Listings are candidate inputs
A third-party listing, launch page, product directory, or category page can place an entity into a review queue. It does not create an evidence object by itself.
Methodology
Trust Signal Directory separates candidate discovery from evidence classification. Public product lists, launch pages, category pages, startup databases, and manual research may help identify companies for review. They are not treated as trust, security, privacy, compliance, or enterprise-readiness evidence.
Section 1
A discovery source can help identify a company, product, or category that may deserve review. It does not prove that the entity is a company, a B2B software vendor, an enterprise-facing vendor, or a trust-evidence subject.
A third-party listing, launch page, product directory, or category page can place an entity into a review queue. It does not create an evidence object by itself.
A product name may refer to a company, a feature, an open-source project, a side project, a model release, a consumer app, or a discontinued product.
Evidence classification requires public, company-controlled sources that can be reviewed independently and tied to a specific vendor.
Section 2
Discovery sources support coverage and category research. They help build candidate pools, identify adjacent vendors, and avoid relying only on already-known companies.
Find companies, products, and projects that may belong to SaaS, AI, developer tooling, data, security, workflow automation, or other relevant software categories.
Group candidates by market context so evidence patterns can be reviewed within categories rather than as an undifferentiated list.
Prioritize likely B2B and enterprise-facing vendors for manual review before any evidence status or signal role is assigned.
Section 3
Verified public trust evidence must come from official or company-controlled public sources, or from public announcements that can be tied directly to the company and reviewed by another reader.
Section 4
A candidate is not classified as a trust signal until official public evidence has been reviewed. The classification stays close to the evidence and avoids unsupported conclusions.
Section 5
Discovery sources can expand the review universe. They do not support conclusions about a vendor's trust posture or commercial intent.
A listing does not prove the entity is an active company or that it has a current official website.
A software or AI category listing does not prove the vendor sells to businesses, enterprise buyers, or regulated customers.
A candidate appearing in a category does not prove the presence of a Trust Center, Security page, DPA, SOC 2 statement, AI policy, or enterprise controls.
Discovery does not imply budget, active procurement, vendor search, customer pressure, compliance gaps, or need for a specific product or service.
Section 6
When an expected trust surface is not observed, the site treats it as not observed or not verified. It does not claim the evidence is absent, that the company lacks the control, or that the company is non-compliant.
Section 7
The site may use broad public discovery sources to build candidate review pools, but public company profiles, directories, examples, and reports should rely on official public evidence before assigning evidence status or signal role.
Large discovery pools are used for review prioritization and coverage planning. They are not published as evidence directories without verification.
Published entries should include official source URLs, evidence status, last checked dates when available, and a clear note on what should not be inferred.
The directory may describe public evidence surfaces and signal roles, but it does not claim active buying intent, non-compliance, vendor risk, or procurement pressure.