Agentifact assessment — independently scored, not sponsored. Last verified Mar 8, 2026.
MOSTLY AI
Privacy-safe synthetic data platform for generating high-fidelity tabular and text datasets for AI testing, training, and evaluation. Uses the TabularARGN model with built-in differential privacy. Provides an open-source Python SDK (Apache 2.0) for self-hosted generation and a cloud platform with collaboration tools. Free tier with 2 credits/day; paid plans for teams and enterprise Kubernetes deployment.
Use with care — notable gaps remain
You need privacy-safe tabular, text, or multi-table datasets for AI training, testing, or analytics without exposing real customer data.
Excellent utility (90-95% quality scores) for structured data, seamless drop-in replacement, but free tier limits scale; paid unlocks enterprise K8s.
You want to simulate edge cases, rebalance imbalanced datasets, or impute missing values for robust ML model evaluation.
High accuracy for time-series/geospatial/text, detailed insights reports for validation; sequential multi-table gen preserves relations but may slow on huge schemas.
Free Tier Credit Limits
Only 2 credits/day restricts large-scale or frequent generation; scale requires paid plans.
Credit Exhaustion Halts Generation
Free tier runs out mid-job on big datasets; monitor usage via dashboard and upgrade early for production workflows.
MOSTLY AI excels in enterprise multi-table fidelity and privacy vs. SDV's simpler open-source focus.
Need production-grade relational DB synthesis, time-series, or team collaboration.
Purely open-source prototyping on single tables with no budget.
Trust Breakdown
What It Actually Does
Generates fake but realistic datasets from your real data while protecting privacy, so you can safely test and train AI models without exposing actual customer information.
Privacy-safe synthetic data platform for generating high-fidelity tabular and text datasets for AI testing, training, and evaluation. Uses the TabularARGN model with built-in differential privacy. Provides an open-source Python SDK (Apache 2.0) for self-hosted generation and a cloud platform with collaboration tools.
Free tier with 2 credits/day; paid plans for teams and enterprise Kubernetes deployment.
Fit Assessment
Best for
- ✓data-generation