Yarnit

yarnit.app ↗

Agentic AI platform for marketing, ecommerce and enterprise teams

SI Score
70/100
Pricing
Contact for Pricing
Free plan
Not confirmed
Sign-up required
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Homepage screenshot
Screenshot of the Yarnit homepage
SI REVIEWBased on the site's own pages, in a directory managed by people

What it does

Yarnit builds agentic AI that understands context, reasons across enterprise knowledge and acts on the systems where work gets done. It offers solutions for retail and ecommerce, marketing, and forward deployed enterprise AI. The platform covers catalog intelligence, campaign intelligence, content and SEO, creative, AI visibility, and conversational BI.

Yarnit is an agentic AI platform. The site says it builds AI that understands context, reasons across enterprise knowledge and acts on the systems where work gets done. For retail and ecommerce, it lists CatalogIQ, AI Visibility, Growth Engine, Storefront AI and Creative Commerce. For marketing, it lists Campaign Intelligence, Content & SEO, Creative, Ask Yarnit, AI SDR, SEO & GEO and Humanizer. Enterprise work is framed around forward deployed AI, enterprise agents, conversational BI and context and knowledge systems. The platform section names YaOS for orchestration, Contextual Intelligence for structured knowledge, Memora for memory, and agents and tools for connectors and actions. The site states outcomes such as 5,000+ commerce workflows automated, a 40% reduction in campaign planning time and a 40%+ reduction in support load. These are vendor figures with no independent detail. The homepage shows login links and a Talk to us contact option, but no pricing page was found. A buyer should check how connectors fit their own stack, what governance and data controls exist, and how to start.

Strengths
  • Covers marketing and ecommerce use cases on one platform
  • Names modules for catalog, campaign, creative and AI visibility work
  • Describes enterprise orchestration, memory and context systems
Watch out for
  • No pricing page or public plan details on the site
  • Outcome figures are vendor-stated without independent proof
  • Product breadth can make the right starting point unclear