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Synthehol Dataset
What it is
Synthehol Dataset creates synthetic records from a sample dataset, with the stated aim of preserving privacy while retaining statistical characteristics. Users upload a sample, the service analyzes distributions and correlations, and it then generates synthetic rows. Each dataset receives measures for privacy, fidelity, utility, and similarity. The site says generation can reach 10 million rows in about 12 seconds. The platform offers web, API, and self-hosted access, with REST API functionality and batch generation. Export choices include CSV, JSON, Parquet, and Avro, though formats depend on plan. Synthehol says customer data is not sold, shared, or used except to provide its services, and describes the product as built for HIPAA, GDPR, SOC 2, and ISO 27001. Enterprise includes an on-premise deployment option, which the platform page says keeps data within the customer's environment. The maker presents it for ML training pipelines, QA fixtures, and analytics workloads. A free tier is listed, with paid plans beginning at $399 per month.
For and against
For
- Measures privacy, fidelity, utility, and similarity.
- REST API access and batch generation are listed.
- Free tier includes 1,000 monthly credits.
- Enterprise lists an on-premise deployment option.
- Use cases include healthcare, finance, and load testing.
Against
- Free tier is limited to 50,000 rows monthly.
- Starter costs $399 per month.
- Enterprise pricing is custom and not listed.
The verdict
Synthehol Dataset provides a sample-to-synthetic-record workflow with dataset scoring and several deployment and export options. The free tier has monthly credit and row limits, while enterprise deployment and pricing are tailored.
Who it suits
It suits teams generating data for ML training, QA fixtures, or analytics workloads. The listed industry use cases include healthcare, banking and finance, pharmaceuticals, insurance, retail, and load testing.
Plans and prices
Free
1,000 credits/month · 50K rows/month · 5 projects · 5 datasets
Read 15 Oct 2026 · synthehol.ai
Starter
5,000 credits/month · 5M rows/month · 25 projects · 100 datasets
Read 15 Oct 2026 · synthehol.ai
Starter
5,000 credits/month · 5M rows/month · 25 projects · 100 datasets
Read 15 Oct 2026 · synthehol.ai
Professional
50,000 credits/month · 50M rows/month · 125 projects · 500 datasets
Read 15 Oct 2026 · synthehol.ai
Professional
50,000 credits/month · 50M rows/month · 125 projects · 500 datasets
Read 15 Oct 2026 · synthehol.ai
Enterprise
Custom credits and volume pricing · Dedicated infrastructure · Unlimited projects, datasets and users · Unlimited storage and retention
Read 15 Oct 2026 · synthehol.ai
On the record
- API
- The product documentation states that every plan, including Free, includes full REST API access.lagrangedata.ai · read 15 Oct 2026
- Capterra deployment listing
- Capterra's profile lists Web, Android and iPhone/iPad deployment options.capterra.com · read 15 Oct 2026
- Capterra feature listing
- Capterra lists 25 capabilities for SyntheholAI, including audit trails, authentication, data profiling, generative AI, HIPAA compliance and real-time monitoring.capterra.com · read 15 Oct 2026
- Company identity
- G2 identifies the seller as Synthehol, founded in 2025, headquartered in Charlotte, United States, with one LinkedIn employee.g2.com · read 15 Oct 2026
- Compliance
- The product is presented as built for HIPAA, GDPR, SOC 2 and ISO 27001 requirements.lagrangedata.ai · read 15 Oct 2026
- Deployment
- Enterprise includes an on-premise deployment option, and the platform page says data never leaves your environment.synthehol.ai · read 3 Oct 2026
- Documentation depth
- The public product pages describe workflow, scores, exports, pricing and API availability but do not expose SDK documentation or endpoint reference material.synthehol.ai · read 15 Oct 2026
- Enterprise support
- Enterprise lists phone, email, and Slack support, a dedicated account manager, and a 99.9% uptime SLA.synthehol.ai · read 3 Oct 2026
- Export formats
- CSV and JSON exports are available broadly, while Professional and Enterprise add Parquet and Avro.lagrangedata.ai · read 15 Oct 2026
- Exports
- The page lists CSV, JSON, Parquet, and Avro export formats, with formats varying by plan.synthehol.ai · read 3 Oct 2026
- External dependencies
- The product page advertises generation without external LLM dependencies.synthehol.ai · read 15 Oct 2026
- Generation monitoring
- The maker describes real-time job tracking and batch processing for its high-throughput engine.synthehol.ai · read 15 Oct 2026
- Generation speed
- Synthehol advertises generation of 10 million rows in approximately 12 seconds.synthehol.ai · read 15 Oct 2026
- Input formats
- The product page says users can upload CSV or JSON data or connect a data source.synthehol.ai · read 15 Oct 2026
- Integrations
- Enterprise is described as including custom integrations, while the standard workflow accepts a connected data source.synthehol.ai · read 15 Oct 2026
- Intended users
- The maker describes Synthehol Dataset as suited to ML training pipelines, QA fixture generation, and analytics workloads.synthehol.ai · read 3 Oct 2026
- Leadership
- LagrangeDATA.ai's management page names Jitendra Devabhaktuni as founder and CEO.lagrangedata.ai · read 15 Oct 2026
- Licence
- The public product pages do not identify an open-source licence for the Dataset service or publish source code.synthehol.ai · read 15 Oct 2026
