Plausity's AI Analysis Engine reads, interprets, cross-references, and reasons across thousands of documents and data points—producing DD-grade analysis with the rigour of a senior advisor and the speed of modern infrastructure.
Book a demoDue diligence is not a search problem. It’s a reasoning problem. A single transaction can span thousands of documents across financial statements, contracts, org charts, tax filings, and technical architectures—each demanding domain-specific interpretation, cross-referencing, and judgment. Generic AI falls apart here. Plausity’s Analysis Engine was purpose-built for this exact challenge.
The engine processes PDFs, spreadsheets, presentations, contracts, financial models, and unstructured text. It doesn’t just extract text—it understands document structure, tables, exhibits, cross-references, and embedded logic. Whether it’s a cap table in Excel or a warranty schedule buried in an SPA appendix, Plausity reads it the way a domain expert would.
The engine applies specialised analytical frameworks across six DD workstreams: Commercial, Financial, Legal, Organisational, Tax, and Tech & Cybersecurity. It knows that revenue recognition under IFRS 15 requires different scrutiny than a transfer pricing policy, and that a GDPR DPIA gap has different materiality than an open CIT audit year.
Findings don’t live in isolation. The engine automatically cross-references data across documents—matching revenue figures in management accounts against audited financials, reconciling contract terms with disclosed obligations, or comparing reported headcount with payroll data.
Not every finding carries the same weight. The engine scores each insight for materiality based on financial impact, legal exposure, and deal relevance—so your team focuses on what actually moves the needle rather than drowning in noise.
Every finding, every claim, every data point links back to its source document, page, and paragraph. Nothing is a black box. Your advisors can verify, challenge, and build on every output Plausity generates.
Where data is ambiguous, incomplete, or conflicting, the engine says so. Plausity flags uncertainty explicitly—distinguishing between what it has confirmed, what it has inferred, and what remains unresolved.
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.
Plausity’s analysis engine identified cross-document inconsistencies that our team would have spent weeks finding manually. It changed how we approach every deal.
Discover how Plausity\u2019s AI Analysis Engine transforms due diligence from manual review into intelligent analysis.
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