HOW IT WORKS

Due diligence, reimagined from first principles.

Plausity is an AI-native platform that automates due diligence end-to-end — enabling deeper, more comprehensive analysis than traditional approaches can deliver. From data room to final report, every step is structured, cited, and traceable.

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Three steps. Complete clarity.

Uploading Documents
PDF
Annual_Report_2025.pdf
DOC
Board_Minutes_Q4.docx
64%
XLS
Financial_Model.xlsx
28%
01

Upload your data room

Connect your virtual data room or upload files directly. Plausity’s ingestion engine reads every document — PDFs, spreadsheets, contracts, presentations, financial models — and builds a structured understanding of the entire deal.

Key Finding
Critical
Material Contract Expiry Risk
Three material customer contracts representing €6.2M in annual revenue (∼15% of total) expire within the next 12 months. No evidence of renewal negotiations found in the data room.
📄Source: Customer_Contracts_Summary.xlsx, Tab "Expiry Schedule"
02

Receive structured findings

Within hours, receive findings structured by workstream, cited to their source — whether a specific document page or a public URL — and prioritised by materiality and deal relevance.

Deliverables
Export Report
Your DD report is ready. Choose a format to export.
PDF
DOCX
PPTX
03

Collaborate and deliver

Share findings with your team, assign reviews, add comments, and export investor-ready reports as Word or PowerPoint — all from a single workspace.

THE ARCHITECTURE

A modular system built on specialist intelligence.

Plausity doesn't rely on a single AI model to do everything. We decompose each due diligence into discrete analytical tasks — each handled by a dedicated expert AI agent with domain-specific knowledge. Think of it as assembling a team of specialist analysts, each deeply trained in their field, working in parallel and reporting to a senior lead who synthesises their work into a coherent whole.

YOUR DATA ROOM
PDFsSpreadsheetsContractsPresentationsFinancial ModelsPublic Sources
SPECIALIST AI AGENTS
Revenue Analysis
Contract Review
Tax Compliance
Org Structure
Tech & Cyber
ESG Assessment

Each agent analyses a specific aspect of the due diligence — revenue patterns, contractual obligations, tax exposure, organisational structure, technology stack, or ESG compliance — drawing from both the data room and public sources.

SYNTHESIS AGENT
Senior-level AI review
Weighs materiality, resolves contradictions, structures the narrative

A senior synthesis agent reviews all specialist outputs, cross-references findings for consistency, prioritises by deal relevance, and structures everything into a coherent due diligence narrative.

YOUR DELIVERABLE
Word Report
PowerPoint Deck
DEEP DIVE

How each layer works.

Dedicated expert agents

Each sub-task of a due diligence — revenue analysis, contract review, tax compliance, cybersecurity assessment — is handled by a specialist AI agent trained on that exact domain. These agents understand the difference between IFRS 15 revenue recognition and transfer pricing policy, between a GDPR gap and an open CIT audit year. They don’t generalise. They go deep.

AI Assistant
What are the key financial risks in this transaction?
Based on my analysis of the data room, I've identified 3 key risks:
1.Revenue concentration — Top 3 clients represent 47% of revenue
2.Working capital — DSO increased from 45 to 68 days
3.Pending litigation — €2.4M exposure in ongoing dispute

Deep source analysis

Agents don’t just extract text from documents. They interpret structure — tables, exhibits, cross-references, embedded logic — and reason across both your data room and public sources: company registries, regulatory filings, market data, and industry benchmarks. A cap table in Excel and a warranty schedule in an SPA appendix are read the way a domain expert would read them.

Source Reference
📄
Financial_Statements_2025.pdf
Page 47 · Section 4.2
“Revenue from the Northern European segment increased by €3.4M primarily driven by the acquisition of TechCo GmbH in Q2 2025...”
Confidence score92%

Synthesis by senior agents

Individual analyses flow into senior-level AI agents that weigh each finding for materiality based on financial impact, legal exposure, and deal relevance. They resolve contradictions between sources, identify gaps in the data room, and structure everything into a coherent narrative — the way a lead partner would review and synthesise work from their deal team.

Executive Briefing
€42.3M
Revenue
19.1%
EBITDA Margin
131
Docs Analysed
Target demonstrates solid revenue fundamentals with an 18% YoY growth trajectory. Three key risk areas identified across financial, legal, and commercial workstreams require attention prior to closing.
Generated 3 min agoAI Summary

Structured, citable output

Every claim in the final report traces back to a specific source — a document page, a paragraph, or a public URL. Nothing is a black box. Reports are delivered as polished Word documents or PowerPoint decks, formatted and structured for your investment committee, board, or client — ready to use without reformatting.

Report Draft
Section 4.2
Quality of Earnings Analysis
The target's reported EBITDA of €8.1M includes several non-recurring items totalling €1.4M. After normalisation adjustments, the sustainable EBITDA is estimated at €6.7M, implying an adjusted margin of 15.8%.3
Management has confirmed that restructuring costs of €0.8M are one-time in nature and relate to the consolidation of the Munich office.7
TRUST & TRACEABILITY

Built for verification, not blind trust.

Source Intelligence
Referenced Documents
PDF
Annual_Report_2025.pdf
Pages 12, 47, 83
98%
XLS
Financial_Model_v4.xlsx
Tabs: P&L, Balance Sheet
94%
DOC
Board_Minutes_Q4.docx
Pages 3–7
87%

Every finding, every claim, every data point links back to its source document, page, and paragraph — or to the public URL where the information was found. Your advisors can verify, challenge, and build on every output Plausity generates.

Plausity distinguishes between what it has confirmed, what it has inferred, and what remains unresolved. Each finding carries a confidence indicator so your team knows exactly how much weight to give it.

Findings cite both data room documents and public internet sources — company registries, regulatory databases, financial filings — so you see the complete evidentiary picture, not just one side of it.

Where data is ambiguous, incomplete, or contradictory, Plausity tells you explicitly. The system flags what it could not verify rather than filling gaps with assumptions.

As new documents enter the data room and the deal evolves, the engine re-evaluates prior findings in light of new information. Analysis isn’t static — it sharpens as the picture becomes clearer.

6
DD workstreams automated in parallel
80%
Faster time-to-insight compared to manual review
100%
Source traceability across every finding
Project Status Overview
Project NameDate InitiatedStatusProgress
Project Eagle
Jan 10, 2026Completed
100%
Commercial Due Diligence
Jan 12, 2026
100%
Financial Due Diligence
Jan 18, 2026
100%
Tech Due Diligence
Feb 03, 2026
100%
Project Titan
Dec 08, 2025In Progress
72%
Project Alpha
Nov 22, 2025In Progress
45%
“”

We used to spend weeks assembling findings across workstreams. With Plausity, the entire due diligence is structured, cited, and ready for review in a fraction of the time — without sacrificing depth.

Senior Managing Director
European M&A Advisory Firm

See Plausity in action.

Book a personalised demo and discover how our AI agents can transform your next transaction.

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PLAUSITY
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