Mostly AI
Enterprise synthetic data for tabular databases, with referential integrity and auditor-ready privacy reports.
About
Mostly AI is an enterprise synthetic data platform focused on high-fidelity tabular data: it generates synthetic twins of relational databases while preserving referential integrity across tables, and produces detailed privacy reports auditors can actually review. Its sweet spot is regulated industries — banks generating synthetic transaction data for third-party analytics vendors instead of running months-long compliance reviews on real data. It also offers an open-source Synthetic Data SDK (Apache 2.0) for local generation. Pricing is credit-based: a free tier (up to 100K rows/day), Team at $3/credit, Enterprise at $5/credit, plus an AWS Marketplace plan from $3,000/month. Limitations: it's primarily a structured-data tool (not for images/video), and enterprise pricing puts it out of reach for small teams.
What it can do
- Multi-table synthesis with referential integrity; smart missing-value imputation; privacy reports for auditors; open-source SDK; cloud, marketplace, and self-hosted deployment.
Setup
Upload or connect tabular data through the UI or SDK, configure generators per table, and export synthetic datasets with privacy reports.
Prerequisites
Representative tabular data; for enterprise self-hosting, Kubernetes/EKS environment.
Use cases
Works with
Trust score — 6/10
Scored 6/10 (metrics tier, metrics-v1). Evidence: Referential-integrity-preserving multi-table synthesis and privacy reports corroborated by two comparison sources.; Credit pricing (free tier, $3/credit Team, $5/credit Enterprise) from aggregator tables; exact plan details less deeply verified than other entries.; Limitations disclosed: structured-data focus, enterprise pricing barrier..
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.