
MOSTLY AI Synthetic Data Platform
Synthetic data software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
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$3,000 per month
Small
Medium
Large
- Banking and insurance
- Retail and wholesale
- Media and communications
What is MOSTLY AI Synthetic Data Platform
MOSTLY AI Synthetic Data Platform is a synthetic data generation and data privacy platform that creates artificial datasets modeled on real data to support analytics, data sharing, and AI/ML development with reduced exposure of sensitive information. It is used by data science, analytics, and data governance teams to generate privacy-preserving replicas of tabular (and related) datasets for testing, model training, and external collaboration. The platform emphasizes statistical fidelity controls and privacy risk assessment workflows to help organizations evaluate utility versus disclosure risk. It is typically deployed as an enterprise platform with governance features for repeatable synthetic data production.
Privacy-focused synthetic generation
The platform is designed around producing synthetic datasets intended to reduce the need to move or expose raw personal or confidential data. It supports workflows that help teams assess privacy risk and document how synthetic outputs are produced. This aligns well with regulated data sharing and internal access-control use cases where masking alone is insufficient.
Utility and quality evaluation
MOSTLY AI includes mechanisms to compare synthetic data to source data to understand how well distributions and relationships are preserved. These evaluation steps help data teams decide whether a synthetic dataset is suitable for analytics or model development. In practice, this can reduce trial-and-error compared with tools that focus primarily on generation without structured quality reporting.
Enterprise governance workflows
The product is positioned as a platform rather than a single-purpose generator, supporting repeatable projects, dataset management, and controlled sharing. This is useful for organizations that need standardized processes across multiple teams and domains. It can fit into broader data governance programs where approvals, auditability, and consistent configuration matter.
Best fit for structured data
Synthetic data platforms commonly perform strongest on tabular and relational datasets, and MOSTLY AI is primarily associated with these use cases. Organizations needing high-fidelity synthetic generation for complex unstructured modalities (e.g., images, audio, free text) may require additional specialized tooling. This can introduce a multi-vendor workflow for teams working across diverse data types.
Fidelity depends on source quality
Synthetic outputs inherit limitations from the underlying source data, including bias, missingness patterns, and schema issues. If the original dataset is poorly curated, synthetic data can reproduce those problems in a different form. Teams often still need data profiling, feature engineering, and domain validation to ensure the synthetic dataset is fit for purpose.
Operational learning curve
Deploying synthetic data generation in production typically requires decisions about privacy thresholds, evaluation metrics, and acceptable utility trade-offs. These choices can be non-trivial for teams without established privacy engineering or data governance practices. As a result, initial rollout may require cross-functional involvement (security, legal, data owners) and iterative tuning.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Free | Free forever — 2 credits/day (max. 25 credits/month) | SaaS access to MOSTLY AI Platform; 1 active chat; limited credits for generating synthetic data; "No trial" stated on pricing page. |
| Marketplace (AWS) | $3,000 / month | Deploy via AWS Marketplace; you use credits when generating synthetic data; includes 1 Platform Installation and unlimited usage at this tier. |
| Enterprise | Custom pricing (contact sales) | Custom deployment (on-prem, private cloud, etc.); custom number of Platform Installations; unlimited usage; tailored support and SLAs. |
| Synthetic Data SDK (open source) | Free | Open-source SDK under Apache v2 license; allows generating synthetic data locally/in your environment (pip install -U mostlyai). |
Seller details
MOSTLY AI Solutions MP GmbH
Vienna, Austria
2017
Private
https://mostly.ai/
https://x.com/mostly_ai
https://www.linkedin.com/company/mostly-ai/