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Data Platform

Data Platform

At MediumAxis, we build structured, reliable datasets designed for professionals, marketers, and organizations who rely on accurate business intelligence.

This page explains how our data is collected, verified, and maintained — and the technology that powers it.

MediumAxis By The Numbers

Access the world's most actionable business intelligence—unlimited querying, globally sourced, and continuously validated. MediumAxis delivers the depth, accuracy, and scale enterprise teams need to make confident decisions.

Scale

1B+
Professional Contacts
90M+
Business Entities
180+
Countries Covered

Depth

15–400
Data Points Per Entity
Multi-Source Cross-Matched
Accuracy Validation
800M+
Enrichment Attributes

Performance

8B+
Records Processed on Request
2M+
Daily Validation Checks
10+ Years
Managing Global Data
Unlimited querying No API limits or per-seat fees All data maintained locally
Data as of Mar 2026

A subsidiary of The Omega Project

Global Data Foundation

Our datasets are compiled from a wide range of reputable public, licensed, and commercial sources, ensuring maximum coverage and accuracy across global industries.

🔐 Compliance Note: All MediumAxis data is sourced, processed, and delivered in accordance with applicable data protection laws (GDPR, CCPA/CPRA, PIPEDA).

View our Trust Center for compliance summaries, or download our DPA for enterprise procurement.

MediumAxis maintains one of the largest private collections of business and consumer intelligence globally. All maintained locally. All queryable without API limits or per-seat fees.

Global Business Intelligence

Bureau van Dijk Orbis Derived Dataset

439 million records

The foundation of corporate intelligence: global company profiles, ownership structures, subsidiary networks, shareholder analysis, M&A history, and decision-maker identification. Interlinked with MediumAxis derived datasets: business owners and operators, controlling shareholders, patent portfolios, expansion projects, and corporate group hierarchies.

Dun & Bradstreet DUNS Derived Dataset

99 million records

Universal business identifiers, credit risk indicators, firmographic depth, and global supply chain intelligence.

LinkedIn Dataset

420+ million professionals

Career history, professional networks, skills, endorsements, and organizational mapping across 108 countries.

Apollo.io Data

150+ million records
85% coverage

Technographic intelligence, contact verification, intent signals, and professional contact data.

Adapt.io Data

250+ million B2B contacts

Relationship mapping, organizational charts, and professional network pathways with extensive global coverage.

Crunchbase Data

10 million records

Startup and private company funding, investor relationships, founder profiles, and growth signals.

Global Investment Research Customers Data

10 million records

Public company financials, institutional ownership, analyst coverage, and earnings intelligence.

NetProspex Derived Data

45 million records

B2B contact enrichment and professional verification.


Processed under Legitimate Interest (GDPR Art. 6(1)(f)) for B2B intelligence purposes.
Learn about our sourcing methodology →

Business-profile data only; no private personal messages or non-public content.
Compliant with platform terms and applicable privacy laws.
See compliance framework →

Americas Business & Consumer Intelligence

United States: Population & Consumer Depth

USA 250 Million Population Behavioral Dataset

250+ columns

Comprehensive household intelligence including geographic, demographic, property, and behavioral metrics.

Acxiom / LiveRamp Processed / Derived Dataset

240 million records, 270+ columns

Demographic, financial, property, lifestyle, and behavioral depth.

Whole National Insurance Database

241 million records
119M unique households

Comprehensive US consumer intelligence covering the entire population with detailed household demographics, property ownership, lifestyle indicators, and behavioral risk profiles. Essential for insurance underwriting, financial services marketing, and consumer segmentation with high-precision household-level targeting.

US Voter Registration

Full national coverage

Political affiliation, civic engagement, demographic validation by state.

US Loan / Mortgage Dataset

14 million records

Property values, lender relationships, refinancing behavior, credit indicators.

Social Security Death Master File

105 million records

Deceased identification, data hygiene, generational analysis.

US Legal Intelligence

12 million records

Court records, litigation history, personal legal profiles.

US Car Owners

Full national dataset. 

Vehicle type, value, financing, behavioral indicators.

US Physicians Database

800,000 physicians
Unique comprehensive coverage

Specialty, hospital affiliation, practice details, prescribing patterns.

Lifestyle & Affinity Databases
Gun owners registry
Meal delivery users
MGM Resorts customers
Premium fragrance buyers
Luxury auction bidders
Senior citizens database
Audi owners
Nursing databases
US Business Directories

International Business & Consumer Intelligence

Europe

80+ million records

  • UK Corporate: 10 million businesses and owners, corporate structures, beneficial ownership, import/export history
  • European Frequent Flyers: Behavioral dataset for travel and affluence targeting
  • Germany, France, Netherlands, Nordics: Business directories, professional data, Xing integration

Asia-Pacific

60+ million records

  • Japan: 840,000 business records with 80+ data points
  • Indonesia, Vietnam, Philippines: Behavioral datasets
  • Thailand: 18 million customer profiles
  • Singapore, Hong Kong, Australia, New Zealand: Business intelligence, luxury collectors

Middle East & Africa

25+ million records

  • UAE, Saudi Arabia: Business directories, professional networks
  • Kenya, Nigeria: Adtech user profiles, mobile-first intelligence
  • South Africa: Business and consumer datasets
  • Egypt, Pakistan: Middle-class behavioral datasets

Latin America & Other Markets

  • Brazil: Business firmographics and behavioral datasets
  • Israel: 5 million citizenship records
  • Turkey: Citizens database with comprehensive details
  • China: Businesses operating in USA and Europe

Specialized & Niche Databases

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Healthcare Global

US physicians, nursing databases (USA and Europe), medical executives and specialty professionals

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Legal & Regulatory

US legal intelligence, global regulatory and compliance intelligence

✓

Death & Data Hygiene

Social Security Death Master File for deceased identification and list cleaning

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Social & Digital

Facebook (506 million records, 108 countries): Profile details and behavioral signals

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Industry-Specific

Global Oil & Gas professionals, Financial Intelligence Buyers

Derived & Interlinked Intelligence

MediumAxis unique capability: cross-source matching and derived datasets compiled from various sources:

Shareholder analysis and beneficial ownership mapping
Corporate expansion projects and capital deployment
Business owners vs. operators distinction
Patent portfolio intelligence
Decision-maker identification beyond titles
Corporate group structures and control relationships

Data Capabilities

Cross-Source Matching

1 billion+ professional records matched across LinkedIn, Apollo, Adapt, BvD, D&B, and regional sources for validation and enrichment.

Geographic Coverage

100+ countries with depth varying by market—comprehensive US and Europe, growing Asia-Pacific, emerging Africa and Latin America.

Update Frequency

Continuous refresh of major sources, quarterly validation of derived intelligence, real-time matching where technically feasible.

Delivery Format

Raw data exports, API-compatible files, CRM-integrated enrichment, or fully executed campaigns via MediumAxis infrastructure.

Our Data Sources & Verification Standards

At MediumAxis, we believe that high-quality B2B intelligence must be built on a foundation of transparency, compliance, and respect for data subjects. Every record in our database is sourced through documented, auditable processes that adhere to GDPR, CCPA, and other applicable global privacy regulations. Below is a complete breakdown of how we collect, verify, and maintain our data—and what we explicitly do not do.

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Publicly Available Sources

We aggregate business-related information that is lawfully published and accessible to the general public without authentication, paywalls, or circumvention of technical barriers. Our proprietary collection systems parse and normalize data from the following concrete source categories:

▸ Corporate & Official Business Records

  • Government business registries: Companies House (UK), SEC EDGAR (US), SIRENE (France), Handelsregister (DACH), KVK (Netherlands), ASIC (Australia), and equivalent national incorporation databases
  • Charity & nonprofit registries: Charity Commission for England & Wales, Office of Scottish Charity Register (OSCR), Irish Charities Regulator (licensed under Open Government Licence v3.0 / CC-BY 4.0)
  • Public procurement & tender portals: Official government contract notices, vendor registration databases, and public spending records
  • Regulatory filings: Annual reports, 10-K/10-Q submissions, prospectuses, and mandatory corporate disclosures

▸ Company-Controlled Digital Properties

  • Corporate websites: About pages, leadership/team directories, press rooms, investor relations sections, and career/job postings
  • Official press releases & newsrooms: Company-published announcements distributed via PR Newswire, Business Wire, GlobeNewswire, or hosted directly on corporate domains
  • Product documentation & technical blogs: Publicly accessible knowledge bases, API documentation, and engineering updates that reveal technology stack or organizational structure

▸ Media, News & Industry Publications

  • Business news outlets: Reuters, Bloomberg, Financial Times, TechCrunch, VentureBeat, and regional business journals covering funding, M&A, executive appointments, and market expansion
  • Trade publications & association directories: Industry-specific media, conference speaker lists, award announcements, and membership rosters published by professional bodies
  • Public earnings calls & transcripts: Verified recordings and written summaries of quarterly financial briefings

▸ Professional & Technical Signals (Public-Facing Only)

  • Public professional profiles: Business-focused profile sections on platforms where users have elected to make professional information publicly visible (e.g., public LinkedIn profile URLs, company directory pages)
  • Job boards & career platforms: Publicly posted openings on Indeed, Glassdoor, LinkedIn Jobs, and company career sites that signal hiring trends, team growth, or technology adoption
  • Technographic indicators: Publicly detectable website technologies (via DNS records, HTTP headers, JavaScript libraries), app store listings, and open-source repository activity

▸ Open Data & Aggregated Public Resources

  • Open-data initiatives: OpenCorporates, Crunchbase (public tier), and similar platforms that aggregate registry information under permissive licenses
  • Geospatial & postal reference data: Office for National Statistics postcode lookups, Royal Mail address databases (licensed under Open Government Licence)
  • Academic & research repositories: Publicly shared datasets from universities, think tanks, or government research bodies covering industry trends or economic indicators

Transparency Note: All public-source collection is performed via automated parsing of openly accessible HTML, RSS feeds, APIs with public endpoints, or licensed open-data feeds. We do not bypass login walls, scrape content behind authentication, or harvest data from private user profiles.

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Licensed Third‑Party Sources

To enhance coverage, fill geographic gaps, or add specialized signals, we supplement public-source collection with data obtained under formal agreements from vetted partners. These relationships are structured to ensure full compliance with data protection law:

▸ Generic Categories of Licensed Partners

  • Validated B2B data aggregators: Specialized providers of firmographic, technographic, or intent data who warrant lawful acquisition and provide documentation of consent or legitimate interest basis
  • Intent & behavioral signal networks: Partners who aggregate anonymized B2B research activity across publisher networks under explicit user consent frameworks (e.g., Bombora-style co-op models)
  • Global compliance & suppression services: Providers of Do Not Call (DNC), Telephone Preference Service (TPS), and regional opt-out registry feeds used to suppress contacts who have exercised privacy rights
  • Public records aggregators: Licensed access to consolidated government filing databases, incorporation records, or insolvency registers where direct API access is restricted or requires commercial licensing
  • Contributory data networks (opt-in only): Professionals who voluntarily share their business contact information through browser extensions or platform integrations, with clear consent mechanisms and the ability to withdraw at any time

▸ Legal Safeguards Applied to All Licensed Sources

  • Every third-party provider undergoes a due diligence review covering data origin, collection methodology, consent documentation, and compliance certifications (GDPR, CCPA, ISO 27001, SOC 2)
  • Contracts include data processing agreements (DPAs) specifying purpose limitation, retention periods, audit rights, and breach notification obligations
  • Licensed data is tagged with source attribution internally, enabling traceability for subject access requests or deletion workflows
  • We maintain a vendor compliance register updated quarterly, with immediate suspension of any partner failing to meet our ethical sourcing standards

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Manual Research & Verification

Automation alone cannot guarantee accuracy at scale. Our data operations team applies targeted human review to high-value records, edge cases, and confidence-scored anomalies:

▸ When Manual Review Is Applied

  • Executive-level contacts: C-suite, VP, and Director profiles undergo additional validation of title, reporting structure, and contact details
  • Low-confidence algorithmic matches: Records where automated scoring flags inconsistencies across sources are routed to researchers for reconciliation
  • High-priority accounts: Companies in target industries or geographic markets receive enhanced profiling, including verification of revenue estimates, employee counts, and technology stacks
  • User-reported corrections: Feedback from customers about outdated or inaccurate records triggers immediate human review and database updates

▸ Verification Methodologies

  • Multi-source cross-referencing: Researchers compare candidate data points against 3+ independent public sources before confirming accuracy
  • Direct validation workflows: Email addresses undergo SMTP handshake checks; phone numbers are validated via carrier lookup and, where permitted, test-call verification
  • Confidence scoring transparency: Each data point receives a reliability score (e.g., "Verified," "Likely," "Unconfirmed") based on source credibility and cross-reference consistency, visible to users at point of export
  • Freshness cycles: Director-level and above contacts are re-verified on a 30-day cadence; company firmographics are refreshed quarterly or upon detection of material change signals (funding, M&A, leadership changes)

Human Oversight Principle: Manual research is supplemental—not primary—to our collection methodology. It exists to correct algorithmic edge cases, not to replace scalable, compliant automation.

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What We Explicitly Do NOT Do

To eliminate ambiguity, we affirm the following boundaries in our data practices:

No Hidden Scraping of Private or Non-Public Profiles

  • We do not harvest data from social media profiles set to "private," "friends-only," or otherwise restricted by user privacy settings
  • We do not bypass authentication walls, CAPTCHAs, rate-limiting protections, or terms-of-service restrictions on any platform

No Data from Unauthorized Access or Breached Sources

  • We do not purchase, ingest, or utilize data known or reasonably suspected to originate from security breaches, credential stuffing, or unauthorized database dumps
  • We maintain automated monitoring to flag and quarantine records with provenance inconsistent with our documented sourcing methodology

No Processing Without Lawful Basis or Transparency

  • For contacts within GDPR/CCPA jurisdictions, we process business contact information under the lawful basis of legitimate interest (for B2B outreach) or consent (where required), with clear notification and opt-out mechanisms
  • Every individual in our database receives a notification email explaining our processing activities and providing a one-click opt-out link
  • We honor all deletion and suppression requests within 30 days and maintain auditable logs of compliance actions

Continuous Improvement & Accountability

Our data practices are not static. We commit to:

  • Annual third-party compliance audits covering sourcing, processing, and security controls
  • Public transparency reports summarizing data subject requests, opt-out volumes, and sourcing methodology updates
  • Customer advisory input on data quality priorities and ethical sourcing expectations

Compliance Framework: GDPR • CCPA • ISO 27001 • SOC 2

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Verification & Quality Control

Every dataset passes through a multi-stage verification workflow inside our centralized PostgreSQL data warehouse.

1

Cross-Matching & Deduplication

Records are automatically compared against our latest verified datasets to eliminate duplicates and outdated entries. Each contact or company record is assigned a unique internal ID to maintain dataset integrity.

2

Ongoing Data Refresh

Our internal systems perform continuous updates as new verified data becomes available. Published, ready-to-use datasets are refreshed on a weekly basis, while internal data layers update automatically in real time.

3

Email Deliverability Validation

Email addresses are validated using SMTP-level checks and random verification passes, maintaining an active deliverability rate above 85% across all public datasets.

4

Multi-Field Validation

Phone numbers, company names, LinkedIn profiles, and addresses are verified against multiple sources to ensure consistency and data freshness.

5

Manual Review Passes

Internal analysts periodically perform manual quality assurance and field-level audits to catch anomalies, fill gaps, and enhance data accuracy before release.

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Data Storage & Computing Cluster

Our infrastructure runs on a dedicated distributed computing cluster optimized for high-performance data import, validation, and enrichment.

Architecture

PostgreSQL / ClickHouse based distributed warehouse

Locations

OVH servers (5 global data centers) + Hetzner Frankfurt for redundancy

Node Roles

Specialized workloads: ingestion, cross-referencing, SMTP checks, compression, deduplication

Backend Tools

Custom-built interfaces for manual review, matching, enrichment, and validation

Parallel processing across nodes for optimal throughput
Versioned, timestamped, archived datasets with full traceability
Redundancy mechanisms ensure business continuity

Our Commitment

At MediumAxis, we believe that data quality drives business results. By combining trusted sources, a rigorous verification pipeline, and robust infrastructure, we ensure that every dataset we publish is accurate, consistent, and ready for professional use.

Whether for lead generation, market research, or strategic analytics, our datasets deliver the precision and reliability that modern data-driven businesses depend on.


⚠️ Notice: Specialized Bulk Datasets

Certain MediumAxis products are offered as high-volume, aggregated compilations designed for technical users, data scientists, and large-scale analytics workflows. These datasets are compiled from publicly available sources and licensed partners, and may contain records with varying levels of verification.

By purchasing these products, you acknowledge that you are the Data Controller for any personal data processed, and that you will comply with applicable data protection laws and use the data only for lawful business purposes.

→ Learn about responsible use in our Trust Center


🛡️ Using MediumAxis Data Responsibly

As the Data Controller for any personal data you process using MediumAxis Products, you are responsible for ensuring your use complies with applicable laws in your jurisdiction. We provide tools and documentation to support you:

💡 Pro Tip: Validate your lawful basis (e.g., Legitimate Interest) before outreach, honor opt-outs promptly, and maintain audit records.
See customer obligations →


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