Source-mapped
Inputs stay tied to customer records and source exceptions.
Client
Customer cube analytics for transaction teams.
Wysdome adapts the same customer-level revenue evidence model to banks, funds, boutiques, sponsors, corporate development teams, and lenders.Client routes
Different roles, same customer-level evidence.
The client framing changes by process. The underlying discipline does not: source-mapped revenue, reviewable definitions, and outputs that can support diligence questions.Sell-side preparationInvestment BanksPrepare reviewable customer revenue evidence before buyer questions start arriving.Open Investment diligenceHedge FundsStress-test revenue durability, concentration, churn, and downside risk with customer-level source evidence.Open Advisor enablementBoutique Advisory FirmsAdd institutional customer-revenue analytics without hiring a full diligence analytics bench for every transaction.Open Pre-close and post-closePrivate Markets TeamsCarry customer-level diligence into value creation planning after close.Open Strategic M&ACorporate DevelopmentEvaluate target customer quality, retention, overlap, and cross-sell potential before integration planning begins.Open Credit diligence supportLendersAssess customer revenue concentration, recurring quality, renewal exposure, and downside scenarios for credit review.Open
Builder
An end-to-end workflow for financial-institution revenue evidence.
The platform route is not a generic dashboard. It is a controlled path from files to reviewable transaction outputs.source_pipeline.ts
const sourceFiles = intake.crm + intake.billing;const customerMap = reconcile(sourceFiles);return generateCube(customerMap, definitions);Monarch AI
Evidence BuilderDescribe the output, source systems, required definitions, and review constraints.Generate cube, Data Pack, and exception log...
task preview
Customer CubeData PackException LogReusable outputs
Cube and Data Pack patterns repeat across transactions.
Governed review
Definitions, caveats, and boundaries stay visible.
Scoped consulting
Commercial interpretation is separated from standard analytics.
Client detail
The shared use cases remain clear after the visual overview.
Use the client routes to move from broad positioning into the specific questions, source files, outputs, and consulting fit for each transaction-team role.Client types
6Banks, funds, advisors, lendersCore model
One cubeCustomer x product x periodPrimary benefit
A&A timeLess repeat workbook rebuildConsulting
ScopedWhen the deal needs judgmentClient routes
Choose the role, then review the evidence model around it.
Investment Banks
Prepare reviewable customer revenue evidence before buyer questions start arriving.
View Investment BanksHedge Funds
Stress-test revenue durability, concentration, churn, and downside risk with customer-level source evidence.
View Hedge FundsBoutique Advisory Firms
Add institutional customer-revenue analytics without hiring a full diligence analytics bench for every transaction.
View Boutique Advisory FirmsPrivate Markets Teams
Carry customer-level diligence into value creation planning after close.
View Private Markets TeamsCorporate Development
Evaluate target customer quality, retention, overlap, and cross-sell potential before integration planning begins.
View Corporate DevelopmentLenders
Assess customer revenue concentration, recurring quality, renewal exposure, and downside scenarios for credit review.
View LendersCommon thread
Different roles, same customer-level evidence.
The client framing changes by process. The underlying discipline does not: source-mapped customer revenue, reviewable definitions, and output packs that can support diligence questions.01Prepare sell-side data packs before buyer diligence begins.02Stress-test revenue durability, concentration, retention, and churn.03Support IC, credit committee, lender, and buyer Q&A materials.04Carry the customer revenue baseline into first-100-days value creation.05Identify source-data exceptions before they become process problems.06Decide which bespoke consulting work is worth scoping after the standard analytics are visible.