DiligenceIQ analyses data room documents, market research and key deal questions to produce source-backed findings, red flags and IC-ready outputs in one workflow.
It helps deal teams manage more deals in parallel, improve consistency and give senior teams more time for judgement, challenge and client advice.
Built for private equity, corporate M&A and transaction advisory teams.
Interface shown with illustrative data. No client or transaction information is used in these examples.
Deal timelines are becoming shorter while data rooms, external information and investment committee expectations continue to grow. Deal teams are expected to analyse more evidence, test more questions and produce better-supported conclusions without proportionally increasing headcount.
The result is a capacity problem. Analysts spend too much time finding, reading, reconciling and drafting information, while senior professionals receive the synthesis too late to challenge the deal properly.
Data rooms, management information and external sources continue to increase in volume and complexity.
Competitive deal processes require teams to form and test an investment view more quickly.
The depth, quality and structure of analysis can vary across workstreams, teams and transactions.
Experienced professionals spend too much time reviewing material and too little time applying judgment, challenge and client advice.
DiligenceIQ brings deal documents, market research and key deal questions into a single controlled workflow. Specialist AI agents analyse information across defined diligence workstreams and produce source-backed findings, potential red flags, open questions and draft IC-ready outputs.
The deal team remains in control throughout: setting the scope, defining the questions, reviewing evidence, challenging conclusions and owning the final recommendation.
Directed by the deal team at every stage. New documents and management responses can be added at any point and the relevant analysis re-run.
DiligenceIQ does not remove human responsibility from the deal process. It separates the work that requires professional judgment from the work that can be executed, repeated and scaled through AI.
Scope, interpretation, challenge and the final recommendation.
Execution, repetition and scale, under human direction.
Each transaction requires a different combination of questions, evidence and specialist analysis. DiligenceIQ allows the deal team to activate the workstreams relevant to the transaction and adapt them as the investment thesis develops.
Supports analysis. It does not replace formal financial due diligence or an independent valuation where one is required.
DiligenceIQ does not replace legal, tax, regulatory, cyber or other specialist due diligence, or the qualified professionals who perform it. It enables and accelerates their work by structuring the evidence and surfacing the questions earlier.
Requirements are mapped against the evidence base as the deal runs, so gaps become management questions and research tasks early rather than late.
Click a requirement in the map to see why it matters and how to close the gap. Node size reflects its weight in the diligence.
01_Executive_Summary.pdf
02_Corporate_Overview.pdf
03_Investment_Thesis.pdf
04_Commercial_Due_Diligence.pdf
05_Financial_Due_Diligence.pdf
06_Legal_Due_Diligence.pdf
07_Operational_Due_Diligence.pdf
08_Technical_Due_Diligence.pdf
09_ESG_Due_Diligence.pdf
10_HR_Organisational_Due_Diligence.pdf
Screens are representative of the DiligenceIQ interface and use illustrative data throughout. All outputs are drafts for human review.
Run document analysis and specialist workstreams in parallel, helping teams support more active transactions.
Apply a structured approach to deal questions, evidence, findings and outputs across every engagement.
Connect material findings and red flags back to the supporting source documents.
Reduce manual reading, searching and drafting so senior professionals can focus on interpretation, challenge and client advice.
Analyse more information across more active deals without increasing the diligence burden on senior investment professionals.
Key outcomesFaster first view of a target · more consistent deal analysis · better-supported IC discussions · more time for thesis development and challenge.
Create a repeatable diligence capability across transactions, geographies and business units.
Key outcomesStandardised diligence questions · greater continuity between diligence and integration · improved evidence management · stronger internal governance.
Increase deal capacity and execution consistency while keeping senior advisers focused on judgment, challenge and client advice.
Key outcomesMore concurrent engagements · reusable firm methodologies · consistent workstream execution · faster production of evidence-backed outputs · more time for senior client interaction.
For advisory firms, DiligenceIQ is an enabler rather than a substitute. The methodology, the client relationship and the professional opinion remain the firm's.
A platform that touches a live data room has to answer three questions before it answers any others: where did this finding come from, who approved it, and what happens to our data.
Secure document ingestion, encryption in transit and at rest, client data isolation, defined retention and deletion, and hosting and data-residency options agreed at onboarding.
User and role-based access, audit trails across the workflow, and NDA and data-processing agreements as part of engagement.
Source traceability from finding back to document, human approval before any output is used, and client data not used to train shared models.
A human-led, AI-executed platform for deal due diligence. It analyses data room documents, market research and key deal questions to produce source-backed findings, red flags and IC-ready outputs in one workflow.
No. Commercial diligence is one of the workstreams that DiligenceIQ can support. The platform is designed around the broader deal diligence process and can bring together commercial, financial, operational, technology, management, risk and other specialist analyses in one workflow. The precise scope is configured around the requirements of each transaction.
Commercial and market, customer and revenue, financial and valuation analysis, operational, technology and product, management and organisation, and regulatory, ESG and risk — alongside deal thesis development and investment committee preparation. Workstreams are activated per transaction.
No. It is designed to enable advisers and internal teams, not substitute for them. The methodology, the professional opinion and the client relationship remain with the firm or the deal team.
No. It supports analysis and structures the evidence, but it does not replace formal financial, legal, tax, regulatory, cyber or other specialist due diligence, or an independent valuation where one is required.
The team sets the transaction context and investment thesis, defines the key deal questions, and activates the workstreams relevant to the deal. Scope can be adjusted at any point as the thesis develops.
Yes. Deal questions, workstream structure and output templates can be aligned to your existing diligence playbook and IC format. Your methodology remains yours.
Material findings are linked back to the supporting source — document, page, table or extract — wherever it is available. Where evidence is partial, contradictory or absent, that is recorded as a gap or an open question rather than presented as a conclusion.
Outputs are produced as drafts. Nothing is released into IC materials without a named reviewer from the deal team approving it. Interpretation, challenge and the final recommendation remain human responsibilities.
Data room documents, management information, financial and operating reports, and approved external research across common document and spreadsheet formats. Document handling is confirmed as part of technical onboarding.
Yes. New documents, questions and management responses can be added throughout the process, and the relevant analysis re-run so the view stays current.
Through secure ingestion, encryption in transit and at rest, client data isolation, role-based access, audit trails and defined retention and deletion. Hosting, data residency and deployment options are agreed at onboarding and covered by NDA and data-processing agreements.
No. Client data is not used to train shared models.
Yes. Advisory firms use it to increase deal capacity and execution consistency while keeping senior advisers focused on judgment, challenge and client advice. Firm methodologies can be encoded and reused across engagements.
Yes, subject to the usual onboarding, security review and approval. Most firms begin with one workstream on one live transaction before widening scope.
Licensing is based on users, workload and support requirements, with deployment options confirmed during technical review. The clearest starting point is a demo, followed by a scoped pilot on a live or recent transaction.
See how DiligenceIQ can be configured around your deal process, sector and diligence methodology. Partner-led, around 30 minutes.