Product engineering
Developer workspaces
Every pull request can get a short-lived masked database with realistic production behavior.
- Fewer shared-staging conflicts
- Reliable integration tests
- Automatic TTL cleanup
Customers
SOFI is for teams blocked by unsafe or stale test data.
The strongest use cases start where product speed, privacy, and platform control collide.
Quality engineering
QA refresh windows
QA teams refresh environments from approved snapshots without waiting for manual copy and sanitize jobs.
- Fresh test cycles
- Consistent fixtures
- Lower release friction
Data and BI
Analytics sandboxes
Analysts validate models against production-like distributions without getting raw personal data.
- Realistic distributions
- Masked joins preserved
- Auditable access
Financial services
Regulated modernization
Platform teams move legacy systems into safer development workflows without weakening compliance controls.
- Private deployment
- SSO and RBAC
- Evidence exports
Rollout story
From staging database bottleneck to self-service.
A typical SOFI deployment starts with one painful source and expands after teams trust the masking and provisioning path.
01 / Before
Developers shared one stale staging database and copied production dumps by ticket.
02 / Rollout
The platform team connected one source, defined PII rules, and exposed self-service VDB creation.
03 / After
Teams request safe workspaces from CLI or dashboard, with refresh, TTL, and audit built in.
Trust pattern
The product can be fast because the controls are close.
SOFI is useful to customers when platform, security, and product teams agree on one governed path for lower-environment data.
Read compliance detailsSecurity
Sensitive values are masked before teams use them.
Support
Deployment and rollout support for regulated environments.
Governance
Evidence is attached to every provisioning and refresh event.