AI-Powered Due Diligence and Prospect Intelligence

One Platform to Investigate, Understand and Monitor What Matters

Important intelligence is fragmented across corporate records, regulatory sources, media, filings, professional histories, websites, languages, and jurisdictions. Diligencify brings it together as structured, source-backed intelligence in minutes.

Understand the person or company behind the decision. Trace wealth. Surface risk. Discover relationships. Identify timely prospects. Keep important profiles current.

Platform / Intelligence system Ecosystem
Step 1
Investigate
AI-powered research across relevant public and licensed sources.
Agentic workflows
Step 2
Understand
Wealth, ownership, relationships, reputation and risk, connected.
Structured categories
Step 3
Discover
Search established profiles or find recently created wealth.
HNWI · New Wealth
Step 4
Monitor
Track saved subjects for material wealth and risk developments.
Wealth Signals
Step 5
Integrate
Profiles, data and alerts inside existing enterprise workflows.
API · white label

Diagram of the Diligencify intelligence system: investigate, understand, discover, monitor and integrate.

More Than Screening. More Than a Database. More Than a Prompt.

Screening tools can show whether a name matches a list. Databases can show what has already been collected. General-purpose AI can summarize the information it receives.

Diligencify is built for a deeper job. Purpose-built research workflows investigate the subject, resolve identity, connect fragmented findings, organize the evidence, and produce an intelligence view designed for professional decisions.

The platform combines on-demand due diligence, persistent HNWI and UHNWI intelligence, event-driven signals, and ongoing monitoring. Teams can begin with what is already known, investigate deeper when needed, and continue learning as the picture changes.

One Intelligence System, Five Ways to Know More

Investigate

Build structured profiles on people and companies using AI-powered research across relevant public and licensed sources. Material findings remain connected to supporting evidence.

Explore AI-Powered Due Diligence →

Understand

Connect Source of Wealth, assets, business interests, relationships, litigation, reputation, philanthropy, and recent developments. See the context around the facts instead of reviewing each data point in isolation.

Explore Source of Wealth Intelligence →

Discover

Search a growing HNWI and UHNWI intelligence foundation or identify individuals whose wealth has recently changed through a business sale, IPO, founder secondary, asset sale, or another meaningful liquidity event.

Explore HNWI and UHNWI Database →

Monitor

Track saved subjects and material developments across wealth, business activity, litigation, regulatory matters, adverse media, and reputation. Wealth Signals helps teams notice events that may create opportunity or require renewed diligence.

Explore Continuous Intelligence →

Integrate

Bring profiles, structured data, alerts, and research outputs into existing workflows through enterprise APIs, bulk research, configurable reporting, and white-label options.

Explore API and Integrations →

From a Name to Decision-Ready Intelligence

Step 1

Start with context

Enter a person, organization, or the identifying details already known.

Step 2

Investigate in parallel

Specialized AI workflows research relevant dimensions across sources, languages, and geographies.

Step 3

Resolve and connect

Entity resolution helps distinguish the correct subject. Findings are connected across wealth, ownership, networks, reputation, and risk.

Step 4

Review the evidence

Material intelligence is linked to sources wherever available. Human oversight can be included when sensitivity, complexity, or judgment requires it.

Step 5

Use and monitor

Review the intelligence in the platform, export a structured dossier, connect it to an existing workflow, or monitor the subject for meaningful change.

Built for Research That Requires Trust

Source-backed by design

Significant findings remain connected to supporting sources so analysts can review the basis of the intelligence.

Structured for consistency

Defined research categories create a repeatable dossier structure across subjects and teams.

Global and multilingual

Research can extend across languages and jurisdictions, bringing geographically fragmented intelligence into one consistent view.

Human oversight where it matters

AI accelerates discovery and synthesis. Professionals remain responsible for interpretation, judgment, and final decisions.

Designed for continuity

A completed dossier does not have to become a stale file. Saved profiles can be monitored as material wealth and risk developments emerge.

Built Around High-Stakes Decisions

Diligencify supports enhanced due diligence, customer due diligence, KYC research, Source of Wealth analysis, reputational assessment, HNWI prospecting, donor intelligence, relationship mapping, and ongoing monitoring.

It is used by teams across wealth management and private banking, nonprofits and universities, casinos and gaming, luxury, law firms, and professional services.

FAQ

Frequently asked questions

How quickly can Diligencify produce a profile?+

A typical Diligencify report can be generated in approximately 10 to 12 minutes. Timing varies with the scope, source availability, subject complexity, and whether additional human review is required.

How is Diligencify different from general-purpose AI?+

General-purpose AI tools are designed for broad tasks. Diligencify is purpose-built around due diligence and prospect intelligence, with specialized research workflows, entity resolution, defined dossier structures, source traceability, monitoring, and optional human review.

Can teams review the sources?+

Yes. Diligencify is designed around source-backed research so reviewers can inspect the evidence behind material findings.

Does Diligencify replace screening or identity verification?+

No. Diligencify complements screening, identity verification, and other controls by adding deeper public-source research and contextual intelligence.