Real data is off-limits.
Synthetic data isn't.
Your dev teams are blocked waiting on data access. Your ML pipelines need training data. Your compliance team needs PII out of the picture. Synthehol's three purpose-built products generate, structure, and protect enterprise data - so you can build, test, and share without touching a single real record.
The data you need is locked away.
Data access requests sit in queues for weeks. Production data is off-limits for testing. Sharing customer records with third parties triggers legal reviews. Meanwhile your AI models stall, your QA environments run on stale fixtures, and your teams work around the problem instead of through it. Synthehol removes the bottleneck.
No more waiting on approvals
Generate statistically faithful synthetic data on demand - your teams get what they need in minutes, not weeks.
No PII, no compliance risk
Every output is mathematically de-identified. Share freely with vendors, partners, or offshore teams - no legal review required.
One suite, every use case
Flat-file generation, relational databases, or privacy shielding - three purpose-built tools, one unified platform.
Built for teams that can't afford data risk.
Synthehol is for everyone stuck between "we need data" and "you can't have it." Whichever side of that conversation you're on, we have a product for you.
Your model is only as good as your training data.
Waiting on data labeling or access approval kills iteration speed. Generate large, high-fidelity training datasets on demand - no PII, no legal review, no bottleneck.
Try Synthehol DatasetDev environments that actually look like production.
Seeding test environments with realistic data shouldn't require copying production. Generate full relational databases with referential integrity - in minutes, from a plain-English description or a schema file.
Try Synthehol DBShare data. Not liability.
When a vendor, offshore team, or analytics partner needs a dataset, you need PII out of it first. Shield applies configurable obfuscation pipelines aligned to HIPAA, GDPR, and SOC 2.
Try Synthehol ShieldHIPAA-compliant development, without the headache.
PHI can't leave the production environment - but your dev team still needs realistic patient records for testing. Synthehol generates synthetic EHR and claims data that's safe to use anywhere.
Explore the SuitePCI-DSS and GLBA testing, minus the risk.
Transaction records, account data, credit histories - the data your teams need to build on is also the most sensitive. Generate synthetic financial datasets that mirror real distributions without exposing actual customers.
Explore the SuiteUnblock every downstream consumer of your data.
Data engineers are the gatekeepers. Synthehol lets you provision safe, schema-consistent data to every team that asks - without managing one-off anonymization scripts per request.
Explore the SuiteThree products. One mission.
Every product in the Synthehol family is purpose-built for a distinct stage of the synthetic data workflow - generate, structure, or protect. Use one or all three.
Not sure which product you need?
Synthehol Dataset
Flat-File Synthetic Data Generation
Upload any tabular dataset and generate millions of statistically accurate, privacy-preserving synthetic rows in under a minute. Purpose-built for ML training pipelines, QA fixture generation, and analytics workloads that can't touch real customer data.
Free tier available - see pricing on product page.
Explore Dataset
Synthehol DB
Relational Synthetic Data Generation System
Describe your database in plain English and get a fully populated, referentially consistent synthetic database in minutes. Built for dev and test environment provisioning, software demos, and data architecture prototyping - no production data required.
Free tier available - see pricing on product page.
Explore DB
Synthehol Shield
Data Privacy & Obfuscation Engine
Upload real data containing PII - names, SSNs, emails, financials - and get a de-identified version that retains the statistical shape of the original. Drop it into your existing ETL or MLOps pipelines without rewriting your data workflows.
Free tier available - see pricing on product page.
Explore ShieldFrom blocked to unblocked in three steps.
Whether you're generating, structuring, or shielding data - the workflow is fast, auditable, and privacy-first. No complex setup. No data science degree required.
Point to your data
Upload a CSV, paste a schema, describe your tables in plain English, or connect an existing dataset. Each product meets you where your data already lives.
Generate or protect
Synthehol's engines produce statistically faithful synthetic rows, build relational databases with referential integrity, or apply differential privacy transformations - typically in under a minute.
Validate & export
Every output includes fidelity, utility, and privacy scores so you can verify quality before it touches a pipeline. Export in your format of choice and share freely - no legal review needed.
Real problems. Real workflows.
Here's how teams like yours are using Synthehol to remove data access bottlenecks and ship faster.
Training a fraud classifier without enough labeled examples
An ML team building a fraud detection model had 10,000 real transaction records - not enough to train reliably, and too sensitive to share across teams. Using Synthehol Dataset, they generated 500,000 statistically faithful synthetic transactions with fidelity scores above 94%, unblocking the entire training pipeline.
Solved with Synthehol DatasetSeeding a dev environment that actually mirrors production
A backend team at a fintech company spent days manually crafting test fixtures every sprint. They switched to Synthehol DB - describing their schema once in plain English - and now spin up a fully populated, referentially consistent test database in minutes before every release cycle.
Solved with Synthehol DBSharing patient data with a third-party analytics vendor
A healthcare company needed to share patient engagement data with an external analytics firm. Their compliance team had blocked every previous attempt due to HIPAA. Using Synthehol Shield, they ran the dataset through a configurable obfuscation pipeline and delivered a de-identified export the same day - no legal review required.
Solved with Synthehol ShieldBuilt for regulated industries.
Synthehol's architecture is designed to operate within the strictest data privacy frameworks. Our products help your team meet compliance obligations - not create new ones. Formal certifications are in progress.
HIPAA
U.S. healthcare data privacy and security.
SOC 2
Trust Services Criteria for security and availability.
GDPR
EU data protection and privacy regulation.
ISO 27001
Information Security Management System (ISMS).
Latest Insights
Thoughts on synthetic data, AI, privacy engineering, and the future of enterprise data workflows.
Let's talk about your data.
We're working with a select group of early customers to shape the Synthehol roadmap. If your team is blocked by data access, compliance constraints, or PII risk - we want to hear your use case.
Stop waiting on data access.
Your teams shouldn't be blocked by compliance reviews, legal sign-offs, or PII risk. Each Synthehol product has a free tier - explore the suite and try the one that fits your use case first.