Testing
Seed staging and QA.
Populate product environments with structured random inputs instead of maintaining brittle fixtures and throwaway helpers.
Randomness As a Service
Structured randomness for production systems
Secure randomness for product teams
A better way to get randomness into production.
Randomness As a Service gives teams a more secure, more controlled source for randomness without relying on improvised generators and low-trust utility code.
Better than roll-your-ownSecure by designAccess by request
Testing and QAOnboarding flowsAutomation toolingGames of chance
Request access
Private rolloutGet invited before public release.
Leave your email and we will send your invite when the next access wave opens.
Use cases
Built for real product work.
Structured randomness usually shows up in testing, onboarding, automation, and games of chance.
Onboarding
Exercise signup flows.
Support registration, profile setup, and account paths with controlled randomness that still feels real.
Automation
Run simulations and checks.
Feed automations, scenario testing, and internal tools from one managed randomness surface.
Games of chance
Power chance-based gameplay.
Use one controlled randomness surface for spins, draws, and other outcome logic where random events directly affect play.
Why switch
Randomness should be trustworthy, not improvised.
Better than ad hoc randomness
Replace brittle helpers, loose datasets, and scattered utilities with one product designed for the job.
Secure by design
Built for teams that care how randomness enters production systems, not just whether a value appears.
Made for real usage
Useful across onboarding, testing, automation, and content systems where randomness should feel deliberate.
Verification
Public engineering evidence.
The technical page is live. It shows the current NIST vector conformance, the public statistical run, and the claims we are willing to make without overstating the evidence.
Reference conformance
3/3 matched
Independent reference cases used during verification.
Statistical coverage
15 tests
Published results from both large-sample and repeated-run verification.
Bit balance
50.006 / 49.994
Observed ones-versus-zeros split across the published verification samples.
Request access to the better randomness interface.
Put your email in the queue and we will send the invite when your access window opens.