RFS Pilot Program
RFS is in development. Use this pilot path for deterministic memory evaluation with advisory-supported guidance.
Pilot Access
Launch a local pilot environment with sample data and complete setup guidance.
- Local sandbox environment with sample data
- Run queries and benchmarks immediately
- Complete documentation and examples
- Community support available
Need Support?
Request advisory support for your pilot: direct architecture review, custom data guidance, and rollout planning.
- ✓Direct access to engineering team
- ✓Custom dataset integration
- ✓Architecture review
- ✓Production deployment guidance
Ideal For
- Platform teams replacing vector database stacks
- ML researchers needing provenance for every result
- Compliance teams requiring complete audit trails
- DevOps teams building incident memory systems
- Enterprise architects evaluating next-gen AI memory
What to Expect
Pilot Environment Setup
Initialize your local sandbox in minutes
Run Sample Queries
Experience sub-35ms resonance latency with pre-loaded data
Evaluate Benchmarks
Compare RFS performance against vector databases
Request Support (Optional)
Need help? Request a pilot review with direct advisory support
Field-Native Memory Architecture
RFS replaces vector databases with mathematically-governed memory. Get deterministic results, complete audit trails, and provable correctness—all in a self-contained system.
- ✓Field-native memory (no external index)
- ✓Associative + exact recall
- ✓42+ validated invariants
- ✓Complete provenance tracking
Ready to Begin a Pilot?
Start with a pilot onboarding flow: evaluate RFS in a guided environment and connect with our team for advisory support. No registration loop is required for self-service technical evaluation.