Services / Custom Data
If it isn't tracked yet, we build it
If the attribute your workflow needs doesn't exist in any data catalog, Veridion builds it from primary sources. New attributes in weeks, not quarters. Same 642M-company corpus as every standard enrichment output.
Custom tagging classifying companies by their systemic importance to a financial ecosystem. Integrated into credit-risk infrastructure.
Pre-distress and pre-growth detection from web changes, news sentiment shifts, headcount deltas, and domain activity.
Product-level tagging deeper than NAICS. Distinguishes specific certifications, capabilities, and product subtypes within a sector.
Failure modes
Where standard enrichment runs out.
Off-the-shelf enrichment stops here. Without a custom dataset, this is what your teams are left working around.
What happens when your sector model is not NAICS and off-the-shelf returns the wrong bucket?
Every downstream model inherits the misclassification. Decisions land on the wrong cohort.
What happens when pre-distress or systemic-importance scoring does not exist in any data catalog?
Either you build it in-house from raw sources, or you accept blind spots in the risk surface.
What happens when classification needs precision no off-the-shelf product supports?
Compliance ships generic; the auditor finds the gap.
What happens when companies need filtering by criteria that do not map to standard dimensions?
Generic filters return half the cohort. The other half stays invisible to every downstream workflow.
How a custom dataset gets built
Pilot first. Full scope unlocks only after the pilot accuracy clears.
A typical pilot runs 8 weeks. Every week ships an artifact you can audit. Powered by the Attribute Factory: new attributes in weeks, not the 6 to 12 months typical of fixed-schema vendors.
- 1W1 · ScopingPick 2 to 3 attributes; lock acceptance criteria; agree the sample universe.Ships: Acceptance criteria doc
- 2W2–3 · Attribute designArchitect extraction logic and source strategy per attribute. Validate on sample.Ships: Extraction spec
- 3W4–6 · BuildRun pipelines across the representative sample. Tune for accuracy targets.Ships: Validated sample dataset
- 4W7 · Accuracy reviewValidate against acceptance criteria; investigate edge cases; decide scale-up.Ships: Accuracy report
- 5W8 · HandoffSample, extraction logic, methodology, refresh schedule. Ready to scale.Ships: Production-ready package
Where Custom Data fits
Six common shapes Custom Data takes.
Bespoke wiring for agentic and analytical workflows. Each one is built from primary sources on the same corpus that powers standard enrichment.
Systemic-risk scoring
Score every company by its systemic importance to a market or supply chain: corporate role, interconnectedness, substitutability. Wired directly into credit and risk infrastructure.
Counterparty exposure mapping
A bank or insurer's full counterparty universe resolved to canonical entities and rolled up to parent groups, so concentration and correlated exposure surface across the whole book.
Regulatory classification datasets
Company populations classified to a specific regime (CSRD scope, UFLPA regions, sanctions-adjacent jurisdictions) with documented boundaries and exclusion rules that land in the audit file.
Pre-distress early-warning scoring
Bespoke leading-indicator scores from web changes, hiring deltas, and news signals, tuned to the portfolio you actually hold.
Industry sub-segment mapping
Break broad NAICS categories into meaningful sub-segments based on business tags and product-level signals. Closer than any standard rollup.
Market Intelligence Command Center
Full agentic workflow: input a company or industry, get competitor discovery, market sizing, gap analysis, country-expansion strategy, and a 200 to 1,000-company lead list.
Strategic Program tier
Custom Data engagements run as a Strategic Program. Multi-month, separately scoped, with Veridion's data science and ML teams involved end-to-end. Output is a delivered dataset or a recurring data feed.
Proof
Where this has been applied
Applied where proprietary signals, specialized taxonomies, or regulatory specificity rule out off-the-shelf enrichment.
Business Importance Tags integrated into credit-risk infrastructure
Custom tagging classifying companies by their systemic importance to the German financial ecosystem. Built on Veridion's company universe with custom attribute modeling.
Multi-signal early warning across ~500k monitored companies
Web presence, news sentiment, headcount, and domain-activity signals scored continuously to surface pre-distress and pre-growth patterns.
Full Tier-N supply tree from finished product to raw material inputs
Confirmed supplier relationships plus UNSPSC-to-input decomposition, tied to regulatory and standards-body documentation at every node.
What you get
Deliverables
A proprietary dataset that fits your schema exactly, with documented extraction logic, accuracy benchmarks, and a maintainable refresh framework. Every deliverable ships in the format, cadence, and destination your stack already uses.
Custom attribute definitions
Versioned and replayable on future refreshes, with documented rules for every attribute.
Tailored company datasets
Delivered against your exact schema, in the format your systems already consume.
Coverage and quality benchmarks
Accuracy samples, fill rates, and edge-case documentation, so downstream consumers can apply their own thresholds.
FAQ
Questions worth asking up front.
Custom only
Talk to our data team.
No self-serve for custom. It starts with a conversation about your use case and stack.
Services
Explore the rest of the suite
Every service runs on the same intelligence layer. Each one addresses a distinct problem.