DBI Infomatics supports sales, marketing, research and data teams with targeted lead generation, database building, enrichment, validation, company intelligence and vertical research — plus digital marketing and web development when the project needs a stronger growth layer.
Build prospect datasets around the companies, industries, geographies, job functions and decision-maker profiles that matter to the campaign — not a generic list.
Translate a target market or ICP into practical company and contact criteria.
Research role, function, seniority and organisational context for relevant contacts.
Structure fields around the handoff needed by sales, marketing or outreach operations.
Use company, industry and website signals to make the final audience more understandable.
Build structured company and contact databases from a clear specification — including custom fields, exclusions, formatting rules, source requirements and delivery logic.
Useful when standard provider exports do not contain the exact fields or segmentation required.
Research and structure thousands of records into consistent, reviewable datasets.
Build focused datasets by country, region, industry, niche or business model.
Maintain agreed column order, naming conventions, formatting and project-specific rules.
Add the business context that helps teams segment, route, personalize and work a database more effectively.
Complete business fields, website information, company details and project-defined attributes.
Prepare records for CRM workflows by adding or refreshing agreed account and contact fields.
Capture industry, market, offering, location or other contextual attributes when required.
Standardise naming, categories and values so downstream segmentation is cleaner.
Apply the rules that make a dataset consistent, usable and easier to audit before it reaches the next workflow.
Identify and remove repeated records using the project's matching logic.
Normalize company names, remove noise and map variants to agreed canonical names.
Check required columns, value formats, list structure, blanks and inconsistencies.
Review website availability, redirects, final-domain use and other project-defined status signals.
Research companies beyond a name-and-domain row — useful when the brief depends on what a business actually does, which markets it serves and how it positions itself.
Research offerings, sectors, locations, business models and other relevant company facts.
Extract partner or technology relationships from company websites and relevant on-site assets.
Map approved vendor/accreditation information to project-defined categories and levels.
Research acquisition or ownership signals, redirects, current/final domains and status as required.
Build a clearer map of the markets a company serves — from broad industries to sectors, niches and specific vertical-market signals.
Identify sectors and industries explicitly referenced by the company's own website content.
Find and assess industry, sector or market pages and structure the findings for delivery.
Check whether a candidate page is accessible, belongs to the company and represents the intended industry/markets content.
Turn broad market research into consistent categories that can be used for prospecting and analysis.
Support B2B growth with research-backed marketing work where the audience, data and digital execution need to connect.
Build pages and content around well-defined audiences, topics and search intent.
Align audience research and messaging inputs with campaign workflows and segmentation.
Use structured data to support outreach, landing pages, content and campaign execution.
Help connect cleaner audience inputs with the digital workflows built around them.
Build clear, modern web experiences for B2B companies that need the website to explain the offer, communicate trust and support conversion.
Structure services, industries, proof, case studies and CTAs into an easy-to-understand experience.
Create focused pages for specific audiences, services, campaigns or research-driven offers.
Use semantic structure, metadata, canonical URLs, social metadata and crawl-friendly architecture.
Use restrained motion, data visualisation and responsive interactions where they improve understanding.
DBI projects often combine several disciplines: research, classification, verification, normalization and structured output. These examples show the kind of brief that can be handled without turning the website into a catalogue of every possible task.
Research a company website to identify partner relationships and map approved vendors or accreditation levels into an agreed output structure.
Review company websites and classify genuine IT, printing or telecom businesses against a defined taxonomy with source-backed reasoning.
Identify the industries and verticals a company serves and verify candidate industry pages for accessibility and ownership.
Clean large datasets using project-defined master mappings, remove noise, standardize names and maintain consistent delivery formats.
Convert event or attendee sources into structured contact and company data, including role, business details and project-specific geography rules.
Improve existing account and contact records where data decay, missing fields or inconsistent values are affecting segmentation and execution.
The point is not simply to return rows. The work is structured so the client can understand what was researched, what rules were applied and what the final output is ready for.
Projects start from the audience, field list, exclusions, taxonomy or source requirement. That keeps the work tied to the actual downstream use case.
Some projects need more than one pass: website research, classification, partner extraction, URL verification, exclusions, canonical mapping or custom formatting. The workflow can combine those requirements rather than splitting them into disconnected outputs.
Yes. Output can be organized around agreed fields, naming conventions, exclusions and delivery rules.
Yes. A single brief can combine company research, enrichment, validation, classification and normalization where required.
Yes. Project instructions can define the approved source scope, including website-only research where that is required.
Yes. Refresh projects can be structured around the fields, cadence and quality checks agreed for the workflow.
Tell us what you need researched, enriched, validated or built. We'll shape the project around the final dataset or digital output your team needs to use.
