Exhaustive due diligence without the exhaustion...in five automated steps

GLOBAL NO CODE SEARCH TOOLS

Enter subject name, relevant location(s) and a few keywords.
Our no-code search tools execute language and alphabet permutations to build an EDD data set from web pages, compliance databases and business registry sources.

OUR AI READS AND DIGESTS THE SOURCES

Quicker than you can fit in that lunchtime workout, our AI will read the sources and digest into people, places, organisations, values, dates and other data class types.
Clients can also add custom internal data sources.

ENTITY RESOLUTION FILTERS OUT THE FALSE POSITIVES

Our proprietary entity resolution performs network link analysis and clusters the sources.
Only sources referring to the correct search subject are retained, ready to create a body of knowledge.

OUR AI BUILDS A BODY OF KNOWLEDGE

Prompt engineering trains LLMs to read the sources and answer questions in a series of structured snippets.
Statement extraction is coached by content rules, governed by style guides and statements are given confidence scores and cross checked by adversarial AI.

IN-DEPTH REPORT WITH FULL CITATIONS

Our generative AI fashions the Body of Knowledge into a customisable report that delivers analysis on your search subject.
DeepDive identifies reputational risk, source of wealth, legal threats, business relationships and known associations.

CHATBOT KNOWLEDGE INTERROGATION

Clients can get to the heart of the matter by asking the DeepDive chatbot what they really want to know.
The chatbot is governed by the same prompt engineering to deliver answers suitable to the EDD use case.

Engineered for MLROs and compliance teams

We designed DeepDive with a panel of MLROs and AML experts. Here's some of the questions that we get from Anti-Financial Crime teams and MLRO's...

How does DeepDive help regulated firms comply with AML regulations?

Regulators such as the Financial Conduct Authority require regulated entities to use open-source internet checks and commercially available databases when researching potential high-risk customers*.

DeepDive automates the collection and analysis of open source and commercial database Enhanced Due Diligence data, ensuring comprehensive coverage across multiple languages, jurisdictions, and data source types that would be impossible to achieve manually.

DeepDive employs an AI technique called prompt engineering to build structured intelligence reports that include full source citations with source confidence and quality scoring.

With DeepDive, compliance teams can reduce the risk of missing critical information that could result in regulatory penalties or reputational damage.

*See FG 18/5: Guidance on financial crime systems and controls

Schedule a demo with one of our product experts to see how DeepDive can strengthen AML compliance and reduce regulatory risk.

How does DeepDive enable more exhaustive but relevant EDD?

DeepDive searches thousands of sources across multiple search engines, languages, and alphabets—far beyond what manual research can achieve.

DeepDive analyses and cross references court documents, business filings, company reports, media articles, social media posts and compliance databases simultaneously, creating a comprehensive intelligence picture.

Our structured intelligence reports and chatbot interrogation delivers only relevant, high-confidence information, giving you exhaustive coverage without information overload.

Read our blog: "Five ways to extend the investigative horizon with DeepDive's search tools"

How can DeepDive speed up EDD and save me hours of compliance analyst effort?

DeepDive delivers investigations up to 10X faster than manual research by automating time-intensive tasks like search permutations, multi-language searching, source validation, and data synthesis.

Instead of analysts spending hours clicking through search results and manually cross-referencing information, DeepDive's AI processes hundreds of sources simultaneously and presents structured, ready-to-review reports.

This efficiency gain allows your team to complete more EDD reviews with the same resource, redirecting expensive human expertise into higher value activities like complex case analysis or client relationships.

Read our blog: "Why compliance teams are choosing DeepDive over manual EDD"

How does DeepDive show EDD evidence and an audit trail if the regulator asks how we have conducted EDD?

Our intelligence reports link every statement back to the sources that statement was based on. Clients can easily click through to the source, and review the source material before making compliance decisions.

Every statement in DeepDive reports maintain complete traceability to show entity and source selection rationale, and source confidence calculations.

This transparency enables clients to demonstrate to regulators exactly how EDD was conducted, and using what sources.

Schedule a demo to see how our intelligence reports are built.

Can AI cut through all the noise and help my analysts unearth the risk we're looking for?

DeepDive is designed to remove the swivel chair problem where compliance analysts have to move between multiple screens with their CRM, their compliance tools, and lots of open browser tabs.

DeepDive's AI has been coached to extract risk indicators across financial crime, high risk-relationships, legal issues, malpractice and compliance risk. Our semantic categorization organises content by risk type, while contextual analysis surfaces hidden connections between entities, transactions, and events.

Our outputs are designed so that analysts can get to the heart of the matter fast with easy to digest timeline, short report or long report options. After scanning the summary, risk alerts and timeline, most of our clients tend to interrogate the report and drill down into specific risk areas with our chatbot.

Put us to the test…schedule a demo and we’ll show you how DeepDive delivers intelligence that took your analyst hours to build.

How does DeepDive govern and control its AI?

DeepDive combines proven technology with carefully controlled AI applications, ensuring reliability while maintaining transparency in every decision. Here's how we ensure AI reliability:

Multi-model approach: We use different AI systems optimised for specific tasks, with thorough testing before deployment to maintain consistent performance
Controlled processing: Our development process follows strict controls that prevent AI speculation or unsupported conclusions
Quality assurance: Multiple AI systems provide independent verification, while confidence scoring gives complete transparency into how conclusions are reached
Audit capability: Every AI decision can be traced and verified, meeting regulatory requirements for explainable automated processes

Want to understand our AI safeguards in detail?

Book a meeting with our technical team to walk you through our AI governance framework.

Automated false positive discounting

Over two thirds of MLROs say their top challenge with compliance screening is reducing false positives. DeepDive will sift the body of knowledge to compare your customer to the compliance screening match and evidence the points of difference. ... Here’s an example where a new customer called David Cameron has triggered a PEP match. Instead of tasking a compliance analyst with ten minutes of manual research to adjudicate the match, DeepDive analyses and reveals the points of differentiation between the new customer and the PEP match in seconds.