Empty dev environments
Development environments lack sufficient test data — every sprint starts from scratch.
GenerateOre
Generate Data That Behaves Like Your Product · AI Synthetic Data Infrastructure · AI Data Infrastructure Company
Random Data Tests Fields. Realistic Data Tests Products. Turn raw product knowledge into usable data — Schema-Aware · Relationship-Safe · Privacy-First · Scenario-Driven · Reproducible · Developer-Native.
- Schema-Aware
- Relationship-Safe
- Privacy-First
- Scenario-Driven
- Reproducible
- Developer-Native
Your Product Needs Data Before Your Customers Do
Not a hero card wall. An interactive backend — meters at zero, then accounts, users, subscriptions, events, invoices, and support tickets appear fully linked. Click any record for its lifecycle.
Customers0
Users0
Orders0
Events0
Invoices0
Generation prompt
Seed · not set
Idle — empty backend. Generate to populate interconnected records.
| ID | Entity | State | Links |
|---|
Public generate
Describe a world — preview the first dataset
No workspace required. We infer schema, relationships, and business states from your prompt and return a linked sample you can export.
Why teams generate worlds
Production-shaped data without production risk
Privacy blocks production
Production data contains private information and cannot be copied directly.
Random breaks logic
Randomly generated data does not follow real business logic or state machines.
Broken foreign keys
Relationships between multiple tables often break under realistic load.
No edge cases
Test environments only contain normal data and lack abnormal scenarios.
Empty demos
Demo accounts are too empty to show product value in sales calls.
Agents lack eval data
AI Agents lack stable, reproducible evaluation data across releases.
Schema drift
Old test data becomes unusable after schema changes ship to production.
QA prep waste
QA teams waste significant time manually preparing account states.
Env inconsistency
Different development environments use inconsistent datasets.
Procedural Data Biology
Ten surfaces. One reproducible data world.
Data genomes, skeletons, cells, chessboards, telescopes, and blind booths — not newsroom boards or teleprinters.
01Data GenomeSchema · Semantics · Relationships · Distributions · Privacy · Scenarios02Relational SkeletonSpine entities and FK joints — not ER diagram cards03Cellular RecordsAccounts, users, and events grow from one seed04Scenario ChessboardMove business states — payment failed, admin left05Long-Tail TelescopeZoom into duplicate webhooks and timezone edges06Privacy GlassFrosted fields — structure without copying real people07Constraint CourseSix gates: type, format, uniqueness, FK, rule, distribution08Blind Test BoothsIdentical worlds — compare agent outcomes fairly09Dataset BlueprintRecords × environments · scenario packs · refresh cadence10Credential Slide RuleCLI layers · schema version · seed · validation
Random Data Tests Fields. Realistic Data Tests Products.
Your product needs data before your customers do.
GenerateOre is AI Synthetic Data Infrastructure — schema-aware, relationship-safe worlds for development, testing, demos, and AI evaluation.