The Acquisition AI Co-Pilot

Your AI co-pilot from diligence to post-close

Kudra helps acquisition entrepreneurs and investors pressure-test a deal before closing, capture the knowledge that makes the business work, and turn the data room into an operating intelligence layer after closing.

SOC 2 Type II · Your data never trains a model · Every finding linked to its source
app.kudra.ai/acme-corp/acquisition-intelligence
Overview Data Room 55 Seller Claims 42 Findings 87 Integration Risks 14 Knowledge Transfer 68% Q&A Report 100-Day Plan
RC
You
Analyze the data room. Pressure-test the seller's claims around earnings quality, revenue durability, and operational risk. Then identify the knowledge, relationships, and dependencies that must be transferred before the founder exits.
AI
Kudra AI Acquisition Reality Check

I reviewed all 55 documents and extracted 42 seller claims from the CIM, financials, contracts, and operating materials.

Several claims are supported, but I found material issues affecting both the transaction and the post-close transition:

  • Reported EBITDA requires significant normalization.
  • Four major customer contracts expire within 12 months.
  • Important supplier and customer relationships remain dependent on the founder.
  • Maintenance records indicate deferred equipment spending.
  • Several recurring operating processes are undocumented.
  • Two department heads hold critical knowledge with no documented backup.
Kudra Reality Check — Acme Corp Generated
Normalized EBITDA
$1.53M
▼ 16.8% vs. reported
Revenue at risk
$1.81M
4 contracts flagged
Post-close exposure
$395K
CAPEX + working capital
Integration readiness
68%
14 transition risks
Claim-versus-evidence summary
Seller claim
Assessment
Key issue
EBITDA is $1.84M
Contradicted
Normalizes to $1.53M after adjustments
Revenue is recurring
Mixed
4 major contracts expire within 12 months
Customer base is diversified
Contradicted
Top 3 customers represent 48% of revenue
The business can operate without the owner
Mixed
Key relationships and approvals remain founder-dependent
Processes are well documented
Contradicted
Critical workflows rely on informal employee knowledge
EBITDA bridge reported → normalized (TTM)
$1.84M
Reported
+120K
Owner comp
+95K
One-time legal
+60K
Travel
−85K
Unrec. COGS
−210K
Deferred rev
−190K
Inventory
$1.53M
Normalized
Total Add-back Deduction

The two largest financial issues are a $210K deferred-revenue reversal and a $190K inventory writedown related to the discontinued SensorPro line.

The most significant integration risk is founder dependency. The owner remains the primary relationship holder for three of the company's five largest customers and approves pricing exceptions, supplier escalations, and production scheduling through undocumented processes.

I would treat both the seller's earnings-quality claim and the assertion that the company is ready for a clean owner transition as unverified until these items are reviewed and incorporated into the purchase agreement, transition plan, and first 100 days.

Ask the acquisition co-pilot — e.g. "which seller claims are contradicted by the source documents?"
One platform

Protect the investment before and after closing

Most acquisition intelligence disappears when diligence ends. Reports are filed away. Advisors leave the process. The seller's knowledge remains undocumented. The new owner enters the business with hundreds of documents but no unified view of what must be protected, transferred, verified, or changed.

Kudra keeps the intelligence developed during diligence alive after closing.

Before close
  • Screen the data room
  • Validate earnings
  • Assess revenue durability
  • Find operational red flags
  • Identify owner and key-person dependency
During the transition
  • Build the knowledge-transfer plan
  • Track seller commitments
  • Document critical processes
  • Map customer, supplier & employee relationships
  • Prepare the first 100 days
After close
  • Monitor whether the investment thesis is holding
  • Compare actual performance with diligence assumptions
  • Preserve institutional knowledge
  • Track operational commitments & unresolved findings
  • Give the new owner a source-linked intelligence layer

From the first CIM review to the first year of ownership, Kudra keeps the acquisition focused on two questions:

Does the evidence support the investment story?

And what must be preserved for that story to remain true after closing?

Step 01 · Screening

Turn a messy data room into a deal-risk map

  • Auto-classifies documents by diligence workstream
  • Extracts seller claims from CIMs, decks, financials, and operating reports
  • Flags missing documents and unsupported claims
  • Detects duplicate, outdated, and conflicting files
  • Distinguishes deal risks from post-close integration risks
Data-room and document-list screenshot
Step 02 · Due Diligence

Pressure-test the investment thesis

Kudra cross-checks claims across financial, commercial, legal, technical, and operating evidence. Every material conclusion is linked to the document, page, table, clause, or transaction behind it, giving your team a structured starting point for deeper review by accountants, counsel, technical experts, and operating advisors.

  • Normalize EBITDA and validate add-backs
  • Reconcile reported performance with bank activity
  • Assess customer concentration and contract durability
  • Identify working-capital and CAPEX exposure
  • Generate targeted follow-up questions
Quality-of-Earnings screenshot
Step 03 · Transition Readiness

Know what must be transferred before the seller leaves

A company can look attractive financially while remaining deeply dependent on its owner, a handful of employees, or undocumented ways of working. Kudra analyzes the data room and management materials to identify the relationships, decisions, processes, and institutional knowledge that may not transfer automatically with ownership.

  • Maps owner and key-person dependencies
  • Extracts seller transition commitments
  • Surfaces customer & supplier relationships requiring handover
  • Detects single points of operational failure
  • Builds role-specific knowledge-transfer checklists
Transition-readiness findings screenshot
Step 04 · First 100 Days

Turn diligence findings into an executable integration plan

Kudra converts unresolved findings, transition risks, seller commitments, and investment-thesis assumptions into a structured post-close plan. Your team can see what must be protected immediately, what should be verified, what can wait, and which early changes could disrupt the company before the new owner fully understands it.

First-100-days integration plan screenshot
Step 05 · Post-Close Intelligence

Keep the data room working after the deal closes

The data room should not become a static archive. Kudra turns the documents, diligence findings, management answers, transition interviews, and operating data collected during the acquisition into a searchable intelligence layer for the new owner.

  • Compares actual performance with diligence assumptions
  • Tracks operational commitments and unresolved findings
  • Gives the new owner a source-linked intelligence layer
Post-close intelligence layer screenshot
The agent team

One acquisition co-pilot. Multiple specialist agents.

The Kudra Acquisition Co-Pilot plans the review, routes evidence to specialist agents, reconciles findings, and produces one source-linked view of the business from diligence through integration.

Acquisition Co-Pilot

Plans the workstreams, extracts seller claims, assigns reviews, connects diligence findings to transition priorities, and maintains a single acquisition-intelligence layer

Orchestrator

QoE Agent

Earnings quality

Tests reported EBITDA, seller add-backs, revenue recognition, unusual expenses, and normalization adjustments.

  • EBITDA normalization
  • Add-back validation
  • Related-party and owner expenses

Revenue Quality Agent

Revenue durability

Checks whether revenue is real, recurring, concentrated, contracted, and likely to continue after the transaction.

  • Customer concentration
  • Contract durability
  • Change-of-control exposure

Cash Flow Agent

Cash conversion

Compares reported performance with actual cash movement and identifies working-capital pressure, distributions, debt service, and cash leakage.

  • Bank-to-P&L reconciliation
  • Working-capital needs
  • Post-close cash requirements

Operations Agent

Execution risk

Tests whether the company can support the investment thesis using its people, suppliers, systems, capacity, and operating processes.

  • Capacity bottlenecks
  • Owner and key-person dependency
  • Operational continuity

Technical Diligence Agent

Technical & operating claims

Reviews equipment, maintenance, quality, process documentation, IP records, technical staffing, and product or engineering claims.

  • Deferred CAPEX
  • IP and technical ownership
  • Technical staffing risk

Legal and Risk Agent

Issues for counsel review

Identifies contract provisions, obligations, assignment gaps, change-of-control clauses, litigation references, and risk items requiring legal review.

  • Change-of-control clauses
  • Seller transition obligations
  • Restrictive covenants

Knowledge Transfer Agent

Institutional knowledge

Identifies the knowledge, relationships, routines, and decision processes that may not be captured in formal documentation.

  • Founder-held knowledge
  • Customer & supplier relationship ownership
  • Transition interview questions

Integration Agent

First 100 days

Converts diligence findings and transition risks into a prioritized integration plan.

  • Day-one continuity risks
  • Seller handover tracking
  • 30-, 60-, and 100-day actions
Features

Everything acquisition entrepreneurs need to buy—and inherit—a business with confidence

Findings, financials, questions, documents, transition risks, operating knowledge, and reports stay connected in one workspace. Every conclusion remains traceable to the evidence.

Claim-versus-evidence report

Kudra turns the data room into a structured diligence report showing which seller claims are supported, contradicted, mixed, or still missing evidence. Export the report to PDF or share a live link with your deal team, QoE provider, counsel, lender, operating advisor, or investors.

Risk scorecardLive
FinancialCritical
RevenueHigh
OperationsMedium
TechnicalHigh
LegalReview req.
IntegrationHigh risk
KnowledgeIncomplete

Transition-readiness report

Understand whether the business can continue operating effectively after the founder steps away — knowledge concentrated in the owner, relationships requiring formal handover, employees whose departure would disrupt continuity, and undocumented workflows.

Source-linked findings

Every finding cites the exact document, page, table, clause, email, interview note, or transaction behind it. No unsupported conclusions, no black-box AI output — one click takes your team back to the evidence.

Ask the acquisition co-pilot

Query the entire acquisition record in plain English — before, during, and after the deal.

  • "What knowledge must be transferred before the seller exits?"
  • "How does actual performance compare with the deal model?"

Automated request & transition lists

Kudra identifies missing or inconsistent evidence and drafts the appropriate follow-up request.

  • unsupported add-backs
  • customer introduction schedule
  • process walkthroughs
  • password & system transfer

Investment-thesis tracker

Turn the assumptions behind the acquisition into measurable items that can be verified after closing — revenue retention, margin stability, working-capital needs, owner-dependency reduction — each linked to the original evidence, owner, and status.

Built for the whole acquisition team

Searchers, investors, analysts, lenders, accountants, counsel, operating experts, and management teams can work from the same evidence base before and after closing.

By the numbers

Acquisition work that used to take weeks

10×
faster first-pass data-room review
500 docs
analyzed across financial, operational, legal, technical & integration workstreams
42 claims
extracted and cross-checked from seller materials
87
findings surfaced and traced back to their sources
$310K
in EBITDA adjustments identified before signing
$395K
in potential post-close exposure flagged for review
14
integration risks converted into transition and first-100-day actions

One intelligence layer — maintained from initial screening through post-close operations.

Connects to your stack

Integrate with the systems your deal team already uses

Sync from the VDR, accounting platform, shared drive, or operating system your team already uses. Kudra reads common diligence and business file types without requiring a complex migration.

Google Drive Google Drive
Microsoft OneDrive OneDrive
Dropbox Dropbox
Box Box
QuickBooks QuickBooks

PDF · Word · Excel · PowerPoint · scanned documents · OCR · emails · contracts · financial statements · SOPs · technical files · customer records · meeting notes · and more

Security & compliance

Built for confidential transactions and operating data

Kudra is designed for sensitive transaction and company information. Your documents and operating data remain yours.

  • Your data is never used to train a model
  • Source-linked outputs for review and verification
  • Single-tenant deployment options
  • Configurable data residency
  • Granular roles and permissions
  • Audit logs
  • SSO and SAML
  • SOC 2 Type II compliant

SOC 2 Type II

Independently audited security controls

Encryption

AES-256 at rest, TLS 1.2+ in transit

Privacy

GDPR- and CCPA-ready data handling

Full audit trail

Every access, upload, finding, comment, and action is logged

Free deal scan

Run a free Kudra Acquisition Reality Check

Send us a CIM and a small set of supporting documents from an active or completed deal. We will run a free first-pass analysis and show you:

  • Which seller claims are supported
  • Which claims are contradicted
  • What evidence is missing
  • What could affect valuation or deal structure
  • Which issues could create post-close exposure
  • Where the business depends on the owner or key employees
  • What knowledge must be transferred before the seller exits
  • Which questions to send back to the seller

No generic demo. No commitment. Just a real analysis of a real acquisition.

Deal and transition report screenshot

Do not let your acquisition intelligence disappear at closing

Pressure-test the deal. Capture how the company really works. Enter the first 100 days with the evidence, knowledge, and priorities needed to protect the investment.

FAQ

Questions, answered

How does Kudra make sure its findings are accurate?
Kudra does not ask AI to guess. It extracts claims and facts, cross-checks them across the available evidence, and links each material finding to the exact document, page, clause, table, transaction, or interview note supporting it. Your team reviews material findings before they are used in a report or decision.
Does Kudra replace QoE providers, counsel, technical experts, or integration advisors?
No. Kudra helps these specialists work faster and from a more complete evidence base. It organizes documents, cross-checks claims, surfaces inconsistencies, identifies areas requiring expert judgment, and preserves the resulting intelligence in one workspace. Accountants, counsel, technical experts, and operating advisors remain responsible for their professional conclusions.
How does Kudra support the business after closing?
Kudra converts diligence findings into transition priorities, knowledge-transfer requests, seller handover tasks, first-100-day actions, and investment-thesis metrics. The same source-linked workspace can then incorporate new operating documents and results, allowing the new owner to compare actual performance with the assumptions made during the acquisition.
What is a transition-readiness assessment?
It evaluates whether the company can continue operating effectively after the owner leaves. Kudra looks for owner dependency, key-person risk, relationship concentration, undocumented processes, informal approval structures, incomplete handover obligations, and other continuity risks that may not appear in the financial statements.
Can Kudra capture tacit or undocumented knowledge?
Kudra cannot automatically know information that has never been documented or communicated. It can identify likely knowledge gaps based on the evidence, generate targeted interview and process-walkthrough questions, organize management responses, and convert those responses into a searchable knowledge base and transition plan.
What file types and data rooms can Kudra read?
Kudra supports PDFs, spreadsheets, Word documents, presentations, scanned files, emails, contracts, financial statements, bank statements, SOPs, technical documentation, and other common business records. It can connect with commonly used shared drives, accounting systems, and virtual data-room workflows.
Does my data train an AI model?
No. Customer documents and operating information are not used to train shared AI models.
Can my whole deal team collaborate in one project?
Yes. Investors, analysts, accountants, counsel, lenders, technical specialists, operating advisors, and management-team members can collaborate through role-based access, comments, assignments, review statuses, and source-linked findings.
How long does setup take?
A first-pass project can begin as soon as the initial documents are available. Kudra classifies and organizes the files automatically, allowing the team to start with the most material questions rather than manually organizing the data room.
Kudra

Kudra is an AI co-pilot that helps acquisition entrepreneurs and investors pressure-test a deal, capture how the business really works, and keep that intelligence alive through the first year of ownership.

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