Value
Fit
Customer
Services
Primary functions
- Provides a curated, extensible library of synthetic and approved entity data.
- Enables easy download and local extension to match specific product schemas.
- Offers internally consistent, relational data to support integration, automation, and test harnesses.
- Delivers clean, realistic data sets for development, testing, demos, and onboarding.
- Supports ongoing data generation and versioning for evolving needs.
Pain relief
How pain is reduced
- Removes the burden of crafting or cleaning production test data from scratch.
- Eliminates the risk of breaching privacy or handling personal/sensitive datasets.
- Reduces the need for InfoSec review and compliance overhead for synthetic use cases.
- Stops teams from relying on gibberish or placeholder data that undermines testing value.
- Prevents duplication of effort across multiple products trying to mock similar data.
Gain creators
Exciting new benefits
- Establishes a trusted, reusable base of test-ready entities that can scale across the department.
- Encourages collaboration around a consistent data model foundation.
- Accelerates test automation, sandbox seeding, and integration validation.
- Future-proofs data usage through modular design and versioned datasets.
- Fosters adoption and contribution via extensible, open-access design.
Jobs
Tasks I need to do
- Populate development environments or test systems with non-production / non-personal data.
- Validate APIs, integration points, and automation flows.
- Prototype features and run demos with believable but non-sensitive data.
- Support multiple products with flexible data structures.
Pain points
Things that frustrate me
- No current source of realistic, compliant test data.
- Inconsistent, ad hoc data creation methods across teams.
- High effort and uncertainty around masking or sanitising production data.
- Security or compliance blockers for real-data use.
- Frustration with brittle or out-of-date data models that don’t align across products.
Gains
Benefits I'd welcome
- A ready-to-go source of believable, structured test data.
- Data that "just works" for their test harness, API, or environment seeding.
- Flexibility to adapt generic base entities to product-specific needs.
- Confidence that privacy and InfoSec standards. are being met.
- Alignment across products, teams, and lifecycle stages through shared data standards.