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Tellis

Tellis is an AI-powered product intelligence platform that continuously audits and enriches ecommerce catalogues using real-time shopper signals to improve product discoverability and conversion. It integrates with existing CMS, PIM, and DAM systems, staging all AI-generated changes for review while automating content production across channels. The platform enables brands to reclaim significant team hours and boost AI search presence, with one UK health-food retailer saving 40+ hours weekly.

London, United Kingdom · HQ
5100+ followers
Updated yesterday

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Ecommerce brands with large product catalogues often suffer from missing attributes, weak product detail pages, stale descriptions, and inconsistent data across channels. These data quality issues compound as SKU counts grow, causing products to underperform in search and social channels, leak revenue, and lose visibility in AI-driven search results.

Solution

Tellis is an AI agent platform that sits on top of a brand's existing stack—including CMS, PIM, and DAM systems—to continuously audit product catalogues and identify data quality issues. The AI agents learn from real shopper signals, such as search behavior and social engagement, to enrich product data and ship improved versions back into the system of record. Every change is staged for human review, allowing teams to set per-category rules, approve in batches, or auto-publish low-risk fixes. Tellis updates catalogues in real time, making products more discoverable and conversion-optimised across every sales channel, while freeing teams from manual content production.

Target Audience

Tellis serves ecommerce brands, retailers, and agencies managing large product catalogues who need to improve product data quality, conversion rates, and AI search visibility without expanding headcount.

Features

  • Continuous automated catalogue audits that detect issues across product images, descriptions, and missing attributes at scale
  • AI agents that learn from real shopper signals, including search trends and social engagement, to prioritize enrichment efforts
  • Staged review workflow with rule-based approval, batch approvals, and auto-publish options for low-risk fixes
  • Seamless integration with existing CMS, PIM, and DAM systems, enriching the system of record directly
  • Real-time product updates across search and social channels to capture rising demand signals
  • Live dashboard showing growth signals per product with source attribution (e.g., Search, TikTok, Pinterest, Instagram)
  • Automated content production, demonstrated by an 8x faster time-to-market from supplier specs to live product detail pages
This profile is AI-generated and may contain inaccuracies.