The Kudra Acquisition 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

Full due diligence built for business investors

Screening

Turn a data room into a deal-risk map

Kudra auto-classifies every document, extracts seller claims from CIMs and financials, and flags missing or conflicting files across the data room.

Distinguishes deal risks from post-close integration risks from day one, so review time goes to what actually matters.

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Data-room and document-list screenshot

Due Diligence

Pressure-test the investment thesis

Kudra cross-checks claims across financial, commercial, legal, technical, and operating evidence, normalizing EBITDA and reconciling reported performance with bank activity.

Every conclusion is linked to the document, page, table, or clause behind it.

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Quality-of-Earnings screenshot

Transition Readiness

Know what must transfer before the seller leaves

A company can look attractive financially while staying deeply dependent on its owner or undocumented ways of working.

Kudra maps key-person dependencies, seller commitments, and single points of operational failure.

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Transition-readiness findings screenshot

First 100 Days

An executable integration plan

Kudra converts unresolved findings, transition risks, and thesis assumptions into a structured post-close plan.

See what must be protected immediately, what should be verified, and what can wait.

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First-100-days integration plan screenshot

Post-Close Intelligence

Keep the data room working after close

Kudra turns diligence findings, management answers, and operating data into a searchable intelligence layer for the new owner.

Tracks operational commitments and compares actual performance with diligence assumptions.

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Post-close intelligence layer screenshot
Platform

Your Agentic Acquisition
Operating System

Private and secure AI
Diligence Agents
QoE
Earnings quality & normalization
Risk Agents
Revenue Quality
Revenue durability
Cash Flow
Cash conversion
Operations Agents
Operations
Execution risk
Legal & Risk
Counsel review
Your Own Agent
Custom Agents
Customize your own Agent
Workflows
Setup your own business workflow
Platform
Specialized AI Agents
Use pre-built AI agents for due diligence
Knowledge Base
Upload your own knowledge base
Document Ingestion
Ingest unstructured documents
Specialized AI Agents Apply the same consistent due diligence workflow and standards to every deal, every time.
Integrations:
Google Drive OneDrive Dropbox Box QuickBooks Slack
Every diligence file type / PDF · Word · Excel · scanned docs & more
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
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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