Solutions
Use cases where faster settlement and fewer mistakes create measurable business value.
Where teams lose money today
Most high-volume settlement stacks lose time in retries, exception queues, and manual reconciliation.
PraxisNet is designed to reduce that overhead by keeping outcomes consistent and verifiable during normal flow and under load.
What changes after deployment
- More predictable behavior during traffic spikes
- Fewer break fix loops caused by mismatched reports
- Lower duplicate and replay driven exception volume
- Faster audit and incident review cycles
In business terms
- Faster reconciliation cycles and month-end close
- Fewer duplicate settlements and fewer exception tickets
- Cleaner audit handoffs with reproducible records
- More predictable cost per transaction as volume increases
Industry solution pages
- Payment Service Providers (PSPs)
- Wallets & Fintechs
- Banks & Treasury
- AI Risk Engines
- Payment rails & wallets
- Gaming & digital commerce
- Enterprise settlement & reconciliation
- Capital markets & post-trade
Throughput envelope (current benchmark profile)
Measured values below are from current strict-validation benchmark profiles. Throughput is reported by workload profile (end-to-end committed, sustained, and validator-path), with raw artifacts for verification.
| Benchmark Profile | Throughput Window | Status |
|---|---|---|
| 20k tx/block (strict) | ~17.8k–18.1k end-to-end committed TPS | ✅ Measured |
| 100k tx/block (strict) | ~73k–84k end-to-end committed TPS | ✅ Measured |
| Validator-path throughput | ~340k–380k TPS | ✅ Measured |
| Sustained committed throughput | Published per artifact (`tps_sustained`) | ✅ Measured per run |
Speed context vs common alternatives
| Approach | Where speed is lost | PraxisNet improvement |
|---|---|---|
| Batch-first settlement operations | Delay between payment event and settled truth | Commit path designed for near-real-time operational visibility |
| Webhook-heavy retry pipelines | Duplicates and out-of-order events drive manual cleanup | Built-in replay/order controls reduce cleanup load |
| PraxisNet strict benchmark profiles | Measured committed throughput: ~17.8k–18.1k and ~73k–84k | Published artifacts + reproducible test method |
Market comparisons are workload-sensitive. Use committed-to-committed and sustained-to-sustained matching on comparable hardware before drawing conclusions.