Chordian Search

The outward-facing research layer. Chordian Search reaches outward. It helps teams find, investigate, verify, structure, and reuse information that exists beyond the organization.

This overview explains the role of Chordian Search, its research solutions, the workflows they enable, and practical examples for research, intelligence, lead development, due diligence, clinical analysis, financial analysis, and connected knowledge work.

Quickstart

Chordian Search is the outward-facing research layer of ChordianAI. It searches across the open web and external data sources to research topics, discover companies and people, build structured lists, investigate websites, and produce web-grounded answers.

Rather than simply returning links, Chordian Search can investigate a research objective across multiple sources, navigate websites, collect information, compare findings, and return a structured result. It combines LLMs, autonomous agents, live data providers, web search, and a live cloud browser to move beyond traditional keyword search.

Inside and outside the organization

Get started with a real research objective

The quickest way to understand ChordianAI is to start with a real research objective. It is designed for tasks where traditional search is not enough: manually searching Google, opening dozens of websites, navigating pages, filling in forms, applying filters, collecting information, comparing results, and checking whether the information is accurate.

The more specific the objective, the easier it is to produce a useful result. You provide the goal; ChordianAI handles the research process.

Example enrichment questions

• Analyse the latest posts on Reddit, Discord, and GitHub for each company.
• Find current or latest job openings.
• Analyse each website and identify its security setup.
• Analyse the latest comments on Trustpilot for every company.

Common enrichment fields

This connected approach allows external research to be interpreted alongside internal information in a controlled way. Information that should remain available can be connected to Memory & Relationship Mapping, making important sources, facts, and relationships available for future searches and workflows.

External research → Verify sources → Connect context → Save useful knowledge → Reuse in workflows

How the capabilities work together

Chordian Search combines several capabilities. They are designed to work together rather than operate as isolated tools.

Research objective → AGV search → Web research → List building → Enrichment → Verification → Structured result

1. AGV Verified Agentic Search

AGV Verified Agentic Search handles autonomous, multi-step research. It can investigate a complex question, search multiple sources, follow relevant leads, evaluate evidence, and return verified results.

From search to agentic research

Traditional search typically looks like: search, open links, read, search again, collect information, compare, verify, and write the result. AGV turns the same objective into an agentic workflow:

Goal → Understand → Plan → Search → Browse → Extract → Verify → Structure → Return

How AGV approaches an agentic task

AI browser agents are part of AGV

AI browser agents are an execution capability within AGV Verified Agentic Search, not a separate search solution. They allow the research workflow to inspect a website, decide which actions to take, execute those actions, and adjust when the page or workflow changes.

Agentic browser capabilities inside AGV

• Search and extract information across multiple websites.
• Navigate JavaScript-heavy pages, filters, and pagination.
• Complete forms and multistep browser workflows.
• Maintain login state across recurring tasks where supported.
• Run concurrent workflows in production.
• Debug failures and validate the final result.
• Integrate with existing models, frameworks, and applications.
• Continue, retry, or change strategy when the workflow requires it.
• Return a completed, structured result.

AGV can receive a target URL and a natural-language goal, then navigate, click, fill forms, log in where supported, and return a structured result.

Use cases for AGV Verified Agentic Search

Healthcare research & clinical intelligence

In healthcare, AGV can bridge complex medical literature, clinical trial registries, conference materials, regulatory updates, and financial market data to accelerate drug and device tracking.

AGV cross-references medical registries such as ClinicalTrials.gov, recent medical conference abstracts such as ADA or EASD, and pharmaceutical press releases, then synthesizes the findings into a structured overview with source evidence.

Financial research: filing analysis

AGV extracts key metrics such as revenue growth, operating margins, and free cash flow; compares them against consensus analyst expectations; and highlights risks flagged by management during the earnings call.

Financial research: cross-company comparison

AGV generates a side-by-side comparison table featuring valuation multiples such as P/E ratios, dividend yields, debt-to-equity ratios, and three-year revenue growth rates, with supporting sources and clear comparison notes.

KYB and enhanced business due diligence

AGV can support business verification, corporate onboarding, Ultimate Beneficial Owner (UBO) research, individual research, AML checks, and risk review in one connected workflow. Higher-risk cases may require enhanced due diligence and formal human review.

Company → Business verification → Corporate information → UBO identification → Individual research → AML & risk checks → Verification → KYB profile → Review

Example objective: verify this company, confirm its corporate information, identify its UBOs, investigate the individuals behind the business, check relevant risk information, and return a structured KYB report with supporting sources.

Complete company research workflow

A single AGV research objective can combine discovery, list building, verification, investigation, enrichment, and structuring.

2. Company List Builder & Verified Company Search

Not every research task ends with a written answer. Often the goal is to discover a set of companies or people and turn them into structured, reusable data. Company List Builder and Verified Company Search transform natural-language criteria into structured lists that can be verified, researched, filtered, enriched, saved, and reused.

What you can build: Companies · People · Organizations · Products · Locations · Other defined entities.

Criteria you can define: Industry · Geography · Company size · Founding year · Funding · Business model · Technology · Revenue · Leadership · Other custom attributes.

Typical workflow: Define criteria → Discover entities → Build list → Verify → Enrich → Filter / analyze → Save / export → Reuse

Results can be filtered, compared, analyzed, saved in Memory & Relationship Mapping, pushed into connected applications and CRM systems, exported, or used in another workflow.

3. Proprietary Dynamic Entity Enrichment (DEE Waterfall)

Proprietary Dynamic Entity Enrichment (DEE Waterfall) combines multi-source company and people lookup with automated waterfall enrichment. It sequentially queries specialized databases and directories to map organizational structures and leadership hierarchies, verify management, and reduce data gaps.

The waterfall tries sources in order: Source 1 → Source 2 → Source 3 → Source 4. If the required information is found in the first source, the process can stop. If information is missing, the next source is used — creating a more complete dataset without requiring every source to contain every field.

Example: employee-count enrichment

4. PS Proxy Search

Some websites restrict automated traffic based on IP address, geographic location, request patterns, browser characteristics, or other access controls. PS Proxy Search provides a separate proxy layer for web access and can route requests through managed residential proxy infrastructure where appropriate.

PS Proxy Search is an independent access and routing solution that can work together with AGV when a research task requires deeper website access or geographic context.

Choose the research location

When research depends on regional availability, local pricing, country-specific content, or how a website responds to visitors from a particular market, you can choose the IP location and country domain. ChordianAI offers country routing across more than 195 countries, allowing research from the selected regional perspective.

Choose country → Select IP location → Use country domain → Conduct research → Compare regional results

Proxy-supported research examples

• Research market-specific products, pricing, promotions, or availability.
• Investigate country-specific websites, search results, and local landing pages.
• Compare onboarding flows or user journeys across regions.
• Research jobs, announcements, and public information that differs by market.
• Access websites where direct automated traffic is restricted or behaves differently depending on location.

What ChordianAI can research

• Search and extract information across multiple websites.
• Navigate dynamic websites, filters, and pagination.
• Research companies and people.
• Compare information across sources and regions.
• Investigate company websites, products, prices, jobs, announcements, and market developments.
• Work with websites where a suitable API is not available.
• Run multi-step research workflows and return structured intelligence.
• Verify information before returning the result.

Use cases

Each use case shows how multiple capabilities work together on real-world research, intelligence, and knowledge workflows.

The outward and inward knowledge loop

Together, Chordian Search and Memory & Relationship Mapping let ChordianAI work across both sides of the information boundary: research the outside world, understand internal context, and create a verified knowledge loop that becomes more useful over time.

The key idea

ChordianAI is not limited to answering "What does this webpage say?" It can work toward a broader objective: what do I need to find out, where can I find it, how should I investigate it, and can I verify the result?

That is what makes Chordian Search agent-powered research rather than conventional web search — the outward-facing layer that helps organizations research the world, verify and structure information, and connect useful findings back to the knowledge they already own.