Rank AI tools and vendors using source-backed signals from public company evidence.
By share of tracked signals · click to explore
Data coverage: 243 tracked signals · 33 vendors · 62 tools · Updated Jun 2, 2026
How Applied tracks AI adoption signals and what the rankings mean.
AI adoption signals are public evidence that companies are hiring for, using, evaluating, or referencing specific AI tools, vendors, and categories. Applied tracks these signals from sources such as job postings, use cases, technical blogs, company announcements, and vendor references.
The dashboard ranks AI tools and vendors based on source-backed signals from public company evidence. It helps users see which tools, vendors, categories, industries, and business functions are gaining adoption momentum.
No. Adoption signals are not market share. They are directional indicators based on public evidence. A tool with many signals is appearing more often across company evidence, but this does not necessarily mean it has the highest revenue, usage, or customer count.
Applied uses public sources such as job descriptions, company case studies, technical blogs, vendor customer pages, company announcements, and Applied's own curated use case database. Each signal is connected back to source evidence when available.
Tools and vendors are ranked using a combination of signal volume, unique companies, source quality, recency, momentum, and match confidence. Repeated mentions from the same company are treated differently from signals spread across many companies.
A tool signal is counted when a specific product, platform, model, or tool is mentioned. A vendor signal is counted when the company or vendor is mentioned, or when one of its tools is mentioned and rolled up to the vendor level. For example, a mention of Claude Code counts for Claude Code and Anthropic. A mention of Anthropic alone counts for Anthropic, but not automatically for Claude Code.
Job postings show which tools, platforms, and skills companies are actively hiring for. They are not proof of full production usage, but they are useful signals of demand, internal priorities, and technology direction.
Hiring signals come from job descriptions where companies mention specific AI tools, vendors, or skills. Usage signals come from public evidence that a company is using or implementing a tool, such as case studies, technical blogs, or company announcements. Both are included as adoption signals, but they may be weighted differently.
Applied updates adoption signals regularly as new public evidence is collected, reviewed, and mapped to tools, vendors, categories, industries, and business functions.
The dashboard is useful for product marketing teams, competitive intelligence teams, analysts, consultants, investors, and operators who want to understand which AI tools and vendors are gaining traction across the market.