Company / Initiatives / Academic Program
Live company data for research that can't wait for a static dataset.
If your research touches markets, industries, or business structure, you are probably working off data that is already outdated. The Academic Program gives admitted researchers free access to a continuously updated graph of company intelligence.
The research data problem
Most research on companies runs on data that stopped updating years ago.
Census files, registry exports, and manually compiled datasets all capture a moment in time. Markets do not hold still. The gap between when the data was collected and when the research runs can invalidate findings before they are published.
What most researchers work with
- Static exports from national registries, updated annually or less
- Bureau sources priced for enterprise contracts, not academic budgets
- Coverage gaps in the SMB long tail, the segment that carries most of the real economy
- No cross-validation between sources, and no confidence scoring per attribute
- Industry classifications that have not been re-checked since the company was founded
What the Academic Program offers
- Records refreshed weekly across 135M operating companies, including the long tail
- 461 attributes per company: industry classification, locations, financials, products, ESG signals, corporate structure
- Confidence scores and source provenance on every field, citable and auditable
- API access, so you query exactly the slice of the graph your research needs
- No cost for admitted researchers: no license fee, no data purchase, no per-seat charge
What's included
APIs for querying. Batch for volume. No cost if admitted.
Two APIs for interactive discovery and enrichment, plus batch file delivery for larger extracts and recurring feeds. The right delivery method depends on your research design, so we scope it with you during the review.
Search API
Query the full universe of 642M companies by industry keywords, classification codes, location, legal name, certifications, product tags, revenue range, employee count, and more. Useful for market mapping, competitive-landscape analysis, industry segmentation, and supplier-universe studies. Returns ranked, structured company profiles.
Match & Enrich
Start with a company name, website, or partial record and get back a full profile. Useful when you have a list from a survey, registry extract, or secondary source and need to enrich it with structured attributes. Returns up to 461 data points per company in ~1.5s, with confidence scores per field.
Batch file delivery
For research that needs a full market slice, a large company cohort, or a recurring feed rather than query-by-query calls. Batch delivery covers a broader attribute set and can be scoped to your exact research criteria: sector, geography, size band, or a custom filter combination. Available as a one-time backfill, scheduled weekly export, or incremental update feed.
Data freshness
The full graph refreshes weekly. Change detection runs continuously across ownership shifts, product launches, location changes, and hiring signals. Longitudinal research can track company-level changes over time rather than comparing two static snapshots.
Source provenance
Every attribute carries a confidence score and traces back to the source signals that produced it: registry filings, web-crawl data, patent extracts, partner feeds. This makes Veridion data citable. You can document where each data point came from and how confident the system is in it.
The full depth
Specialist depth and registry breadth. Most providers make you pick one.
Most research data products are either expensive specialist databases with narrow coverage, or broad registries with thin attributes. The Academic Program gives you both layers at once, and at no cost. Open any layer in the live knowledge graph.
Firmographics
Name, type, size, revenue, headcount, founding year, legal form, jurisdiction, registry IDs
Industry classification
Seven standard taxonomies mapped in parallel (NAICS, ISIC, NACE, SIC, NCCI, IBC, UNSPSC), plus Veridion's own
Location graph
HQ and operational addresses, coordinates, number of locations, facility-level coverage
Corporate structure
Ultimate parent, subsidiaries, affiliated entities, with jurisdiction per entity
ESG scores
Overall ESG score (0 to 100), environmental, social, governance sub-scores with written justifications
Digital presence
Website domain, social profiles, primary email, phone numbers, language
ESG industry benchmarks
Sub-criteria scores with industry-average benchmarks per criterion, rarely available in structured form at SMB coverage
Products and services
1.3B individual products with UNSPSC classification, materials, manufacturing country, production capacity
Technographics
Technology stack per company: product, vendor, category, version, first and last verified date
M&A transactions
Deal type, status, consideration, advisers, dates, structured at a scale typically found only in specialist financial terminals
Financial risk signals
Operational disruption flags, legal exposure, funding stress, reputation sentiment, news velocity
Supply chain mapping
Customer-supplier relationships with confidence scores and evidence type per relationship
Core attributes available through the API. Extended attributes delivered via batch, scoped during the review.
Research applications
What researchers use this data for.
The data supports research across market structure, supply chain, firm-level analysis, ESG, entrepreneurship, and corporate strategy. Scope beyond these examples — describe your use case and we'll confirm fit.
Industry segmentation and competitive-landscape mapping
Use the Search API to identify and size all active companies in a defined sector, geography, or revenue band. Useful for market-entry analysis, HHI calculations, and competitive-dynamics studies.
Supplier discovery and supply-chain topology research
Map supplier universes for a given product category or region. Simulate supplier discovery for a hypothetical buyer. Analyze geographic concentration of production capacity across tiers.
Company enrichment for survey and registry datasets
Augment an existing company list from a survey, registry, or secondary source with structured attributes such as revenue estimates, employee count, industry classification, and location graph, using Match & Enrich.
ESG signal analysis across sectors or geographies
Access ESG scores, GHG signals, green certifications, and adverse-media flags at company level. Useful for sustainability-disclosure research, transition-risk analysis, and CSRD-related studies.
New firm formation and startup-ecosystem analysis
Track new company registrations, founding activity, and growth signals across regions and sectors. Analyze the density and composition of startup ecosystems or innovation clusters.
Acquisition targeting and corporate-structure research
Use corporate-hierarchy data and ownership linkages to study M&A patterns, subsidiary structures, and conglomerate behavior across markets. Ownership resolves through multiple holding layers.
Who can apply
Open to researchers with a genuine data need.
For individual researchers and academic teams whose work requires at-scale company data. Admission is based on the research use case, not institutional affiliation alone.
Students
Undergraduate and postgraduate students working on a thesis, dissertation, or research project that requires real-world company data at scale.
Include your supervisor's details in the application. It helps us understand the research context.
Faculty and researchers
Academic staff and researchers affiliated with a university or research institution, working on peer-reviewed papers or funded research projects.
Mention the institution and, if applicable, the funding body in the application.
Independent researchers
Researchers not currently affiliated with an institution but with a clearly defined academic project, such as a working paper, conference submission, or published article.
Applications are evaluated on the merits of the use case. Institutional affiliation is not a hard requirement.
How to apply
Describe your research. We'll review and respond within a week.
Applications are reviewed on a rolling basis. Admission is based on the research use case: what you are studying, what data you need, and how you plan to use it.
- 1ApplicationTell us about your research project, your institution, and specifically what data you need and why. The more concrete the use case, the faster we can scope the right access level.
- 2ReviewThe team reviews applications within a week. We are looking for research that requires real company data at scale, not cases where a smaller, static dataset would do the job just as well.
- 3Scoping callA short call to understand your research design and confirm which APIs, attributes, and delivery methods are the right fit.
- 4AccessAdmitted researchers receive API credentials, full documentation, and a data sample relevant to their use case. Access is free for the duration of the research project.
What to prepare
A few things to have ready before you apply. It helps us scope the right access faster.
- Your research project and the question it answers
- Your institution and supervisor, if you are a student
- The specific data or attributes you need (e.g. industry classification, locations, products)
- How you plan to use the data in the research
- Potential outputs, publication, thesis, or conference paper
Free access for admitted researchers. No license fee. No strings attached.
FAQ
Questions about the program.
Academic Program
Research that requires real company data should have it.
Apply to the Academic Program. Describe your research and we'll review it within a week. Access is free for admitted researchers, for the duration of the project.