Human-led,
AI-executed
deal due diligence.
DiligenceIQ analyses data room documents, market research and key deal questions to produce source-backed findings, red flags and IC-ready draft 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.
Project Meridian
Interface shown with illustrative data. No client or transaction information is used in these examples.
More information. More questions. Less time.
The evidence keeps growing, investment committees expect more behind every conclusion, and deal timetables keep shortening. The work absorbs the analysts, and the synthesis reaches the partners too late to shape the deal.
More information
Data rooms, management information and external sources continue to increase in volume and complexity.
Less time
Competitive deal processes require teams to form and test an investment view more quickly.
Inconsistent execution
The depth, quality and structure of analysis can vary across workstreams, teams and transactions.
Senior capacity constraints
Experienced professionals spend too much time reviewing material and too little time applying judgement, challenge and client advice.
One platform for evidence-backed deal diligence.
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 IC-ready draft outputs for human review.
The deal team remains in control throughout: setting the scope, defining the questions, reviewing evidence, challenging conclusions and owning the final recommendation.
One connected workflow — not a collection of AI tools.
Data room, financials, market research, management responses, the deal thesis and the IC's questions.
Ingest · structure · analyse · challenge · trace · draft — directed by the deal team at every stage.
Source-backed findings, red flags, evidence gaps, management questions and IC-ready draft outputs for human review.
Humans lead. AI executes.
The deal team sets the scope, challenges the evidence and owns the recommendation. The platform reads the evidence base, runs the workstreams in parallel and drafts the outputs — with every material finding traceable to its source.
Configure the platform around the deal.
Workstreams are activated per transaction against the scope agreed with the deal team. Not every workstream runs on every deal.
Where the evidence is — and where it is not.
Every requirement is mapped against the evidence base as the deal runs, so gaps become management questions and research tasks early rather than late.
Evidence coverage & gap analysis
Draft outputs
Screens are representative of the DiligenceIQ interface and use illustrative data throughout. All outputs are drafts for human review.
More coverage and capacity, with less execution effort.
The value chain runs: more evidence coverage, faster answers, less analyst effort, more senior judgement — and, over a portfolio, more deals in parallel.
More evidence coverage
A larger share of the evidence base actually read and tested, rather than the share that fitted the hours available.
Faster answers
A first view early enough to redirect the workstreams while the scope can still change.
Less analyst effort
Finding, reading, reconciling and drafting move to the platform. The analysis stays with the analyst.
More senior judgement
Partner time spent on challenge, management engagement and client advice rather than catching up with the evidence.
Same quality bar. Less execution time.
Indicative, from internal task-level testing.
Under 1 hr, against 3–4 hrs today.
1–3 hrs, against 2–3 days today.
2–6 hrs, against 1–2 days today.
4–8 hrs, against 20–40 hrs today.
Representative tasks, measured before quality assurance. Not a warranty of outcome on any given deal — the review step stays with your team.
Same platform. Different problem to solve.
Analyse more, across more deals
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.
A repeatable diligence capability
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.
Capacity without diluting the bench
Increase deal capacity and execution consistency while keeping senior advisers focused on judgement, 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.
Your deal data. Your control.
The questions your legal and infosec teams ask first: where did this finding come from, who approved it, and what happens to our data.
How deal information is handled
Secure ingestion, encryption in transit and at rest, client data isolation, defined retention and deletion, and hosting and data-residency options agreed at onboarding.
Access control
User and role-based access, audit trails across the workflow, and NDA and data-processing agreements as part of engagement.
How outputs are checked and evidenced
Source traceability from finding back to document, human approval before any output is used, and client data not used to train shared models.
Questions deal teams ask first.
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 draft 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.
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.
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.
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.
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.
How it works in detail → Security & data handling → Diligence workstreams →
Put DiligenceIQ to the test.
Run it against a deal you have already completed, or start with one workstream on one live transaction. Compare time saved, evidence coverage, analyst effort, finding quality and IC readiness.