Data control
Every instrument, assumption, and market input flows through one governed data layer — normalized to a canonical state, quality-checked at ingestion, and traceable from each reported number back to source.
Every figure shown is illustrative and represents a hypothetical bank — not any actual institution.
The data pipeline
Five governed stages, one flow — each step controlled, logged, and reproducible.
Ingest
Multi-source feeds — core, securities, derivatives, deposits.
Validate
Completeness, validity, and tolerance checks at the door.
Normalize
One canonical instrument record with cashflows and terms.
Govern
Assumptions versioned to the SR 26-2 registry.
Serve
One state vector feeds every engine — same numbers, same time.
Data functions
The data layer is not plumbing — it is a governed control surface, with quality, lineage, and access enforced on every run.
Multi-source ingestion across core, securities, derivatives, and deposits — normalized to a single instrument schema.
One authoritative record per instrument: contract terms, cashflows, and behavioral parameters in one place.
Completeness, validity, and tolerance checks at ingestion — failures are flagged and scored, never silently dropped.
Every assumption versioned and written to the SR 26-2 registry at each run, with owner and effective dating.
Trace any reported figure back through every transformation to the source record — fully reproducible.
Curves, ratings, FX, and prices managed with effective-dating, vendor fallback, and staleness checks.
Automated reconciliation to the general ledger and across engines, with exception reporting and sign-off.
Role-based access and segregation of duties across data, model, and reporting functions.
Every run is a versioned snapshot — re-run any prior date with the exact data and assumptions used.
By design
Real bank data is never complete. Missing fields are imputed against the canonical model, and the resulting assumption risk is expressed in basis points — so gaps are visible and bounded, never hidden.
Data-quality snapshot
IllustrativeReady to see it live?
A guided demonstration using your institution's publicly available financial data — your own NII, EVE, FTP, and capital metrics, across all 12 scenarios.
Live walkthrough of the Phase 1 screens — institution selector, scenario toggle, assumption overrides in real time.
Architecture review for risk, technology, and model-risk leadership — SR 26-2 governance and integration design.
Capital, liquidity, and reporting capability review for chief risk officers and regulatory-affairs teams.
About us
Bulls-Eye Solutions builds the enterprise financial engine for modern institutions — one platform that unifies risk, capital, liquidity, funds transfer pricing, attribution, and optimization on a single canonical state. Founded by veterans of top-tier bank treasury and risk management, we pair production-grade software with decades of hands-on enterprise experience, delivered as Risk-as-a-Service.