each one read from Betterdata's own pages, with the date it was checked.
The company
- Company
- Betterdata says it is based in Singapore and was founded in 2021 by Dr. Uzair Javaid.checked 9 Oct 2026
- Founded
- 2021checked 28 Sep 2026
- Headquarters
- Singaporechecked 28 Sep 2026
What it does
- Data formats
- The product page lists CSV, JSON, Parquet, Excel, and live database connectors for structured data ingestion.checked 9 Oct 2026
- Data modalities
- The product page lists tabular, relational, time-series, and text-in-table data modalities.checked 9 Oct 2026
- Deployment
- Betterdata says it supports on-premise deployment, including air-gapped environments, and cloud deployment on GCP, AWS, Azure, and Alibaba Cloud.checked 9 Oct 2026
- Generation workflow
- The product describes data ingestion, model training, and synthetic data generation with quality and privacy assurance reports.checked 9 Oct 2026
- Input minimum
- The FAQ states a minimum input dataset size of 100 rows and recommends 1,000–3,000 rows for good generation.checked 9 Oct 2026
- Models
- Listed models include TabTreeFormer, ARF, CTAB-GAN-DP, Tabula, IRG-GAN, SPN, Fractal-TSG, TS-V0, and TS-V1.checked 9 Oct 2026
- Privacy controls
- The product page lists integrated differential privacy, advanced anonymization, versioning and dataset locking, CIS-hardened packages, and role-based access permissions.checked 9 Oct 2026
- Product
- Betterdata provides an enterprise synthetic data platform for data generation, privacy protection, and analysis.checked 9 Oct 2026
- Support and demo
- The contact page offers a demo using the prospect’s dataset with a generated synthetic dataset and privacy and utility metrics report.checked 9 Oct 2026
- Target users
- The company describes its platform for enterprises and governments, including use in finance, healthcare, and government.checked 9 Oct 2026
- Uses
- The product is positioned for AI/ML development, analytics, system testing, and secure data sharing.checked 9 Oct 2026
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