Hazy is an enterprise synthetic data platform that generates statistically representative synthetic datasets from sensitive production data for analytics, model development, testing, and secure data sharing, typically deployed adjacent to source systems (on‑premises or private cloud) so original records remain inside the customer's controlled environment.
Published Sep 19, 2026
| Starting Price | Not publicly listed (enterprise/sales-led) | Free plan available; Marketplace plan listed in the low thousands per month; Enterprise custom | Pay-as-you-go listed from the low hundreds per month for modest usage (cloud) |
| Primary Use Case | Regulated enterprises (especially finance) requiring synthetic data deployment adjacent to source systems; product direction influenced by SAS integration | Teams seeking accessible platform pricing and deployment flexibility (SaaS/marketplace/enterprise) | Engineering teams needing de-identification/synthetic structured data for dev/test and staging hydration |
| Key Strength | Emphasized positioning for regulated finance workflows and deployment adjacent to source systems; IP and enterprise relevance noted in acquisition context | Transparent entry pricing and SDK options; flexible deployment paths | Clear entry pricing; developer-focused workflows for dev/test hydration |
| Key Weakness | Limited public documentation and limited independent reviews; product direction may be tied to SAS packaging and integration choices | Enterprise features may require higher tiers and professional services | Focus on dev/test hydration may not align with advanced analytics or digital-twin requirements |
—