Synthehol Dataset
dataset.synthehol.ai
What it is
Synthehol Dataset generates synthetic records from a sample dataset, with the stated aim of protecting privacy while reflecting statistical patterns. The workflow starts with uploading a sample, then analyzes distributions and correlations before generating rows. Each dataset is measured for privacy, fidelity, utility and similarity. The site says the platform can produce 10 million rows in about 12 seconds. Access is available through web, API and self-hosted options; the platform page advertises REST API access and batch generation. CSV and JSON exports are included on Free and Starter, while Professional also lists Parquet and Avro. 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. The maker presents it for ML training pipelines, QA fixture generation and analytics workloads, across use cases including healthcare, finance, pharmaceuticals, insurance, retail and load testing. Free includes 1,000 monthly credits and up to 50,000 rows per month; paid plans start at $399 a month. Enterprise pricing is custom and includes an on-premise option.
Spec sheet
- What it does
- Synthehol Dataset turns an uploaded sample dataset into large volumes of statistically similar synthetic records for machine learning, testing and analytics.Read 15 Oct 2026 · synthehol.ai
- Purpose
- Synthehol Dataset generates statistically accurate, privacy-preserving synthetic records from a sample dataset.Read 3 Oct 2026 · synthehol.ai
- Intended users
- The maker describes Synthehol Dataset as suited to ML training pipelines, QA fixture generation, and analytics workloads.Read 3 Oct 2026 · synthehol.ai
- Deployment
- Enterprise includes an on-premise deployment option, and the platform page says data never leaves your environment.Read 3 Oct 2026 · synthehol.ai
- API
- The product documentation states that every plan, including Free, includes full REST API access.Read 15 Oct 2026 · lagrangedata.ai
- Integrations
- Enterprise is described as including custom integrations, while the standard workflow accepts a connected data source.Read 15 Oct 2026 · synthehol.ai
- Security
- The page says customer data is never sold, shared, or used except to deliver Synthehol services.Read 3 Oct 2026 · synthehol.ai
- Compliance
- The product is presented as built for HIPAA, GDPR, SOC 2 and ISO 27001 requirements.Read 15 Oct 2026 · lagrangedata.ai
- Support
- Support ranges from basic support on Free to email support on Starter and priority plus Slack support on Professional.Read 3 Oct 2026 · synthehol.ai
- Capterra deployment listing
- Capterra's profile lists Web, Android and iPhone/iPad deployment options.Read 15 Oct 2026 · capterra.com
- Capterra feature listing
- Capterra lists 25 capabilities for SyntheholAI, including audit trails, authentication, data profiling, generative AI, HIPAA compliance and real-time monitoring.Read 15 Oct 2026 · capterra.com
- Company identity
- G2 identifies the seller as Synthehol, founded in 2025, headquartered in Charlotte, United States, with one LinkedIn employee.Read 15 Oct 2026 · g2.com
- Documentation depth
- The public product pages describe workflow, scores, exports, pricing and API availability but do not expose SDK documentation or endpoint reference material.Read 15 Oct 2026 · synthehol.ai
- Enterprise support
- Enterprise lists phone, email, and Slack support, a dedicated account manager, and a 99.9% uptime SLA.Read 3 Oct 2026 · synthehol.ai
- Export formats
- CSV and JSON exports are available broadly, while Professional and Enterprise add Parquet and Avro.Read 15 Oct 2026 · lagrangedata.ai
- Exports
- The page lists CSV, JSON, Parquet, and Avro export formats, with formats varying by plan.Read 3 Oct 2026 · synthehol.ai
- External dependencies
- The product page advertises generation without external LLM dependencies.Read 15 Oct 2026 · synthehol.ai
- Generation monitoring
- The maker describes real-time job tracking and batch processing for its high-throughput engine.Read 15 Oct 2026 · synthehol.ai
- Generation speed
- Synthehol advertises generation of 10 million rows in approximately 12 seconds.Read 15 Oct 2026 · synthehol.ai
- Input formats
- The product page says users can upload CSV or JSON data or connect a data source.Read 15 Oct 2026 · synthehol.ai
- Leadership
- LagrangeDATA.ai's management page names Jitendra Devabhaktuni as founder and CEO.Read 15 Oct 2026 · lagrangedata.ai
- Licence
- The public product pages do not identify an open-source licence for the Dataset service or publish source code.Read 15 Oct 2026 · synthehol.ai
- 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.Read 15 Oct 2026 · g2.com
- 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.Read 15 Oct 2026 · linkedin.com
- 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.Read 15 Oct 2026 · blogs.lagrangedata.ai
- Praise: ease and quality
- G2 shows one Synthehol review titled “Intuitive, High-Quality Data Generation,” indicating positive feedback on usability and output quality.Read 15 Oct 2026 · g2.com
- Privacy scoring
- Each generated dataset receives privacy, fidelity, utility and similarity measurements.Read 15 Oct 2026 · synthehol.ai
- Quality dashboard
- The dashboard tracks quality-score trends across generated datasets.Read 15 Oct 2026 · synthehol.ai
- Rating on Capterra
- 0.0 out of 5.0 from 0 reviews.Read 15 Oct 2026 · capterra.com
- Rating on G2
- 4.5 out of 5.0 from 1 review.Read 15 Oct 2026 · g2.com
- Scoring
- Each dataset is measured for privacy, fidelity, utility, and similarity.Read 3 Oct 2026 · synthehol.ai
- Security claim
- The maker says customer data is not sold, shared or used beyond delivering Synthehol services.Read 15 Oct 2026 · synthehol.ai
- Self-hosting
- On-premise deployment is listed as an Enterprise capability.Read 15 Oct 2026 · lagrangedata.ai
- Support tiers
- Support ranges from basic on Free to email on Starter, priority and Slack on Professional, and phone, email and Slack on Enterprise.Read 15 Oct 2026 · synthehol.ai
- System requirements
- The public product page does not state supported operating systems, browser versions or hardware requirements.Read 15 Oct 2026 · synthehol.ai
- Use cases
- The site presents healthcare, banking and finance, pharmaceuticals, insurance, retail, and load testing as use cases.Read 3 Oct 2026 · synthehol.ai
- Workflow
- The documented workflow uploads a sample, learns distributions and correlations, then generates synthetic rows.Read 15 Oct 2026 · synthehol.ai
Plans and prices
Strong points and limits
Strong points
- Free plan includes 1,000 monthly credits.
- Measures privacy, fidelity, utility and similarity.
- REST API access and batch generation are listed.
- Enterprise includes on-premise deployment.
- Exports include CSV and JSON on Free.
Limits
- Free plan is limited to 50,000 rows monthly.
- Free retention is 30 days.
- Parquet and Avro exports are listed on Professional.
- Enterprise pricing is custom.
Who it suits
The maker presents Synthehol Dataset for ML training pipelines, QA fixture generation and analytics workloads. Its listed use cases include healthcare, finance, pharmaceuticals, insurance, retail and load testing.
Verdict
Synthehol Dataset offers a sample-to-synthetic-record workflow with dataset scoring and several deployment options. Check plan limits and export formats against your workload before selecting a tier.
Where Specifiction places it
- AI Synthetic Data Generators#3 of 258.7