GENESIS: A Constant-Time Compute Engine for Financial Infrastructure
Hi, I’m Marcus, founder of Augustus.
I build systems that remove friction from large-scale computation. Where Chariot routes models and Axis routes compute, Genesis computes results in constant time.
Over the past weeks, I’ve been developing Genesis Engine, a compute core designed for modern financial workloads where latency, efficiency, and predictable scaling are essential.
Why I built it
Most financial systems still rely on linear iteration. Every additional transaction increases compute time, heat, and operational cost. This model no longer scales.
I wanted a system where:
- Processing time stays constant.
- Latency does not grow with volume.
- Outputs remain ledger-exact.
- Infrastructure becomes predictable instead of fragile.
How it works
Genesis doesn’t iterate. It projects the final state directly.
Instead of looping through records, Genesis applies a closed-form projection:
This computes the final state in one step, independent of dataset size. It shifts compute from:
- ( O(n) \to O(1) )
- Linear iteration (\to) Direct projection
- Latency growth (\to) Constant latency
No loops. No rescans. No performance cliffs.
Benchmarks
Tests on real hardware show the impact of eliminating iteration:
| Dataset Size | Traditional Time | Genesis Time | Speedup |
|---|---|---|---|
| 100,000 ops | ~1.3 ms | 0.0009 ms | 1,422× |
| 1,000,000 ops | ~13.3 ms | 0.0019 ms | 7,000× |
| 10,000,000 ops | ~133 ms | 0.0024 ms | 55,620× |
Key effects:
- Latency stays flat.
- Throughput increases without extra hardware.
- Energy use drops.
- Results remain exact to the final decimal.
Current stage
Genesis is in development (TRL 5–6) and validated through deterministic benchmark suites. Next steps include settlement-pipeline integration and testing with real financial datasets.
If you work on payments, clearing, reconciliation, or high-volume compute, Genesis is built for your world.