Synthehol Dataset
Synthehol Dataset creates synthetic records from a sample dataset, analyzing distributions and correlations before generating rows.
What Synthehol Dataset is
Synthehol Dataset creates synthetic records from a sample dataset, analyzing distributions and correlations before generating rows. It measures datasets for privacy, fidelity, utility, and similarity, and the site says it can generate 10 million rows in about 12 seconds. The service offers web, API, and self-hosted options, including REST API access and batch generation. CSV and JSON exports are available on Free and Starter; Professional adds Parquet and Avro, with formats varying by plan. The maker presents it for ML training pipelines, QA fixture generation, and analytics workloads, with applications spanning healthcare, finance, pharmaceuticals, insurance, retail, and load testing. The site says customer data is not sold, shared, or used beyond delivering its services and describes the product as built for HIPAA, GDPR, SOC 2, and ISO 27001. Free costs nothing and includes 1,000 credits per month and 50K rows per month. Starter costs $399 a month; Professional costs $2,999 a month. Enterprise pricing is custom and includes an on-premise deployment option.
Good
- Measures privacy, fidelity, utility, and similarity.
- Free plan includes 1,000 monthly credits.
- REST API access and batch generation are available.
- Professional exports include Parquet and Avro.
- Enterprise offers on-premise deployment.
Watch out
- Starter costs $399 a month.
- Professional costs $2,999 a month.
- Export formats vary by plan.
Who it suits
Synthehol Dataset suits teams creating data for ML training, QA fixtures, or analytics. Its listed applications include regulated and data-intensive sectors such as healthcare, banking, and insurance.
Verdict
Synthehol Dataset offers synthetic-data generation with privacy and utility scoring, multiple access options, and a free plan. Compare plan quotas and export formats to determine whether its limits fit your workload.
Plans and prices
From Synthehol Dataset's own pricing page, checked 15 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Free | Free | 1,000 credits/month · 50K rows/month · 5 projects · 5 datasets · 1 user · 1 GB storage · 30-day retention · CSV, JSON · API access · Basic support · $0/mo |
| Starter | $399 a month | 5,000 credits/month · 5M rows/month · 25 projects · 100 datasets · 25 users · 50 GB storage · 90-day retention · CSV, JSON · API access · Email support · $399/mo |
| Professional | $2,999 a month | 50,000 credits/month · 50M rows/month · 125 projects · 500 datasets · 50 users · 500 GB storage · 1-year retention · CSV, JSON, Parquet, Avro · API access · Priority and Slack support · Custom models · Advanced clustering · $2,999/mo |
| Starter | $3,990 a year | 5,000 credits/month · 5M rows/month · 25 projects · 100 datasets · 25 users · 50 GB storage · 90-day retention · CSV, JSON · API access · Email support · $3,990/yr (save 17%) |
| Professional | $29,990 a year | 50,000 credits/month · 50M rows/month · 125 projects · 500 datasets · 50 users · 500 GB storage · 1-year retention · CSV, JSON, Parquet, Avro · API access · Priority and Slack support · Custom models · Advanced clustering · $29,990/yr (save 17%) |
| Enterprise | Priced on request | Custom credits and volume pricing · Dedicated infrastructure · Unlimited projects, datasets and users · Unlimited storage and retention · Dedicated account manager · Phone, email and Slack support · White label · 99.9% uptime SLA · Custom integrations · On-premise deployment · Custom |
The facts
Each one read from Synthehol Dataset's own pages, with the date it was checked.
What it does
- API
- The product documentation states that every plan, including Free, includes full REST API access.checked 15 Oct 2026
- Capterra deployment listing
- Capterra's profile lists Web, Android and iPhone/iPad deployment options.checked 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.checked 15 Oct 2026
- Compliance
- The product is presented as built for HIPAA, GDPR, SOC 2 and ISO 27001 requirements.checked 15 Oct 2026
- Deployment
- Enterprise includes an on-premise deployment option, and the platform page says data never leaves your environment.checked 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.checked 15 Oct 2026
- Enterprise support
- Enterprise lists phone, email, and Slack support, a dedicated account manager, and a 99.9% uptime SLA.checked 3 Oct 2026
- Export formats
- CSV and JSON exports are available broadly, while Professional and Enterprise add Parquet and Avro.checked 15 Oct 2026
- Exports
- The page lists CSV, JSON, Parquet, and Avro export formats, with formats varying by plan.checked 3 Oct 2026
- External dependencies
- The product page advertises generation without external LLM dependencies.checked 15 Oct 2026
- Generation monitoring
- The maker describes real-time job tracking and batch processing for its high-throughput engine.checked 15 Oct 2026
- Generation speed
- Synthehol advertises generation of 10 million rows in approximately 12 seconds.checked 15 Oct 2026
- Input formats
- The product page says users can upload CSV or JSON data or connect a data source.checked 15 Oct 2026
- Integrations
- Enterprise is described as including custom integrations, while the standard workflow accepts a connected data source.checked 15 Oct 2026
- Intended users
- The maker describes Synthehol Dataset as suited to ML training pipelines, QA fixture generation, and analytics workloads.checked 3 Oct 2026
- Leadership
- LagrangeDATA.ai's management page names Jitendra Devabhaktuni as founder and CEO.checked 15 Oct 2026
- Licence
- The public product pages do not identify an open-source licence for the Dataset service or publish source code.checked 15 Oct 2026
- Limit: review evidence
- G2 lists only one Synthehol review, so there is not a broad reviewer base from which repeated complaint themes can be established.checked 15 Oct 2026
- Notable news
- A March 1, 2026 company article claims Synthehol can generate 10 million rows in about 12 seconds and supports on-premise or air-gapped deployment without external API or LLM dependencies.checked 15 Oct 2026
- Praise: ease and quality
- G2 shows one Synthehol review titled “Intuitive, High-Quality Data Generation,” indicating positive feedback on usability and output quality.checked 15 Oct 2026
- Privacy scoring
- Each generated dataset receives privacy, fidelity, utility and similarity measurements.checked 15 Oct 2026
- Purpose
- Synthehol Dataset generates statistically accurate, privacy-preserving synthetic records from a sample dataset.checked 3 Oct 2026
The company
- Company identity
- G2 identifies the seller as Synthehol, founded in 2025, headquartered in Charlotte, United States, with one LinkedIn employee.checked 15 Oct 2026
- Maker company
- LinkedIn describes LagrangeDATA.ai as a privately held data-security software company headquartered in Charlotte, North Carolina, with 2–10 employees and a 2025 founding date.checked 15 Oct 2026
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