Company data inside a product workflow
Add legal-entity search, profiles, officers, ownership, financials or monitoring to customer-facing software.
Company data partnerships
Make registry-sourced company data part of your product.
Build legal-entity search, company profiles, ownership, financial and AI-grounding experiences on a data layer that starts with official sources and keeps provenance visible.
Customer-facing, redistribution, export, caching and retention rights are defined in the applicable written agreement. Partnership configurationSCOPED TO PRODUCT
PRODUCT EXPERIENCECompany intelligenceCustomer-facing softwareREVIEW
- Data
- Identity · people · ownership
- Coverage
- Named jurisdictions
- Delivery
- API · bulk · MCP
- Use
- Display · export · retention
Rights boundaryDefined in the applicable written agreement
- 640M
- companies accessible through Zephira
- 463
- government sources · Q3 2026
- 220
- countries & territories
- Source-linked
- Registry and filing context
Partnership models
Designed for products that deliver company intelligence.
The partnership starts with the user experience and works backward to the correct source, field, delivery and permitted-use configuration.
A source-aware company layer
Combine defined registry-sourced fields and Zephira processing with an existing analytical or reference product.
Structured facts with evidence
Ground company questions in resolved entities, official-source context and governed delivery routes.
Company evidence at the point of work
Bring search, relationship context and filed information into investigative and operational experiences.
Documented data chain
From official source to end-user experience.
The Zephira layer makes registry records operational. The rights boundary defines how that data may move beyond the partner product.
Records and filings from named authorities
Resolved, structured, enriched and source-linked
A configured customer-facing experience
Company facts inside the intended workflow
INSIDE THE ZEPHIRA LAYEREntity resolutionFiling digitisationCorporate linkagesFirmographic enrichmentSource provenance
The boundary is explicit. Dataset, territories, display, export, caching, retention and downstream access are defined by agreement for the intended product.
Review a product use caseWhat gets defined
Commercial rights and technical delivery are scoped together.
A standard API plan should not be treated as permission to redistribute. The intended end-user behaviour must be described before the correct arrangement can be confirmed.
| Scope dimension | Question to resolve | Defined outcome |
|---|---|---|
| Data scope | Which fields, datasets, entity types and historical periods are included? | Defined dataset schedule |
| Territories | Which jurisdictions and official sources support the product experience? | Named coverage scope |
| Display | Where and how may company data be shown to authorised end users? | Permitted presentation |
| Export | Can users download or extract fields, records or documents? | Explicit export terms |
| Caching & retention | What may be stored, for how long, and under which update obligations? | Operational data controls |
| Downstream access | Can another system, customer or agent query the data through the product? | Defined access boundary |
| Delivery & service | Which interface, feed, cadence and support model fit the intended use? | Technical delivery plan |
Data capabilities
More than a pass-through to the registry.
Zephira turns heterogeneous official records and filings into a resolved company layer, then keeps enrichment and processing distinguishable from source facts.
Official-source foundation
Company records and filings begin with named registries and authorities rather than anonymous web aggregation.
Entity resolution
Fragmented names, identifiers and records are connected to stable legal entities where evidence supports the match.
Digitised financials
Applicable filed accounts can be converted into structured, period-aware financial fields.
Corporate linkages
Resolved company-to-company relationships support parent, subsidiary and ownership experiences where available.
Firmographic enrichment
Operational context can be added while remaining distinguishable from the official company record.
Visible provenance
Registry, filing, date and processing context can travel with the delivered record where available.
Delivery architecture
Choose the route that fits the product.
Delivery is selected after the source scope, intended use, freshness requirement and expected volume are understood.
01
REST APIQuery company records and related datasets inside live product flows.
02Bulk data feedsIngest defined full or change datasets for high-volume product use.
03MCP for AI agentsConnect supported company-data tools to agent workflows.
04Configured deliveryCombine scope, cadence and access controls for a defined product requirement.
Partnership process
A rigorous path from concept to integration.
Begin with the intended product rather than an assumed licence. Each step narrows ambiguity before implementation begins.
- 01Describe the experience
Define who uses the product, which company questions it answers and where the data appears.
- 02Review sources & fields
Confirm jurisdiction coverage, official-source availability and required processing layers.
- 03Scope permitted use
Document display, export, caching, retention and downstream-access requirements.
- 04Validate delivery
Align API, bulk, MCP or configured delivery with volume, freshness and integration needs.
- 05Agree and implement
Put the applicable written agreement in place, then move into technical implementation.
What is a Zephira data partnership?
It is a commercial and technical arrangement for using a defined scope of Zephira company data within software, data, AI or workflow products. Coverage, delivery and permitted use are documented for the intended product experience.
Does a standard API subscription include redistribution rights?
No such assumption should be made. Customer-facing, redistribution, export, caching, retention and downstream-access rights are defined in the applicable written agreement.
Can Zephira data be shown inside customer-facing software?
It can be scoped for customer-facing use where the relevant sources, fields, territories and rights support the intended experience. The exact permitted use must be confirmed in writing.
Which company datasets can be included?
Potential scope can include legal identity, officers, disclosed shareholders, filed financials, corporate linkages, firmographics and provenance. Actual availability varies by jurisdiction, company type, source and agreement.
Can partners use the data for AI agents?
Yes, AI product and agent use cases can be evaluated. The review covers tool behaviour, source evidence, caching, end-user access and how company facts are returned or displayed.
How is a partnership different from Embedded Data Products?
Embedded Data Products explains the product experiences teams can build. Data Partnerships explains how source coverage, delivery and permitted downstream use are scoped for a specific customer-facing product.
How do we start a partnership review?
Share the product, intended users, required jurisdictions and fields, delivery preference, estimated volume, and whether users need display, search, export or downstream API access.
What is Zephira data partnerships?
Zephira data partnerships is part of Zephira's registry-sourced company-data platform. Data partnerships define permitted product display, export, caching, retention, downstream access and delivery for embedded company-data experiences.
Who uses zephira data partnerships?
Compliance, risk, data, product and AI teams use zephira data partnerships when they need structured company facts with clear provenance.
Where does the data for zephira data partnerships come from?
Official company registries and filed company documents are the starting point. Source context is retained so users can trace material facts.
Partnership brief
Tell us what your product needs to deliver.
Include intended users, jurisdictions, fields, delivery, volume and required display, export or downstream access.