Keye
AI due diligence platform built by PE investors to turn deal files into structured, audit-ready outputs.
If your team clears a real volume of PE deals, Keye is the most credible diligence-specific AI we've reviewed — it runs actual calculations instead of producing summaries, and the audit trail that links every output to its source is the feature that makes it defensible in an investment committee. The workflow is designed by people who have sat in an associate seat, which shows in the cohort and margin-compression cuts. It is not for retail investors, for teams who only need a document summary, or for anyone whose work sits outside private equity diligence. Larger teams should weigh it against general-purpose LLM stacks that can be prompted into similar analysis, but those require you to
Verified 13m ago · liveness 60/100 · cite: rightaichoice.com/tools/keye
- Private equity analysts, associates and principals running diligence
- PE fund managers evaluating potential acquisitions
- Deal originators and screeners needing faster kill decisions
- Due diligence teams at mid-to-large cap PE firms ($5B+ AUM)
- Individual retail investors or hobbyists
- Teams that only need simple document summarization
- Organizations requiring free or low-cost AI tooling
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Skip Keye if your diligence need is a plain-language document summary rather than structured, calculation-backed analysis with an audit trail.
Keye's pricing fits teams whose volume aligns with the published tiers. Compare against the alternatives listed below for stage-specific value.
In short
Keye — AI due diligence platform built by PE investors to turn deal files into structured, audit-ready outputs. Best for Private equity analysts, associates and principals running diligence, PE fund managers evaluating potential acquisitions, Deal originators and screeners needing faster kill decisions. Contact Sales pricing.
What people actually say about Keye — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
56 mentions across 4 sources (Hacker News, YouTube, GitHub, Lemmy) · researched Sep 1, 2026.
Average across the 4 sources that answered — each source counts once, not each post.
- +Audit-grade transparency with source linking builds trust.
- +Excel-ready exports are praised for convenience and workflow fit.
- +Real-time calculation engine saves hours on financial metrics.
- +Cohort and margin analyses surface critical insights quickly.
- +Designed by PE investors—features align with deal workflows.
- −Steep learning curve—advanced features require significant time.
- −Limited third-party integrations restrict ecosystem use.
- −No free trial or freemium—hard to evaluate before purchase.
- −Pricing is opaque; only 'contact us', likely expensive.
- −Small firms may not see ROI given the cost.
- • Potential per-seat pricing not disclosed
- • Implementation fees for onboarding may apply
Viability Score
How well maintained and how widely used is Keye? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Automated data extraction from CIMs, financial statements and data rooms
- Real-time calculation engine for financial metrics
- Revenue cohort analysis and trend identification
- Margin compression and cost-driver detection
- Anomaly detection with outlier flagging
- Audit-grade transparency linking every output to its raw source
- Excel-ready exports of structured insights
- Complete audit trails for every calculation
- AI-powered deal screening to kill bad deals early
- Data cleaning and formatting automation
- Automated modeling support
- Web application (browser-based)
- SOC 2 Type II certified security
- End-to-end encryption for data in transit and at rest
- Zero data retention with no training on user files
About Keye
Keye is an AI due diligence platform built specifically for private equity investors. You upload raw deal files — CIMs, financial statements, data rooms — and Keye extracts the data, runs real calculations, and returns structured outputs like cohort trends, margin compression, and cost-driver analysis in minutes rather than days. The company positions it as a departure from generic AI document summarizers: instead of a narrative recap, you get data cuts, anomaly detection with outlier flagging, Excel-ready exports, and complete audit trails that link every output number back to its raw source. Keye reports roughly $1.4T+ in AUM across funds using the platform, claims 5+ days saved per deal, and says users generate over 1M analyses and insights per month. Security is enterprise-oriented: SOC 2 Type II certified, end-to-end encryption, zero data retention, and no training on your files. It is a web application aimed at PE analysts, associates, principals and deal teams rather than retail investors or general-purpose document work.
Behind the Verdict
Keye's core claim is that it is not another CIM summarizer. The homepage is explicit about it: "This isn't co-pilot theater. This is diligence done right." That distinction matters, because the failure mode of general-purpose AI in a deal room is confident prose built on misread numbers. Keye's answer is a calculation engine layered on top of extraction, with every output linked back to the raw source and exported to Excel with a complete audit trail. For a private equity associate who has to defend a number in an IC meeting, that traceability is the whole product. The capability set is built around the actual diligence loop. Data extraction from CIMs, financials and data rooms feeds a real-time calculation engine for financial metrics, which then supports revenue cohort analysis, margin compression and cost-driver detection, and anomaly detection with outlier flagging. Client quotes on the site come from funds at $5B, $10B, $15B, $25B and $45B+ AUM, and one VP reports analysts processing 40% more deals. The platform is web-based, with no pricing published on the pages we could reach and no public integration or developer documentation we could verify. Where Keye fits: mid-to-large PE funds with consistent deal flow who need speed on the first pass and auditability on the second. Where it doesn't: individual investors, teams whose need is plain-language document summarization, and buy-side or advisory workflows outside PE (the company itself scopes it to private equity rather than M&A advisory or venture capital). If your bottleneck is judgment rather than data processing, Keye will not solve it — it accelerates the mechanical work so your team spends its hours on the thesis. The honest caveat is that the platform's own 100% accuracy claim is a vendor claim; audit trails exist precisely so you can spot-check, and you should.
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Real-world workflow fit
Concrete scenarios for the personas Keye actually fits — and what changes day-one when you adopt it.
Twenty CIMs land in the inbox this week. You upload each one, pull the financial metrics and EBITDA cuts, and run anomaly detection before deciding which deals get a deeper look.
Outcome: Bad deals get killed in hours instead of weeks, and your team's senior time goes only to the deals that survive the first pass.
You point Keye at a data room of 500+ files, let it clean and structure the data, then run cohort and margin analysis and export the workbook with every cell linked to source.
Outcome: You walk into the investment committee with numbers you can defend line by line, because every output traces back to the raw document.
You need analysts processing more deals without adding headcount. Keye absorbs the data cuts, cleaning, anomaly detection and formatting that used to eat the week.
Outcome: The team handles roughly 2x the deal flow at the same headcount, and reported output per analyst rises materially.
Use Cases
- Extract key financial metrics from a CIM and calculate EBITDA in seconds.
- Automate data cleaning and anomaly detection across a data room of 500+ files.
- Generate structured cohort analysis from raw customer churn data.
- Screen 20+ deal opportunities in hours to kill bad deals early.
- Export audit-ready Excel workbooks with every cell linked to source documents.
- Surface margin compression and cost drivers before writing the investment memo.
Limitations
- Keye is purpose-built for private equity diligence, so teams outside that workflow will not get much value from it.
- The product is currently available as a web application; the pages we reached do not verify any public API, plugin or integration surface.
- The company's 100% accuracy guarantee is a vendor claim — given the complexity of financial data you should still verify outputs, which is exactly what the audit trail and source linking are there for.
- Generic competitors will summarize your documents for far less, but they will not run the calculations or produce the audit trail.
as of 2026-09-27
Verification history
We have re-verified Keye 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
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Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Keye's pricing actually pencils out — and where peers do it cheaper.
Keye's pricing fits teams whose volume aligns with the published tiers. Compare against the alternatives listed below for stage-specific value.
Setup time & first value
How long it actually takes to get something useful out of Keye — broken out by persona, not the marketing-page minute.
For a PE associate already comfortable with diligence workflows, upload-and-analyze is effectively same-day: point Keye at a CIM or data room and get structured output back in minutes. Firm-wide rollout (workflow mapping, security review, IC process alignment) will take longer, and Keye says its team works directly with funds to adapt the platform to firm-specific needs.
Switching to or from Keye
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual Excel diligence: upload the same CIMs and data room files you would normally work through by hand and let Keye produce the first-pass cuts and anomaly flags.
- →From generic LLM chat tools: replace prompt-driven summarization with structured extraction, calculation and source-linked outputs.
- →From internal spreadsheet models: use Keye's Excel-ready exports as the starting workbook rather than rebuilding every calculation from raw files.
- ↗To manual Excel diligence: export the Excel-ready workbooks and audit trails, which you can continue maintaining by hand if you leave the platform.
- ↗To generic LLM stacks: you would need to rebuild the extraction, calculation and source-linking logic yourself, since Keye's outputs are structured rather than conversational.
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Keye”, and we withheld 6: 6 could not be judged, because “Keye” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Keye.
Official links
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Featured Head-to-Head Comparisons
Keye vs Screenplayiq
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