Betterdata
Betterdata is a Singapore-based synthetic data infrastructure company founded in 2021, specializing in privacy-preserving AI solutions for enterprise data challenges.
Profile
Creates synthetic data that mimics real datasets for AI training and testing without privacy risks.
Betterdata is a Singapore-based synthetic data infrastructure company founded in 2021, specializing in privacy-preserving AI solutions for enterprise data challenges. The company has developed a proprietary platform that generates high-quality synthetic data while maintaining statistical fidelity to real datasets, enabling organizations to bypass privacy restrictions. Their work with the U.S.
Department of Homeland Security demonstrates their capability in sensitive government applications, where they created a TFM-based data sandbox for cybersecurity training without exposing real data. While financial details are not publicly disclosed, their client portfolio includes Fortune 500 companies, major Asian banks, and government agencies. The company operates from PIXEL at One North in Singapore and has been actively expanding its use cases across financial services, cybersecurity, and enterprise AI applications. What makes Betterdata notable in 2026 is their focus on solving the data scarcity problem in AI development while addressing growing global data privacy regulations, positioning them at the intersection of two critical enterprise pain points.
Who buys this
- Financial institutions needing synthetic data for risk modeling
- Government agencies requiring privacy-compliant training data
- AI development teams facing data scarcity
- Cybersecurity firms building detection systems
- Luxury brands analyzing customer behavior without compromising privacy
Publicly disclosed clients
- U.S. Department of Homeland Security
- Kajima Corporation
- Fortune 500 Data Storage Provider
- Tier 1 Asian Bank
- Iconic European Luxury Brand
Strengths and what to watch
Strengths
- Proprietary TFM-based technology for high-fidelity synthetic data generation
- Proven government and enterprise deployments in sensitive domains
- Broad applicability across financial services, cybersecurity, and AI development
Watch for
- Limited public financial disclosures make growth trajectory unclear
- Potential competition from larger data platform providers expanding into synthetic data
- Regulatory uncertainty around synthetic data validation in different jurisdictions
Key Information
- Founded
- 2021
- Headquarters
- Singapore
Frequently Asked Questions
What is Betterdata and what do they do?
Betterdata is a Singapore-based company founded in 2021 that generates synthetic data mimicking real datasets for AI training. Their proprietary platform creates privacy-preserving data with statistical fidelity, helping enterprises bypass privacy restrictions while maintaining data utility for development and testing.
How does Betterdata's synthetic data help with AI development?
Betterdata solves AI data scarcity by generating synthetic datasets that preserve statistical patterns of real data without privacy risks. This enables continuous model training and testing, particularly valuable for financial modeling, cybersecurity systems, and customer behavior analysis where real data access is restricted.
What industries use Betterdata's synthetic data solutions?
Betterdata serves financial institutions, government agencies, AI developers, cybersecurity firms, and luxury brands. Their clients include the U.S. Department of Homeland Security, Kajima Corporation, and major Asian banks, demonstrating cross-industry applicability for privacy-sensitive data needs.
How does Betterdata ensure synthetic data quality?
Betterdata uses proprietary TFM-based technology to maintain statistical fidelity between synthetic and real datasets. Their case study with the DHS validated the approach for cybersecurity training, proving synthetic data can effectively replace sensitive real data in mission-critical applications.
Is synthetic data compliant with privacy regulations?
Betterdata's synthetic data helps organizations comply with global privacy regulations by eliminating exposure of real personal information. However, regulatory acceptance varies by jurisdiction, and enterprises should validate synthetic data use cases with legal teams for specific compliance requirements.
Who are Betterdata's main competitors?
While Betterdata has proven government and enterprise deployments, they face potential competition from larger data platform providers expanding into synthetic data generation. Their differentiation lies in specialized TFM technology and demonstrated success in sensitive domains like financial services and cybersecurity.
Sources
- www.betterdata.ai — DHS case study and client reference
- www.betterdata.ai — Client portfolio and use cases
- www.betterdata.ai — Product applications across industries
- www.betterdata.ai — Company overview and product information