
The enterprise financial platform for banks & digital-asset firms
Big-bank sophistication - right-sized and available for community banks, regional institutions, credit unions, and digital-asset firms. Capabilities that were out of reach, now yours.
Bulls-Eye runs your entire financial position - risk, capital, liquidity, and earnings - off one shared dataset. Every function works from that one dataset, so there's nothing to reconcile. Decide faster, spend far less to maintain your modeling, and prove every figure to the examiner from one audit trail.
Patent-pending, single code base, delivered as RaaS - Risk-as-a-Service, built and run by seasoned markets and risk-management experts. Modular deployment, no rearchitecting.
All figures shown are illustrative and represent a hypothetical bank - not any actual institution.
See it in action - run one scenario and watch capital, earnings, and liquidity answer at once.
Pick a scenario · attribute any result
IllustrativeHypothetical bank · $62B balance sheet
Interactive · click to exploreShowing the bank at base - pick a scenario to see it move.
Illustrative attribution · drivers in $ / %
One run, every answer. Pick a scenario above and capital, earnings, and liquidity all respond together. Then click any result to see what drove it.
Who it's for
Bulls-Eye brings the sophistication once reserved for the largest banks to institutions of every size - one platform, no quant or support army required.
Enterprise-grade risk, capital, and liquidity - without an enterprise-scale team to run it.
The same modeling discipline examiners expect, right-sized to your balance sheet.
Traditional and digital balance sheets modeled together, from one platform.
Consolidate a sprawling modeling inventory into one shared code base.
The problem
Each function may optimize for itself - but multiple optimizations, by definition, are not optimal. Never for the enterprise as a whole.
If you already have models and lack integration, you have too many. Risk, finance, treasury, liquidity, capital, and balance-sheet management each run their own, the numbers don't match, and you pay teams to reconcile them. Worse, every discipline reruns its own scenarios off its own data. Decisions wait on that reconciliation, and when an examiner asks how a figure was derived, the answer is scattered across five systems. Every silo is a cost center, a delay, and a control gap.
If you don't have models yet, building from scratch is its own burden - quants to hire, systems and models to code, years before it's functional, at high cost to develop and maintain. Either way you're carrying infrastructure that isn't your business. Bulls-Eye gives you a single platform you'd otherwise spend years assembling, with no modeling redundancies to maintain and nothing to reconcile.
Bulls-Eye replaces the modeling inventory with one platform.
Why Bulls-Eye · the value
Traditional banking and the digital balance sheet - your full enterprise on one platform. Measurable gains in revenue and cost, plus control, insight, and a common language across every function.
Synchronized, credible decisions and balance-sheet optimization, with capital deployed to its highest risk-adjusted return.
One validation. Fewer systems, no duplicative processing, and no reconciliation overhead across the modeling inventory.
One audit trail, full data lineage, and model-risk governance, with fix-once propagation across every view.
Trading, treasury, risk, and finance read the same data and views, with no reconciliation points and stronger joint decisions.
Add optimization and new capabilities over time. One whole product, with extra modules unlocked as you need them - no new implementation, no added architecture, no rip-and-replace.
Risk, capital, liquidity, earnings, FTP, attribution, optimization, hedge accounting, and governance - across traditional and digital balance sheets - modeled, valued, and reported from one shared platform in a single code base.
How it works · a category of one
One dataset feeds every discipline, and every figure is computed in a single pass - no exports, no translation layers between systems. Change an assumption once and capital, liquidity, earnings, and risk re-derive together, so the numbers never drift apart.
Every function reads from one shared dataset - common data, common views, no reconciliation points - so the whole enterprise makes stronger joint decisions.
Multiple areas, one platform. Start anywhere.
Trends & Forecasts
Project the balance sheet forward: NII, balance sheet, cash, and the capital and liquidity ratios over a 3-year horizon, quarter by quarter.
Forward rates · 90-day cash · Buy & funding tickets
ExploreMetrics
Earnings, economic value, liquidity, and capital, computed from one shared dataset across every scenario.
NII & EVE · Liquidity (LCR / NSFR) · Capital & RWA
ExploreOptimization
Turn the same dataset into action - reduce EVE risk, strengthen liquidity, and deploy excess capital, with shadow pricing.
Reduce EVE · Strengthen liquidity · Deploy capital
ExploreFinance Tools
Matched-maturity FTP with risk-based adjustments, enterprise attribution, and ASC 815? hedge accounting, off the same shared dataset.
FTP · Attribution · Hedge accounting
ExploreStress Testing
Calibrate shocks, generate scenarios, and reverse-solve for the scenario that breaks the institution.
Scenario generation · Reverse & concurrent · Crypto stress
ExploreGovernance
Model-risk governance, automated regulatory reporting, and controls embedded in every run.
Call Report & FR Y-9C · Model risk · Embedded controls
ExploreData Control
One shared dataset with full lineage, quality-checked at ingestion and traceable back to source.
Canonical model · Lineage & audit · Incomplete-data handling
ExploreWho We Serve
Built for the financial industry: banks, credit unions, digital-asset firms, and broad use cases.
Who we serve · Use cases · Entry points
ExploreCompany
The people behind Bulls-Eye: treasury and risk veterans building the enterprise financial platform.
About us · Leadership
ExploreOne enterprise view · traditional and digital
Digital assets are a fully integrated extension of the traditional banking framework - not a separate product. The same analytical disciplines, parameterized by instrument contract terms.
Unified scenario framework, unified balance sheet, and unified regulatory reporting - Call Report, FR Y-9C?, LCR?, NSFR?, and capital ratios from a single reporting platform, regardless of instrument type.
Every output · every scenario
Earnings, NII?, EVE?, liquidity, FTP? and capital - computed across rate, stress, and crypto-specific scenarios, from a single run.
Ready 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 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 - Model risk management and integration design.
Capital, liquidity, and reporting capability review for chief risk officers and regulatory-affairs teams.
Who stands behind it · people & advisory
Bulls-Eye is built and run by operators who have managed enterprise balance-sheet risk, capital, liquidity, and funding at the largest scale - and designed the models that run it. Operator judgment and modeling depth in the same people is the differentiator; most vendors have one half or the other. The discipline was forged in banking, under the most demanding regulators there are, which is why it holds up for any institution, traditional or digital.
Delivered as a service, the expertise comes with the platform - an extension of your risk and treasury function, with hands-on implementation by the same operators, supported by a technology team working under governed, controlled development.
Decades managing markets execution, enterprise risk, funding, and collateral at top-tier institutions · principal architects of the platform's modeling · RaaS delivery · hands-on implementation and support.
Founder & Architect
Managed markets execution and the development of enterprise risk frameworks for global portfolios - across non-USD rates, secured and unsecured funding, and international asset portfolios. Led the build of platforms for trading-book liquidity risk and enterprise collateral optimization, plus the global FTP logic, over 20 years at Bank of America.
Chief Executive Officer
25+ years in financial services, 19 at Bank of America - most recently Corporate Treasurer, managing funding and liquidity for the firm and its subsidiaries and leading 300+ staff across Charlotte, New York, London and Hong Kong. Earlier roles spanned CFO for Global Technology & Operations and Enterprise Stress Testing.