WHY TUSIRO EXISTS
Execution systems today rely on reconciliation, operator memory, and post‑incident guesswork.
Protocol docs describe intent. Venue specs describe format. But whether an execution system actually behaved correctly — during operation, under stress, or after trust degraded — is still reconstructed manually. Tusiro exists to make that behavior machine-checkable.
WHAT TUSIRO IS
Financial Systems Integrity Platform
Not a trading engine, not a dashboard, not a consultancy. A formal correctness and evidence system for market-connected execution stacks.
Shared Correctness Core
One semantic nucleus — canonical events, contract logic, evaluator, dispatcher, evidence ledger — reused across all surfaces.
Verification First
Surface A is built and operational. Adversarial testing and runtime protection are architected ahead, sequenced honestly.
WHAT MAKES IT DIFFERENT
Canonical event model
Source data normalized into a shared vocabulary. Source capability gaps declared, not hidden.
Evaluator + Dispatcher + Evidence Ledger
Contradictions change trust. Rule violations produce verdicts. Both persist. Neither collapses.
Audit-grade output, not dashboard theater
Typed evidence ledger and correctness reports. Not alerts. Not log repackaging.
CURRENT REALITY
Where Tusiro stands today.
Execution Correctness Verification
AVAILABLE TODAYOffline audit against declared lifecycle rules. Evidence ledger and correctness report.
Adversarial Resilience Testing
AVAILABLE TODAYPre-production stress testing on top of the shared correctness core.
Runtime Protection
FUTUREDeferred until verification and claim boundaries are strong enough.
Tusiro is currently focused on execution correctness verification with a narrow, proven scope. Expansion is sequenced by evidence, not by roadmap pressure.
FOUNDER
Ali Noori
FOUNDER & SYSTEMS ARCHITECT
Ali Noori is the founder of Tusiro, a financial systems integrity platform for broker, exchange, and market-connected execution systems. He is building Tusiro to replace manual reconciliation, operator memory, and post-incident guesswork with machine-checkable correctness and evidence. The platform begins with execution correctness verification and expands over a shared core into adversarial resilience testing and runtime protection.
PRINCIPLES
Semantic honesty
Declare what a source can and cannot prove. Never fabricate semantics the data does not contain.
Boundary integrity
Connectors parse. Evaluators decide truth. Dispatchers route. Reports read. No layer crosses its boundary.
Evidence over narrative
Typed records in a causal chain. Not alerts, not dashboards, not hand-wavy reconstruction after the fact.
Shared core before feature sprawl
One semantic nucleus. No per-customer rule hacks. No schema forks per surface. Platform integrity comes first.
PROGRESS
Shared correctness core defined
Architecture frozen. Canonical event model, contract layer, evaluator semantics, evidence ledger.
Verification surface operational
Full end-to-end pipeline on real historical data. Typed contradictions, verdicts, dispatch decisions.
Audit workflow completed
Correctness reports and evidence artifacts generated from the shared core.
Source expansion pending
Additional real-world sources planned. Architecture proven on first source.
NEXT STEP