Synthetic Data
Infra for
Enterprise AI
& Data Intelligence
Synthetic Data Infra for Enterprise AI & Data Intelligence
High Quality
Deployed by Governments.
Trusted by Enterprises.
Betterdata is pioneering state-of-the-art (SOTA) synthetic data generation for enterprise-scale AI/ML, analytics, system testing, and secure data sharing. Trusted by Tier 1 banks, federal agencies, and Fortune 500 enterprises to unlock high-quality, compliant data access in strictly regulated environments.​
Department of
Homeland Security
Betterdata’s TFM-based privacy-preserving sandbox enabled DHS to safely accelerate cybersecurity training and anomaly detection without exposing sensitive data.
Kajima
Corporation
By deploying a self-service synthetic data platform, Kajima achieved 60% operational savings while eliminating the need for individual user consent in smart building projects.
Fortune 500 Data Storage Provider
Betterdata let the firm run 20x-scale simulations of complex data systems, cutting QA setup by 40% for quicker, more stable tests.
Iconic European Luxury Maison
Betterdata used synthetic data-boosted modeling to raise VIP conversion rates by ~5%, creating key growth insights from limited client information.
Tier 1
Asian Bank
Betterdata provided daily, instant synthetic data generation, allowing the bank to remove breach liabilities, streamline approvals, and operate fully on-premise without real data.
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Transformsensitive & slow moving real data into secure and shareable synthetic data.
Multi-Model
Engine
Tabular Foundation Model (TFM), Deep Learning (GANs), Tree-based (SPN, ARF), and Transformer-based (LLMs) for best-in-class private synthetic data generation.
Enterprise and
Cloud-Ready
Deploy from one VM to thousands with a single, CIS-hardened package, on-premise, air-gapped, or on any cloud provider
Protected via Differential Privacy
Differential Privacy (DP) guarantees, PII redaction, and regulatory-grade audits produce compliant synthetic datasets giving you access to data in minutes instead of months.
Generate and Augment
High-Quality Synthetic Data
Train your large-scale AI/ML models (LLMs, DGMs, and GANs, etc.) with diverse, fair and balanced synthetic training data for better generalization and domain coverage.
Gartner estimates that by 2030 synthetic data will overshadow real data in AI/ML training

Why Choose Us

Developed over 5 years with over 1 million lines of code, built unmatched scalability, proven performance gains. and optimised to deliverer the best in class, state of the art, synthetic data without compromising customer privacy.  

We have also co-authored Singapore's synthetic data guidelines alongside PDPC and our research is published in leading forums like NeurIPS and ICML. Recognized by Gartner and trusted by organizations like the U.S. DHS and Fortune 500 companies is validation that we are building the future of responsible data-led innovation.
Resources
Access Data 10x Faster