Building the Future ofPrivacy-Safe Data

We're on a mission to unlock the full potential of data while protecting individual privacy. Our synthetic data platform empowers organizations to innovate responsibly and accelerate AI development without compromising security.

Our Mission

To democratize access to high-quality data while ensuring complete privacy protection. We believe that data-driven innovation should not come at the cost of individual privacy or regulatory compliance.

By making synthetic data generation accessible, reliable, and enterprise-ready, we're enabling organizations worldwide to unlock insights, build better AI models, and drive innovation without ethical concerns.

Our Vision

A world where every organization can harness the power of data without privacy trade-offs. We envision a future where synthetic data becomes the standard for AI development, testing, and analytics.

Through continuous innovation in generative AI and privacy-preserving technologies, we're building the foundation for responsible data science that benefits everyone.

Our Core Values

The principles that guide our decisions and shape our culture

Privacy First

Every decision we make prioritizes user privacy and data protection. We believe privacy is a fundamental right, not a luxury.

Scientific Rigor

Our solutions are grounded in peer-reviewed research and proven methodologies. We value evidence-based innovation over hype.

Customer Success

We measure our success by our customers' achievements. Their challenges become our innovation roadmap and their wins inspire us.

Global Impact

We're building technology that benefits everyone, everywhere. Our solutions democratize access to data insights across all industries.

Leadership Team

World-class experts in AI, privacy, and enterprise software

👩‍💼

Dr. Sarah Chen

CEO & Co-Founder

Former Stanford AI researcher with 15+ years in synthetic data and privacy-preserving ML. Led data science teams at Google and Microsoft.

👨‍💻

Marcus Rodriguez

CTO & Co-Founder

Ex-Meta privacy engineer and machine learning expert. Pioneered differential privacy implementations at scale for billions of users.

👩‍🔬

Dr. Aisha Patel

Chief Data Scientist

PhD in Computer Science from MIT. Published 40+ papers on generative models and privacy-preserving techniques. Former Apple Research.

👨‍🔧

James Thompson

VP of Engineering

Full-stack architect with expertise in distributed systems and cloud infrastructure. Previously led engineering at Snowflake and Databricks.

Our Journey

Key milestones in our mission to transform how organizations use data

2021

Company Founded

Founded by AI researchers and privacy experts with a vision to democratize synthetic data generation.

2022

Series A Funding

$15M Series A led by Andreessen Horowitz to accelerate product development and team growth.

2023

Enterprise Launch

Launched enterprise platform serving Fortune 500 companies across healthcare, finance, and technology.

2024

Global Expansion

Expanded to serve customers in 40+ countries with SOC 2 Type II and ISO 27001 certifications.

Recognition & Achievements

Trusted by industry leaders and recognized by the global tech community

Gartner Cool Vendor

Recognized as a Cool Vendor in AI for Privacy and Data Ethics (2023)

500+ Customers

Trusted by Fortune 500 companies and innovative startups worldwide

Enterprise Certified

SOC 2 Type II, ISO 27001, and GDPR compliant with 99.9% uptime SLA

Join Us in Shaping the Future

We're always looking for talented individuals who share our passion for privacy, innovation, and responsible AI. Help us build the next generation of data tools.