Betterdata
Betterdata builds enterprise synthetic-data infrastructure that converts sensitive real data into high-fidelity, privacy-preserving synthetic data for AI/ML development, analytics, software testing, secure data sharing and compliance. Its stated vision is an open data-sharing economy in which enterprises and governments can use data safely.
At a Glance
- Tier-1 banks and financial services
- Healthcare and other regulated enterprises
- Federal and public-sector agencies
- Fortune 500 enterprises
- +2 more
AI Tools by Betterdata
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Betterdata
Enterprise Synthetic Data Platform
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Latest News
Published 'Peeling the Layers of the Privacy-Utility Onion on Tabular Data,' describing layer-by-layer privacy auditing and the privacy-utility tradeoff.
Published 'Synthetic Data Infrastructure for Enterprise AI,' detailing Betterdata's production architecture and enterprise workflows.
Published 'Multi-Table Synthesis: Handling Complex Relational Constraints with IRG-1.'
Published research on auditing differential privacy in synthetic data using reconstruction attacks.
Products & Services
Enterprise platform for ingesting structured data, training generative models and generating high-fidelity synthetic tabular, relational and sequential/time-series data. IRG (Incremental Relational Generator) generates relational databases while preserving primary/foreign-key and referential-integrity constraints; the platform also offers quality and privacy assurance reports.
A proprietary/fine-tuned foundation-model capability for tabular synthetic data, including promptable generation and use where customers have little or no source data; the product page says its pre-trained TFM uses more than 1 billion records.
Market Position
Betterdata positions itself as enterprise-grade synthetic-data infrastructure rather than a simple anonymisation tool: it aims to preserve statistical and structural utility while providing privacy controls, quality reports and deployment flexibility from air-gapped/on-premises environments to cloud. Its synthetic-data competitors include DataCebo and MOSTLY AI (both named alongside Betterdata in the DHS synthetic-data contract program); Betterdata differentiates with relational integrity, multiple proprietary model families, a tabular foundation model and strong Singapore public-sector/privacy-engineering credentials.
Leadership
Founders
Dr. Uzair Javaid
Founder and CEO. He holds a PhD from the National University of Singapore (2017–2021); LinkedIn describes his doctoral work as blockchain-focused.
Kevin Yee
Co-founder and chief technologist at the time of the company's 2023 funding announcement; he explained Betterdata's generative-model and privacy-engineering approach to TechCrunch.
Executive Team
Dr. Uzair Javaid
Founder and CEO
Founded Betterdata in 2021; PhD from the National University of Singapore with doctoral work described on LinkedIn as blockchain-focused.
Abdul Kazi
Chief Information Officer
Listed by Betterdata as CIO on its current About Us leadership page.
Founding Story
Betterdata was started in 2021 by Uzair Javaid and Kevin Yee to make data sharing faster and more secure as global data-protection regulation and privacy awareness increased. The initial vision was to use generative AI and privacy engineering to create fictional datasets that retain the structure and utility of real data without exposing individuals, rather than anonymising away useful information.
Business Model
Revenue Model
Enterprise B2B software/platform sales and paid deployments, with sales-led contact/demo access. The platform supports cloud, on-premises and air-gapped enterprise deployments; public self-serve pricing was not shown.
Target Markets
- Tier-1 banks and financial services
- Healthcare and other regulated enterprises
- Federal and public-sector agencies
- Fortune 500 enterprises
- AI/ML startups and data-science teams
- Software engineering, QA and security teams
- AI/ML model training and pre-training
- Data augmentation, bias reduction and improved domain coverage
- Software and system testing, simulation and QA
- Secure internal and external data sharing and collaboration
- Analytics and customer modelling
- Financial-services compliance, AML and Basel capital modelling
- U.S. Department of Homeland Security
- Shanghai Pudong Development Bank
- Kajima Corporation
- Tier 1 Asian bank