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For GTM and company-data platforms

Answer customer questions standard firmographic filters cannot express.

Axinet supplies the upstream company-discovery and evidence layer: define a specialized market, discover candidates beyond the incumbent database, resolve company identity, qualify membership, and deliver the result into a product or workflow.

01

Definition

Who counts, who does not, and what evidence is enough.

02

Discovery

Which organizations should enter the candidate universe.

03

Identity

Which names, aliases, and entities belong together.

04

Evidence

Why each inclusion or exclusion can be defended.

The upstream layer

The hard part often happens before enrichment, scoring, and activation.

Account intelligence

The request starts with a market, not a name.

Named-account research works after a company is known. The harder request is upstream: discover the cohort satisfying a nuanced operating definition.

  • + Specialized prospect markets
  • + Capability- and relationship-defined cohorts
  • + Unusual qualification evidence

Company data

A complete row cannot repair an incomplete universe.

Enrichment can add fields to a known row. It cannot recover a qualifying company that never entered the candidate set.

  • + Evidence-backed custom attributes
  • + Industry-specific company cohorts
  • + Source-bound qualification

Signals and timing

Durable fit is not the same as why now.

A company can fit without a current signal, and a current event can occur at a poor-fit company. The two judgments should remain separate.

  • + Durable market membership
  • + Current business change
  • + Proportionate evidence and action

What a design-partner pilot requires

Start with one query worth adjudicating.

  1. 01One account discovery or customer query
  2. 02The current database, search workflow, or baseline result
  3. 03A written inclusion and exclusion rule, or time to draft one
  4. 04A domain reviewer who can adjudicate borderline companies
  5. 05The desired delivery shape: structured file, ranked view, or evidence packets

Proposed pilot output

01

Locked market definition

02

Source and discovery plan

03

Broad candidate universe

04

Accepted, rejected, and review cohorts

05

Evidence packet for each reviewed company

06

Comparison with the supplied baseline

07

Error taxonomy and unresolved questions

A pilot measures coverage against a reviewed reference process and reports what remains unknown. It does not promise universal completeness.

Capability status

Clear boundaries, before the pilot starts.

Current workflows and development directions are labeled separately so a design partner knows what is being tested.

Multi-path candidate discoveryAvailable in controlled workflows
Belongs / review / does-not-belong decisionsAvailable in controlled workflows
Company groups, names, aliases, and evidence packetsAvailable in controlled workflows
Structured delivery and APIControlled pilot; scope confirmed per project
Broader registry and local-source coverageIn development; source-specific
Stable snapshots, deltas, and retractionsIn development

Data-design pilot

Give us the query your current data model cannot answer.

One query, your current baseline, and a reviewer who understands the domain.

Apply for a data-design pilot