JSON twin: https://www.healthaidb.com/software/tonic-ai.json
Tonic AI
Tonic.ai is a synthetic data and de-identification platform that produces realistic, privacy-preserving healthcare datasets for development, testing, and AI model training.
Tonic.ai ingests structured, semi-structured, and unstructured healthcare data (including HL7/FHIR and EMR formats) to de-identify, synthesize, subset, and provision production-like datasets. The platform preserves analytical utility while protecting PHI for use cases such as software testing, QA, ML/AI training, RAG/LLM redaction, and digital twin simulations. Offers products like Tonic Structural, Tonic Textual, and Tonic Datasets and provides compliance controls (SOC 2, HIPAA-aligned practices) and enterprise deployment options.
yes
2018
US and EU hosting region options; support for customer-controlled cloud regions / self-hosting
P1664
2025-09-07
commercial / proprietary
Contact vendor for pricing; enterprise tiers and cloud/self-host options available; trial/demo available by request.
enterprise_quote
Connectors for Postgres, MySQL, SQL Server, Snowflake, BigQuery, Redshift; otherwise SaaS-hosted (no customer hardware required)
product
1.0
{
"company_name": "Tonic AI",
"company_url": "https://www.tonic.ai",
"company_offices": [
"United States",
"United Kingdom"
],
"company_founding": "2018",
"product_url": "https://www.tonic.ai/products",
"categories": [
"data de-identification",
"synthetic data",
"test data management",
"data privacy",
"data synthesis",
"unstructured data de-identification",
"model training",
"ephemeral environments"
],
"market_segment": [
"enterprise",
"smb",
"developer"
],
"links": [
"https://www.tonic.ai",
"https://www.tonic.ai/products",
"https://www.tonic.ai/solutions/industry/healthcare",
"https://docs.tonic.ai",
"https://trust.tonic.ai",
"https://www.tonic.ai/pricing",
"https://elion.health/products/tonic-ai",
"https://www.g2.com/products/tonic-ai/reviews",
"https://www.tonic.ai/press-releases/tonic-ai-acquires-fabricate-expanding-its-leadership-in-synthetic-data",
"https://www.tonic.ai/press-releases/tonic-ai-achieves-hipaa-compliance-certification-ensuring-enhanced-security-for-protected-health-information"
],
"summary": "Tonic.ai is a synthetic data and de-identification platform that produces realistic, privacy-preserving healthcare datasets for development, testing, and AI model training.",
"description": "Tonic.ai ingests structured, semi-structured, and unstructured healthcare data (including HL7/FHIR and EMR formats) to de-identify, synthesize, subset, and provision production-like datasets. The platform preserves analytical utility while protecting PHI for use cases such as software testing, QA, ML/AI training, RAG/LLM redaction, and digital twin simulations. Offers products like Tonic Structural, Tonic Textual, and Tonic Datasets and provides compliance controls (SOC 2, HIPAA-aligned practices) and enterprise deployment options.",
"target_users": [
"software developers",
"QA / testers",
"data engineers",
"data scientists",
"ML/AI teams",
"clinical informaticists",
"privacy & compliance officers",
"platform/DevOps engineers",
"researchers"
],
"specialties": [
"health IT",
"EMR/EHR data",
"clinical analytics",
"AI/ML model training",
"software testing",
"data de-identification",
"synthetic data generation"
],
"regions_available": [
"United States",
"Canada",
"United Kingdom",
"European Union",
"Australia",
"Global"
],
"languages_supported": [
"English"
],
"pricing_model": "enterprise_quote",
"pricing_details": "Contact vendor for pricing; enterprise tiers and cloud/self-host options available; trial/demo available by request.",
"license": "commercial / proprietary",
"deployment_model": [
"SaaS (Tonic Cloud)",
"self-host / on-prem",
"hybrid"
],
"os_platforms": [
"Web UI",
"REST API",
"Python SDK",
"CLI / SDKs"
],
"features": [
"Synthetic relational data generation",
"Unstructured text de-identification and synthesis",
"Data masking and de-identification (structured & semi-structured)",
"Database subsetting",
"Ephemeral databases (on-demand temporary DBs)",
"Mock APIs and test endpoints",
"Named Entity Recognition (NER) for PII/PHI discovery",
"Privacy Hub / sensitivity scanning",
"CI/CD and data refresh pipeline integrations",
"Domain-specific synthetic datasets (Tonic Datasets)",
"Expert determination & government redaction workflows",
"Audit trails and privacy reports",
"Role-based access control (RBAC)",
"Data quality and fidelity controls",
"Support for synthetic data for model training / LLM fine-tuning"
],
"optional_modules": [
"Tonic Structural",
"Tonic Textual",
"Tonic Fabricate",
"Tonic Ephemeral",
"Tonic Datasets (service/BETA)"
],
"integrations": [
"Snowflake",
"Databricks",
"Google BigQuery",
"Amazon Redshift",
"PostgreSQL",
"MySQL",
"Microsoft SQL Server",
"Amazon S3",
"Google Cloud Storage",
"Azure Blob Storage",
"GitHub / CI systems",
"Identity providers (SSO/SAML/OAuth)"
],
"data_standards": [
"FHIR",
"HL7 v2",
"CSV",
"JSON",
"SQL"
],
"api_available": "yes",
"system_requirements": "Connectors for Postgres, MySQL, SQL Server, Snowflake, BigQuery, Redshift; otherwise SaaS-hosted (no customer hardware required)",
"compliance": [
"SOC 2",
"HIPAA (supports BAA)",
"GDPR"
],
"certifications": [
"SOC 2 Type II"
],
"security_features": [
"Encryption in transit",
"Encryption at rest",
"RBAC",
"SSO / SAML",
"Audit logging",
"2FA (where supported)",
"Annual 3rd-party penetration testing"
],
"privacy_features": [
"BAA available",
"Deterministic de-identification / anonymization",
"Expert determination workflows",
"Privacy/sensitivity scanning",
"Data minimization and subsetting"
],
"data_residency": "US and EU hosting region options; support for customer-controlled cloud regions / self-hosting",
"customers": [
"Patterson",
"JPMorgan Chase",
"Migros",
"Cigna",
"Signify Health",
"American Express",
"Texas Capital",
"Avant",
"GoFundMe",
"NHL",
"Volvo",
"eBay",
"CVS Health",
"Cityblock",
"Walgreens",
"Philips",
"Wellthy",
"Everlywell",
"Flywire"
],
"user_reviews": [
"Tonic Validate is much more reliable — it has its own open-source metrics package and UI you can use to monitor performance in real workflows."
],
"ratings": [],
"support_channels": [
"email",
"documentation",
"webinars",
"tutorial_videos",
"live_online",
"ticketing"
],
"training_options": [
"documentation",
"webinars",
"live_online",
"tutorial_videos",
"release_notes"
],
"release_year": "",
"integration_partners": [
"AWS"
],
"id": "P1664",
"slug": "tonic-ai",
"type": "product",
"version": "1.0",
"last_updated": "2025-09-07",
"links_json": {
"self": "https://www.healthaidb.com/software/tonic-ai.json"
}
}