Volume before judgment
Most of the first two weeks go into reading and reconciling. The questions that decide the deal come last, when there is the least time for them.
Introducing AI Due Diligence
Needl.ai reads every document in a private equity or private credit data room, validates the model against the source data, benchmarks the financials and flags what matters. A first pass in around 30 minutes, a fully cited investment committee memo in hours, and findings linked to the passages behind them.
The reading gets done. The judgment waits.
A data room lands with a few hundred files and a committee date. Contracts, models, decks and disclosures get read one at a time, numbers get rebuilt in spreadsheets, and the clause that changes the thesis turns up late, if it turns up at all.
Numbers that disagree
The CIM, the model and the filings rarely tell the same story. A projection the underlying data cannot support is easy to miss when the checks are manual.
Findings without a trail
Risks live in emails, notes and slides. When the committee asks where a finding came from, someone goes back to the room to look.
One workflow, from the first read to the committee
The same room, read by Needl.ai, comes back as a first pass, a validated model, a consolidated risk view and a memo, in that order.
A first pass in minutes
A go / no-go checklist and the risk flags that matter, around 30 minutes after the room is loaded.
A validated model
Projections checked against the underlying data, with every mismatch surfaced before the IC discussion.
Every risk in one view
Commercial drivers, partnership dependencies, legal and covenant exposure and IP risk, consolidated and ranked by severity.
A cited IC memo
Thesis, risks, financial validation and recommendation in your format, with each conclusion linked to its evidence.
From data room to decision
How a deal moves through Needl.ai, start to finish.
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01Load the data room
Upload the files or connect the drive the room lives in. Contracts, financial models, partnership agreements, employee documents and investor decks are read, classified and indexed, and a connected view of the deal is ready in minutes.
You getA readiness view of every file in the room.
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02First-pass assessment
In around 30 minutes Needl.ai returns a first-pass diligence assessment: a go / no-go checklist across the business and the flags that decide whether the deal deserves the full workflow.
You getA go / no-go checklist and the key risk flags.
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03Validate the model
The financial model is checked against the underlying data. Inconsistencies are caught here, like a projected $20M in revenue against a realistic $2M.
You getA validated model with every mismatch flagged.
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04Surface the risks
Commercial drivers, partnership dependencies, legal and covenant exposure and IP risks are reviewed automatically and consolidated into one ranked view, each with its observed evidence and a recommended action.
You getA consolidated risk and red-flag report.
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05Compile the memo, then ask and trace
A fully cited investment committee memo, with thesis, risks, financial validation and recommendation, in your preferred format. Analysts dig deeper with follow-up questions and trace every conclusion back to the supporting evidence.
You getA cited IC memo, exported as a document.
Built for large, messy data rooms
Real rooms run to hundreds of files across dozens of folders, and they keep changing until the week of the committee. Needl.ai syncs the room from its drive, catalogues it, and gives each section of the diligence its own analyst agent that searches the room through the context layer.
Synced from the drive
Connect the Google Drive or OneDrive folder the room lives in. A large room syncs in the background, in batches, and picks up where it left off. Each file can be used as soon as it has been read.
Models read cell by cell
A spreadsheet agent opens every tab of your Excel and Google Sheets models, reads the exact cell values and cites the sheet and range each figure came from.
An analyst for every section
The room is catalogued first. Each section of the report is then researched by its own analyst agent, which searches the room for its evidence, so a larger room never has to fit into one prompt.
Late files flagged
New and edited files sync in on their own. Needl.ai shows what has changed since your last analysis, and the previous version stays readable while you update it.
Every page, and the question it answers
The workspace is organised the way a deal team works: one page per question, with figures linked to their sources.
Data room
Upload or connect the room. Files are classified, parsed and indexed, and you can see what has been read before anything runs.
Company overview
The business, its ownership and its capital structure, summarised from the documents with sources.
Commercial analytics
Revenue composition, trends, concentration and margin, charted from the room and linked to the source each number came from.
Model validation
Projections checked against the underlying data. Mismatches are flagged with the figures side by side.
Red flags and deal breakers
Critical and high findings with the observed evidence, the condition, the analysis and a recommended action. Linked flags form a risk chain.
Legal and covenants
Contract review with the clauses that matter, and covenant health: leverage, coverage and headroom, with what-if scenarios.
Risk reports
Preliminary risk assessment and consolidated risk reports, ready to circulate before the full memo lands.
IC memo
The comprehensive due diligence memo, in your structure. Export it as a document or share a link with the deal team.
Ask and trace
Figures link to the passage behind them, with the quote highlighted. Follow-up questions are answered from the room, with citations you can open.
Real diligence, run on Needl.ai
30 minAround half an hour from a loaded data room to a first-pass assessment and a go / no-go checklist.
12xFaster diligence, with every conclusion traced back to the evidence.
1 weekA cycle that ran for three months, from the first document to the drafted IC memo.
“81 files became a connected view in minutes. A first-pass assessment landed in 24 minutes, and the platform caught a ~$20M revenue projection against a realistic ~$2M, plus $60-75K in external advisory and legal costs avoided.”
“Leverage, interest coverage, free cash flow, asset coverage, and covenant health surfaced in a single view, with what-if scenarios and a cited IC memo in under 30 minutes.”
In your environment, with your permissions
Needl.ai runs in your own AWS or Azure account, or fully on premise. Your keys, your permissions and your egress rules apply, and no document leaves your perimeter.
- Runs in your AWS or Azure account, or on premise
- Figures link to sources you can open
- Share the memo with a link, with access you control
AICPA SOC 2
ISO 27001 certified
ISO 42001 in progress
GDPR compliant
CASA assessed
Frequently asked questions
What deal teams ask before running live diligence on Needl.ai.
What is AI due diligence?
AI due diligence uses AI agents to read a deal's data room, check the model and the numbers against the source documents, flag the risks and draft the investment committee memo, so the deal team spends its time on judgment rather than reading. On Needl.ai, an analyst agent works through each section of the report, findings link to the passages behind them, and it can run inside your own cloud account. Our buyer's guide compares the main AI due diligence platforms.
How quickly can we get a first-pass diligence readout?
Most teams get a first-pass assessment around 30 minutes after loading the data room, including a go / no-go checklist and key risk flags.
Can we trust the financial validation in the first pass?
Needl.ai checks projections against the underlying model and source data, then highlights mismatches so analysts can verify assumptions before the IC discussion.
Does it produce an IC memo we can actually use?
Yes. It compiles a fully cited IC memo with thesis, risks, validation findings and recommendations in your preferred structure, and exports it as a document you can circulate.
Will analysts still be able to drill into the evidence?
Yes. Conclusions link back to the underlying document evidence, so follow-up questions can be answered quickly and transparently.
What does it read?
Full virtual data rooms (VDRs): CIMs, financial models and projections, contracts and credit agreements, partnership and legal agreements, investor materials and disclosures. Upload the files or connect the drive the room lives in.
Does it work for private credit?
Yes, including direct lending. Choose private credit as the deal type and the analysis adds a covenant analysis for the lender: it reads the credit agreement and sets out the covenant register, headroom on the financial covenants, the claim priority across the capital structure, and amendments and waivers. The IC memo carries the same points, with no lend or don't-lend verdict.
Where does it run?
In your own AWS or Azure account, or fully on premise. Your keys, your permissions and your egress rules apply, and no document leaves your perimeter.
How do reviewers check a finding?
A sourced figure or finding opens the passage it came from, with the quote highlighted, and the full document is one click away, so a reviewer checks the evidence instead of trusting the model.
See it run on your own data room
On your own data, in your environment. Bring a live deal or a closed one and watch the first pass, the model validation and the memo come back.