
Subsalt offers a HIPAA-compliant synthetic data sandbox designed to accelerate healthcare research and AI projects. By eliminating lengthy compliance reviews and custom data masking, Subsalt enables rapid hypothesis testing, solution prototyping, and feasibility studies, allowing seamless transition to real-world data. Their Query Engine for Regulated Data utilizes machine learning and generative AI to create anonymized data that preserves utility for analytics and model training while providing strong re-identification protections and regulatory compliance, including HIPAA's Expert Determination standard. Subsalt supports flexible deployment models and integrates with existing data and ML tools via a Postgres-compatible SQL interface, making it safe, fast, and easy to share and use sensitive data without risking compliance.

Subsalt offers a HIPAA-compliant synthetic data sandbox designed to accelerate healthcare research and AI projects. By eliminating lengthy compliance reviews and custom data masking, Subsalt enables rapid hypothesis testing, solution prototyping, and feasibility studies, allowing seamless transition to real-world data. Their Query Engine for Regulated Data utilizes machine learning and generative AI to create anonymized data that preserves utility for analytics and model training while providing strong re-identification protections and regulatory compliance, including HIPAA's Expert Determination standard. Subsalt supports flexible deployment models and integrates with existing data and ML tools via a Postgres-compatible SQL interface, making it safe, fast, and easy to share and use sensitive data without risking compliance.
Product: HIPAA-compliant synthetic data sandbox that generates schema-preserving, on-demand replicas of regulated healthcare data.
Use case: Speeds research and AI/ML prototyping on sensitive data (example: reducing access time from months to under a week).
Compliance & security: Positions SOC 2 Type II and HIPAA alignment and supports HIPAA Expert Determination / third-party audits.
Founding: Founded 2021; founders include Ben Winokur, David Singletary, and Luke Segars; based in Charlotte, North Carolina.
Funding (summary): Two recorded rounds (Seed 2022-11-30; Non-equity Assistance 2023-05-18); investors listed include Founder Collective, Intel Ignite, and Data Tech Fund.
Sharing and using sensitive, regulated data (especially healthcare/PHI) for research, analytics, and AI/ML while maintaining privacy and regulatory compliance.
2021
Healthcare / Data privacy
Crunchbase lists Founder Collective and Data Tech Fund as investors in the seed round; amounts not disclosed.
Crunchbase lists Intel Ignite as the lead for the May 18, 2023 non-equity assistance round; amounts not disclosed.
“Investors listed include Founder Collective, Intel Ignite, and Data Tech Fund.”