Synthetic data companies, products & suppliers
Generated datasets that stand in for production data in test or training. Jobs: tabular synthesis; text synthesis for tests; privacy-preserving stand-ins.
What is Synthetic data?
Generated datasets that stand in for production data in test or training. Jobs: tabular synthesis; text synthesis for tests; privacy-preserving stand-ins.
What problems does it solve?
Teams cannot share production extracts with vendors or offshore staff.
Typical business use cases
- Tabular synthesis
- Text synthesis for tests
- Privacy-preserving stand-ins
Important capabilities
- Generators
- Fidelity metrics
- Privacy metrics
What buyers should evaluate
- Whether real rows can be memorised
- Eval of utility
- Licence of synthetic output
Risks and governance considerations
Synthetic data that still reconstructs real people.
Procurement checklist
- Memorisation tests
- Licence
- Intended use
Relevant AI Trustmark assurance
AI Trustmark independent findings appear only when an assessment or certificate exists. Category membership does not imply verification.
Companies and providers
Claimed suppliers appear first so buyers can start with listings the company has taken ownership of. Payment does not buy this order.
Generate synthetic, privacy-safe datasets to boost AI innovation and protect sensitive data. Clearbox AI publishes Clearbox AI Synthetic Data Platform as named AI products. Clearbo
SDV is enterprise software for building generative relational models of your enterprise databases, powering synthetic data, AI training, and more. DataCebo publishes SDV Enterprise
Build SDG pipelines to power conversational AI, benchmarks, and agentic AI workflows with NVIDIA NeMo synthetic data tools. Gretel publishes Gretel Transform as named AI products.
Generate, analyze, and share privacy-safe synthetic data with MOSTLY AI’s secure, enterprise-ready platform and open-source SDK. MOSTLY AI publishes MOSTLY AI Synthetic Data Platfo
NVIDIA sells GPUs, CUDA software and AI enterprise stacks used for training and inference. Public pages cover data-centre, cloud and on-prem AI compute. NVIDIA publishes NVIDIA cuO
Parallel Domain generates photorealistic synthetic data and simulation to train and validate perception systems for autonomous vehicles, robotics, and AI. Parallel Domain publishes
Transform your computer vision projects with synthetic data and engineering solutions that overcome challenges with advanced sensor types. Rendered.ai publishes Rendered.ai Platfor
SAS publishes SAS Data Maker, SAS Intelligent Decisioning, and SAS Model Manager as named AI products. SAS is used for Model governance and Data science platforms work. SAS is reco
Synthesized is the first all-in-one data automation platform for data-driven organizations. Learn more about our DataOps platform and synthetic data generation. Synthesized publish
Syntho combines all synthetic data generation methods in one solution. Delivering realistic, privacy-preserving synthetic data optimized for any scenario, covering more use cases t
Tonic.ai publishes Tonic Textual, Tonic Fabricate, and Tonic Structural as named AI products. Tonic.ai is used for Privacy-enhancing AI and PII detection / redaction work. Tonic.ai
Products
Claimed products appear first. Ranking packs and payment do not change this list.
- Clearbox AI Synthetic Data Platform· Clearbox AI
- Data Lab· Parallel Domain
- MOSTLY AI Synthetic Data Platform· MOSTLY AI
- NVIDIA NeMo Data Designer· NVIDIA
- Rendered.ai Platform· Rendered.ai
- SAS Data Maker· SAS
- SDV Enterprise· DataCebo
- Synthesized Cloud Platform· Synthesized
- Syntho Engine· Syntho
- Tonic Fabricate· Tonic.ai
Also used in this category
These products have a different primary category so they do not compete for the same ranking queries. They are listed here because buyers still encounter them in this job.
- Gretel Transform· Gretel
Related categories
Relevant procurement and assurance guides
Frequently asked questions
What is Synthetic data?
Generated datasets that stand in for production data in test or training. Jobs: tabular synthesis; text synthesis for tests; privacy-preserving stand-ins.
What should not be listed as Synthetic data?
Products whose buyer job is labelling, data prep, or generative media products. Those belong on their own category page so search queries are not split.
Has AI Trustmark independently assessed every Synthetic data supplier?
No. A category listing is descriptive. Independent assessment is shown only on company or product pages that carry Trustmark evidence.
What model or provider changes should a buyer insist on being told about?
Material change usually includes a new model family, new region, new subprocessor, new write-capable tool, or a change that affects logging, privacy or human oversight. Those changes should trigger evidence refresh rather than a silent release.
How should buyers verify where AI customer data is processed?
Ask for the named processing locations, cloud regions and any subprocessors that see prompts, files or outputs. A directory listing is not evidence of residency. Independent assessment records the locations that were in scope on the assessment date.
Does a TrustMark on one product cover the rest of the company?
No. Independent assessment is scoped to the named organisation and, where relevant, the named product. Category pages list suppliers as a topic label. They do not imply that every listed company has been assessed.
What incident-handling evidence is useful for AI suppliers?
Buyers should see how AI-specific failures are detected, contained and notified — including unsafe outputs, data leakage and unauthorised agent actions. An incident policy that never mentions models, prompts or tools is incomplete for this class of product.
What security testing evidence should buyers request for an AI product?
Ask what was tested, against which version, whether prompt-injection, data-exfiltration and tenant isolation were in scope, and where failed prompts were stored. A generic ISO certificate or a vendor scanner screenshot is not by itself an AI TrustMark assessment.