How to read the data
Methodology
AI Market Map combines structured desk research with company-supplied updates. The same field definitions are applied across companies so buyers can compare like with like, while source labels, dates, and confidence indicators make the limits of the data visible.
How information is collected
- Research. The research team reviews company websites, official announcements, public filings, reputable reporting, and other attributable sources.
- Normalization. Source language is mapped into consistent fields and controlled values. Original wording may be retained where a fixed category would remove useful nuance.
- Classification. Companies are tagged by what they build (segments) and who they serve (industries and buyer functions). These are separate axes.
- Verification. Dated events record their source, date precision, confidence, and verification date when available. A missing month or day is never invented.
- Maintenance. Profiles are updated as new evidence is reviewed. Future company submissions will enter an editorial review process rather than publish automatically.
Provenance and editorial control
- Research Team Data
- Information compiled and normalized by Cofficiency Research from attributable sources.
- Claimed & Verified
- A company has verified its association with the profile and may contribute descriptive information. Editorial classifications are not silently replaced by vendor claims.
- Last updated
- The date the company record was most recently refreshed. It is a freshness signal, not a guarantee that every field changed on that date.
Core field glossary
- Summary & description
- Concise and expanded explanations of the company and its offering.
- Positioning
- How the company presents its role and differentiation in the market.
- Segments
- Governed product and technology categories answering: “What does this company build?” A company may belong to several segments.
- Industries
- Vertical markets and buyer functions answering: “Who does this company serve?” These remain separate from product segments.
- Target customers
- The organizations, teams, or user groups the company is designed to support.
- Funding & financials
- Normalized funding stage plus source-specific revenue, valuation, investment, exchange, or ticker information where available.
- Company size
- A normalized employee range. Original source wording may also appear when it adds useful detail.
- Pricing model
- One or more commercial approaches, such as subscription or usage-based pricing, plus raw source text when needed.
- Company timeline
- Sourced milestones such as founding, funding, acquisitions, leadership changes, announcements, and releases.
- Known customers & competitors
- Research context drawn from public evidence; inclusion is informative, not an endorsement or exhaustive list.
Controlled values
Funding stage
Bootstrapped — primarily self-funded. Seed — seed-stage financing. Series A and Series B — the named institutional stage. Series C+ — Series C or a later private round. Public — publicly traded. Acquired — ownership changed through acquisition.
Company status
Active — operating independently or as currently represented. Pending acquisition — an acquisition is announced but not yet complete. Acquired — the acquisition is complete. Defunct — no longer operating.
Company type
Private — privately held. Public — publicly traded. Subsidiary — controlled by a parent company. Unknown — the available evidence does not support a reliable classification.
Review status
Published records appear publicly. Pending review records await editorial approval. Rejected submissions do not appear in the public registry.
Timeline date precision
Year, Month, or Day records exactly how specific the source is. An event shown as 2023 does not imply a known month or day.
Timeline confidence
High, Medium, or Low reflects the strength and clarity of the available evidence, not the importance of the event.
What the data does not claim
Coverage is designed to support discovery and structured evaluation; it is not financial, legal, procurement, or investment advice. Empty fields mean that reliable information has not yet been captured, not that the underlying fact does not exist. Rankings and future evaluation tools will follow published editorial rules and should be one input into a broader diligence process.