Financial due diligence infrastructure

Diligence at deal speed.

Diledge turns fragmented seller financial information into reconciled data, Quality of Earnings, Working Capital Analysis, and decision-ready findings — in days, not weeks.

Built for lower-middle-market deals  ·  Senior-reviewed diligence  ·  Fixed-fee engagements

The workflow

From data to decision in days, not weeks.

01 /

Structure

Accounting files, Excel, PDFs and supporting schedules become clean, standardized financial data.

02 /

Reconcile

Financial statements, trial balance, bank activity and supporting records are tied together.

03 /

Analyze

QoE, EBITDA adjustments, NWC, revenue quality and deal-specific analyses are performed.

04 /

Review

Findings are reviewed by an experienced diligence professional and delivered in a lender- and IC-ready format.

The numbers shouldn't be the bottleneck in a deal.

Seller data arrives across accounting systems, spreadsheets, PDFs and supporting files. Diledge structures the data, reconciles the numbers and accelerates the analysis so your team can spend its time on the issues that actually affect the deal.

Outputs

Everything you need to understand the numbers behind the deal.

A working Excel databook

You receive the working file, not a summary of it. Formulas live, every figure traceable back through the adjustment and the account to the source document behind it.

Project_Atlas_Databook.xlsx
$000sFY24FY25LTM
Revenue46,80049,90051,240
Gross profit17,42018,61019,260
Reported EBITDA4,2404,8904,800
Diligence adjustments(180)(320)(400)
Adjusted EBITDA4,0604,5704,400
TB DatabaseMonthly P&L TrendingQoE Adj. DBBridge Balance SheetNWC

Quality of Earnings

A defensible bridge from reported to adjusted EBITDA, with every adjustment sourced back to the underlying records and explained in plain language.

Adjusted EBITDA bridge $4.4M
0.02.0 4.06.0 4.8 +0.2 +0.1 −0.5 −0.2 4.4 Reported Ownercomp Assetwrite-off One-timerevenue Below-mktrent Adjusted
Reported & adjusted Diligence adjustments
$ millions. Illustrative — representative figures, not client data.

Net Working Capital

Normalized working capital with a defensible peg, so the purchase price mechanism is settled on evidence rather than argument.

Normalized NWC · LTM $3.6M
2.83.2 3.64.0 Proposed peg 3.6 4.0 JanApr JulOctDec
$ millions. Illustrative — representative figures, not client data.

Revenue Quality

Customer concentration, retention and consistency — the tests that decide whether reported revenue is durable enough to underwrite.

Top customers · % of revenue 44%
Customer ACustomer BCustomer C 14%21% 10%13% 7%10% 0%10% 20%30%
FY24 LTM
Illustrative — representative figures, not client data.
Finding 07 High priority

Customer concentration increased materially

Top 3 customers — FY24
31%
Top 3 customers — LTM
44%  ↑ 13 pts

Revenue associated with the largest customer is concentrated in two recently renewed contracts. Renewal terms and remaining duration should be confirmed before pricing.

Management follow-up

Cash Proof

Reported revenue proven against actual bank deposits, month by month. The fastest way to know whether the top line is real before you underwrite it.

Revenue to deposits · LTM 100%
  • Reported revenue$51,240K
  • Bank deposits received$50,905K
  • Timing differences at period end$410K
  • Non-revenue deposits removed$(75)K
  • Unexplained variance$0K
Illustrative — representative figures, not client data.

Run-Rate

What the business earns going forward, not what it earned looking back — contracted pricing, current headcount and straight-line rent carried to a forward run-rate.

Run-rate EBITDA $4.5M
  • LTM adjusted EBITDA$4.4M
  • Annualized Q4 pricing+$185K
  • Contracted headcount changes$(95)K
  • Straight-line rent+$40K
  • Run-rate EBITDA$4.5M
Illustrative — representative figures, not client data.

Source-Level Testing

Reported figures tied back to the records that produced them — bank, AR, payroll and tax filings — so findings survive a lender's review.

Tie-out summary 4 / 4
  • Cash to bank statements12 of 12 months
  • Revenue to accounts receivableAgreed
  • Payroll to tax filings4 quarters
  • Trial balance to financial statementsAgreed
Illustrative — representative figures, not client data.

And whatever else the deal asks for.

These are the analyses we run most often. If the deal depends on a specific issue, we scope it into the engagement.

The platform

See the diligence happen. Not weeks later.

Your deal sits in a live workspace. Findings appear the moment they are confirmed rather than in a status call, and you can commission an additional analysis yourself — without a change order or a new scoping conversation.

Why Diledge

Software speed. Diligence judgment.

Traceable end to end

Every figure carries its lineage. Click any number and follow it back through the adjustment, the account, and the source document it came from — with a full audit trail of what changed and when.

Built on structured data

Every analysis begins with clean, reconciled financial data — not with assumptions layered on an unverified export.

Accelerated with AI

Technology handles repetitive preparation and analysis so professional time goes toward judgment.

Reviewed by professionals

Every deliverable is reviewed by an experienced financial diligence professional before it reaches you.

Fixed fee Days, not weeks Repeatable methodology
Company

Built by people who have done due diligence.

Thomas Schmitt
Founder & CEO
Former Transaction Advisory Director, PwC
Wharton MBA

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 built around how diligence is actually performed — real workflows, real buyer questions, and the transaction timelines that lower-middle-market deals run on.

Your deal data stays secure.

Encrypted in transit & at rest

Retained only for the engagement lifecycle.

AWS infrastructure

Controlled access, audit logs, US data residency.

Isolated engagement environments

No shared state between deals.

Never used to train AI models

Your financial data is never used for training.

Move faster on the numbers.

Discuss a Deal

Or email contact@diledge.ai