Diledge helps acquirers turn fragmented financial data into structured, reviewable diligence outputs — faster, more consistently, and with less manual work.
Lower-middle-market buyers spend too much time gathering data, rebuilding financials, reconciling files, and reviewing analyses that arrive late in the process. Diledge makes the diligence workflow faster, more structured, and more repeatable.
Clean and structure seller financial data from Excel, QuickBooks, PDF, and other source files.
Rebuild monthly P&L, balance sheet, trial balance, and supporting schedules.
QoE, EBITDA adjustments, NWC, bank reconciliation, and revenue analysis.
Surface anomalies, red flags, and management follow-up questions in a few days.
Delivered in days, at a fixed fee. Structured for lenders, investment committees, and deal teams that need to move fast.
Normalized EBITDA, revenue quality, non-recurring items, and accounting irregularities — with a management team interview to understand what's really driving the numbers.
No 100-page decks. An Excel workbook and summary with QoE findings, key issues, and deal considerations — ready to present to your lender or investment committee.
NWC peg and normalized level. Identifies working capital trends and normalizations that directly impact the purchase price mechanism.
Concentration risk, revenue stability, hidden dependencies.
Compensation, technology, and rent normalized under your ownership structure. Synergies and gaps that feed directly into your purchase price.
AUM rollforward, advisor concentration, client retention, and run-rate revenue analysis.
See WM AnalysisConcentration risk, revenue stability, hidden dependencies.
Compensation, technology, and rent normalized under your ownership structure. Synergies and gaps that feed directly into your purchase price.
AUM rollforward, advisor concentration, client retention, and run-rate revenue.
Clean, structured data is the foundation of every engagement. Analysis built on properly reconciled inputs — not assumptions.
Internally developed workflows accelerate data structuring and analysis — so senior time is spent on findings, not formatting.
Every output reviewed by a senior due diligence professional. Not just automated — accountable.
No hourly billing surprises. Fixed-scope engagements sized for lower middle-market deal economics.
Faster data preparation means faster analysis. Move from LOI to close with more information and more conviction.
Consistent analysis across every deal. Designed to build deal memory over time — so each engagement makes the next one sharper.
Designed for confidential financial diligence workflows.
All client files are encrypted at rest and in transit. No raw financial data is stored beyond the engagement lifecycle.
Built on AWS with controlled access, structured auditability, and isolated environments per engagement.
Client financial data is never used to train or fine-tune any AI model. Your deal information stays yours.
Diledge was founded by a former PwC financial due diligence professional with more than a decade of experience advising investors and acquirers on M&A transactions. The platform is designed around real diligence workflows, buyer needs, and transaction timelines.
Currently onboarding pilot engagements. If you have a deal in diligence or heading toward LOI, reach out.
Or email directly: contact@diledge.ai