A self-service, AI-powered enhanced due diligence report — generated instantly, with every source cited and a full audit trail from first search to final output. No queues. No black box.
Aldridge Kessler
Subject · DOB 1971 · GBR
Three reasons compliance and investment teams move their first-pass diligence to Neotas – and what they get for it.
Submit a subject and get a structured, RAG-rated report back instantly. No queues, no scheduling, no waiting on a third party to come back to you.
Each finding is cited back to its source and every step is logged. You hand a regulator the evidence trail — not a score you can’t explain.
OSINT-native search across the deep web, social, and 30+ languages surfaces behavioural risk and hidden links that database-only checks miss entirely.
Jurisdictions
covered
Native language
searches
Archived web pages searched
One input becomes a single, comprehensive report — thousands of sources rolled into a clear RAG verdict. Your team reviews conclusions, not noise, and opens any finding to see the evidence behind it.
An at-a-glance Red / Amber / Green verdict with cleared, review, and escalate counts across every risk category.
Findings classified against global watchlists and PEP lists, plus adverse media in 30+ native languages — structured, not a raw hit list.
Entity mapping, directorships, and beneficial-ownership chains traced across 200+ jurisdictions.
Digital footprint, undisclosed aliases, and online conduct surfaced from the deep web and social platforms.
Every line links to its source, and a tamper-proof log captures each search and step – editable, then exported as a regulator-ready PDF.
EDD Report — A. Kessler
Ref NTS-48217 · Generated 00:00:09
Sanctions & watchlists
No matches across 200+ jurisdictions
Politically exposed associations
2 indirect connections flagged for review
Adverse media
Litigation reference, 2019 — escalated
Corporate & UBO structure
11 entities mapped · ownership chain clean
Behavioural & social signals
Undisclosed alias detected · under review
Tamper-proof audit trail · every source cited · editable before export
The Neotas engine triangulates, searches, and classifies automatically, converting subject details into a RAG-rated, fully-cited EDD report without a human in the loop.
Step 01
Submit a name or entity with any seed data. No formatting, no templates — the engine takes it from there.
Step 02
AI confirms the correct subject, clears false positives, and removes duplicates before any search runs.
Step 03
Sanctions, PEP, adverse media, registries, and the deep web — searched in parallel, not in a queue.
Step 04
Findings are RAG-rated and cited into one editable report with a tamper-proof audit trail, ready to export.
Automated EDD doesn’t replace enhanced due diligence – it sits between a basic check and human-led investigation. Match the depth of research to the risk, and escalate the same subject further without switching provider.
Basic Check
Sanctions, PEP & watchlist screening for low-risk, high-volume onboarding.
Automated EDD
OSINT-wide, RAG-rated, fully-cited report in seconds — for risk that needs more than a check, but not yet an analyst.
Level 1
Human-led rapid review verifying the key risk areas on a subject.
Level 2
Expanded analyst investigation with source and network mapping.
Level 3
Our deepest human-led diligence — full network, field & source intelligence.
Clients start basic, move to automated, and escalate the same subject to human-led diligence only
when the risk warrants it — all within Neotas.
Neotas covers everything
11 of 11 features — including 6 others can't match
Source coverage
Automated AI EDD reports
Sanctions, PEP & adverse media
Report editability
Model-agnostic AI
Social media & deep web
Behavioural & social risk signals
Inline citations & audit trail
Corporate & UBO mapping
Investigative EDD escalation
Continuous monitoring & live alerts
Others miss 6 of 11 features
Partial on 5, absent on 6 critical capabilities
Source coverage
Automated AI EDD reports
Sanctions, PEP & adverse media
Report editability
Model-agnostic AI
Social media & deep web
Behavioural & social risk signals
Inline citations & audit trail
Corporate & UBO mapping
Investigative EDD escalation
Continuous monitoring & live alerts
Tap a tab above to switch view
Neotas’ AI-driven EDD goes beyond the standard — built to fit how you define risk, not the other way around.
Automated EDD doesn’t replace enhanced due diligence – it sits between a basic check and human-led investigation. Match the depth of research to the risk, and escalate the same subject further without switching provider.
Neotas searches go deeper than traditional due diligence checks by 'spidering out' across the entire internet, and their proprietary AI technology helps them analyse vast quantities of data at speed.
Coller Capital
Private Equity
A Market Disruptor and winner of the 'Emerging Use Case: Know Your Third Party' and 'Supply Chain Excellence' awards — reflecting the company's investment in a solution that combines AI, machine learning, GenAI and a low/no-code interface across multiple compliance use cases.
Chartis
Sean O'Malley, Research Director
We were impressed by their clear, thorough, and efficient approach. The insights provided were well-structured and easy to interpret, which played a valuable role in supporting our investment decision-making process.
IK Partners
Private Equity
Neotas present investigative findings in an easily digestible format. They are responsive to our business requirements and flexible in the way they approach our engagements — key reasons why we continue to expand our relationship.
Channel Capital Advisors
Financing & Investment
Your automated EDD report, delivered in seconds. Neotas delivers the right depth at every level of risk. Every report is audit-ready, regulator-trusted, and formatted for submission.
Reimagine Enhanced Due Diligence with Confidence
Practical guides, checklists, and frameworks built by Neotas risk analysts. Use them to run your own enhanced due diligence process or hand the investigation to our team for a full intelligence-grade report.
The difference between a surface-level check and a Neotas report is the difference between assumed safety and evidenced confidence — delivered in seconds.
Discover how Neotas simplifies enhanced due diligence at scale.
The Neotas automated platform generates a RAG-classified EDD report in seconds from subject input — with PEP and sanctions screening, adverse media, UBO analysis, and a full audit trail. Reports are editable and PDF-exportable, and the platform supports your own AI model, so you’re not locked to a single provider.
Automated EDD reports are generated in seconds from subject input — a name, jurisdiction, and known identifiers produce a structured, RAG-classified report with full source citations and a complete audit trail.
Yes, provided the EDD process meets each framework’s evidentiary standards. Every report includes a tamper-proof audit trail, inline source citations, and a documented risk-classification rationale, formatted for regulatory examination without reformatting. All operations are ISO 27001 and ISO 27701 certified.
Subject confirmation with false-positive removal; PEP screening against global databases; sanctions screening against OFAC SDN, UN, EU and HMT lists; adverse media across 200+ jurisdictions in 30+ languages; corporate records and UBO analysis; a RAG risk classification with documented rationale; and a tamper-proof audit trail. Reports are editable and PDF-exportable before submission.
Continuous monitoring tracks a subject’s risk profile after the initial report and alerts your team when material changes occur — new sanctions matches, adverse media, or changes in ownership. Neotas offers configurable alert frequency by risk tier, a portfolio dashboard, and API integration into your CRM or GRC system.
Standard providers run structured database checks across roughly 4–6% of the open internet. Neotas searches 600bn+ archived web pages, 1.8bn+ court records, 198M+ corporate records, and 40,000+ media sources, plus social, deep, and dark web. AI triangulation removes false positives automatically before the report generates, and reports are formatted for regulatory submission across 30+ languages.
| Cookie | Duration | Description |
|---|---|---|
| AWSALBTG | 7 days | AWS Application Load Balancer Cookie. Load Balancing Cookie: Used to encode information about the selected target group. |
| AWSALBTGCORS | 7 days | AWS Classic Load Balancer Cookie: Used to map the session to the instance. This cookie is identical to the original ELB cookie except for the attribute &SameSite=None; |
| cookielawinfo-checkbox-advertisement | 1 year | Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Advertisement" category . |
| cookielawinfo-checkbox-analytics | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics". |
| cookielawinfo-checkbox-functional | 11 months | The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". |
| cookielawinfo-checkbox-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
| cookielawinfo-checkbox-others | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. |
| cookielawinfo-checkbox-performance | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance". |
| CookieLawInfoConsent | 1 year | Records the default button state of the corresponding category & the status of CCPA. It works only in coordination with the primary cookie. |
| debug | never | Cookie used to debug code and website issues |
| shown | session | Session cookie to control number of times a pop up is shown. |
| viewed_cookie_policy | 11 months | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |
| Cookie | Duration | Description |
|---|---|---|
| __cf_bm | 30 minutes | This cookie, set by Cloudflare, is used to support Cloudflare Bot Management. |
| AnalyticsSyncHistory | 1 month | Used to store information about the time a sync took place with the lms_analytics cookie |
| bcookie | 2 years | LinkedIn sets this cookie from LinkedIn share buttons and ad tags to recognize browser ID. |
| bscookie | 2 years | LinkedIn sets this cookie to store performed actions on the website. |
| lang | session | LinkedIn sets this cookie to remember a user's language setting. |
| lidc | 1 day | LinkedIn sets the lidc cookie to facilitate data center selection. |
| UserMatchHistory | 1 month | LinkedIn sets this cookie for LinkedIn Ads ID syncing. |
| Cookie | Duration | Description |
|---|---|---|
| li_gc | 2 years | Used to store consent of guests regarding the use of cookies for non-essential purposes |
| rl_anonymous_id | 1 year | Generates an unique anonymous Id to identify a user and attach to a subsequent event. |
| rl_user_id | 1 year | to store a unique user ID for the purpose of Marketing/Tracking |
| Cookie | Duration | Description |
|---|---|---|
| _ga | 2 years | The _ga cookie, installed by Google Analytics, calculates visitor, session and campaign data and also keeps track of site usage for the site's analytics report. The cookie stores information anonymously and assigns a randomly generated number to recognize unique visitors. |
| _gat_gtag_UA_107495977_1 | 1 minute | Set by Google to distinguish users. |
| _gat_UA-107495977-1 | 1 minute | A variation of the _gat cookie set by Google Analytics and Google Tag Manager to allow website owners to track visitor behaviour and measure site performance. The pattern element in the name contains the unique identity number of the account or website it relates to. |
| _gcl_au | 3 months | Provided by Google Tag Manager to experiment advertisement efficiency of websites using their services. |
| _gid | 1 day | Installed by Google Analytics, _gid cookie stores information on how visitors use a website, while also creating an analytics report of the website's performance. Some of the data that are collected include the number of visitors, their source, and the pages they visit anonymously. |
| attribution_user_id | 1 year | This cookie is set by Typeform for usage statistics and is used in context with the website's pop-up questionnaires and messengering. |
| CONSENT | 2 years | YouTube sets this cookie via embedded youtube-videos and registers anonymous statistical data. |
| Cookie | Duration | Description |
|---|---|---|
| _fbp | 3 months | This cookie is set by Facebook to display advertisements when either on Facebook or on a digital platform powered by Facebook advertising, after visiting the website. |
| fr | 3 months | Facebook sets this cookie to show relevant advertisements to users by tracking user behaviour across the web, on sites that have Facebook pixel or Facebook social plugin. |
| IDE | 1 year 24 days | Google DoubleClick IDE cookies are used to store information about how the user uses the website to present them with relevant ads and according to the user profile. |
| test_cookie | 15 minutes | The test_cookie is set by doubleclick.net and is used to determine if the user's browser supports cookies. |
| VISITOR_INFO1_LIVE | 5 months 27 days | A cookie set by YouTube to measure bandwidth that determines whether the user gets the new or old player interface. |
| YSC | session | YSC cookie is set by Youtube and is used to track the views of embedded videos on Youtube pages. |
| yt-remote-connected-devices | never | YouTube sets this cookie to store the video preferences of the user using embedded YouTube video. |
| yt-remote-device-id | never | YouTube sets this cookie to store the video preferences of the user using embedded YouTube video. |
| yt.innertube::nextId | never | This cookie, set by YouTube, registers a unique ID to store data on what videos from YouTube the user has seen. |
| yt.innertube::requests | never | This cookie, set by YouTube, registers a unique ID to store data on what videos from YouTube the user has seen. |