GTM and account intelligence
Answer customer questions that standard industry, revenue, employee, and technology filters cannot express.
- + Specialized prospect markets
- + Evidence-backed qualification
- + Uncommon company attributes
Company discovery for markets ordinary databases miss
Construct the market your database cannot represent.
Axinet discovers qualifying companies beyond the starting list, resolves company identity across names and aliases, and binds each inclusion decision to source evidence.
Book preview
Data Systems for Agentic GTM
How AI Agents Discover Markets, Resolve Companies, Detect Buying Signals, and Drive Revenue Action
Illustrative workflow
What you ask for
Which North American machine-vision integrators serve food-processing plants, and which have expanded recently?
What Axinet builds
01Candidate universe
02Evidence-based membership
03Resolved names and aliases
04Recent business change
Example only; not a customer result or coverage benchmark.
Where it fits
Built for platforms that need more than fixed firmographics.
Company data and enrichment
Add specialized company cohorts and defensible attributes without building every long-tail dataset internally.
- + Industry-specific cohorts
- + Custom qualification fields
- + Names and alias resolution
Finance and research
Construct thematic company universes, rank risk or opportunity, and inspect the source evidence behind each view.
- + Thematic company screens
- + Risk and opportunity views
- + Evidence-ranked theses
What Axinet delivers
From an account discovery query to a defensible company cohort.
01
Market definition
Inclusion, exclusion, geography, time, and evidence rules.
02
Candidate universe
Companies found through multiple retrieval and discovery paths.
03
Company identity
Resolved company groups, names, aliases, and operating context.
04
Evidence packets
Source-aware facts, events, relationships, and supporting context.
How it works
Define. Discover. Resolve. Prove. Deliver.
01
Define
Write the membership rule before retrieval.
02
Discover
Search beyond the starting database.
03
Resolve
Group names and aliases into real organizations.
04
Prove
Test each candidate against bounded evidence.
05
Deliver
Return the cohort in the shape the workflow needs.
Axinet is extending this workflow toward maintained company and relationship datasets with richer change history.
A practical field guide for GTM and data leaders
Data Systems for Agentic GTM
How AI Agents Discover Markets, Resolve Companies, Detect Buying Signals, and Drive Revenue Action.
“Enrichment asks, ‘What can we add to these known rows?’ Discovery asks, ‘Which rows should exist in the first place?’”
From Chapter 1: The Market Is Not a List - Team Axinet AI
Finance proof
The same construction layer supports research decisions.
Live market screen
Direct-to-Chip Liquid Cooling AI Data Center
Opportunity/risk view with source-cited signals across liquid cooling suppliers, CDUs, cold plates, coolants, and AI data-center thermal infrastructure.
Open view ->Live market screenPeptide API and GLP-1 CDMO
Market view across peptide API manufacturers, GLP-1 peptide CDMOs, fill-finish partners, and pharma manufacturing suppliers.
Open view ->Live market screenWarehouse Expansion and Supply-Chain Modernization
Opportunity/risk view across companies tied to warehouse expansion, new distribution centers, logistics capacity, and supply-chain modernization.
Open view ->Test your current data
What important account discovery query can your current data not answer?
Submit one failed account discovery query, the baseline you currently use, and a reviewer who understands the market.