claid.ai

UPDATED: October 2, 2025
B2BWebsite/Web App

Claid is an AI product photography suite and API that helps e-commerce brands and marketplaces generate, enhance, and edit pro-quality product visuals (e.g., AI Photoshoots, backgrounds, upscaling) to drive conversion.

MRR (USD)

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TRAILING 30D REVENUE

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LIFETIME REVENUE

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TARGET CUSTOMER

E-commerce brands and online marketplaces (including print-on-demand) that need scalable, conversion‑focused product imagery and videos.

TIMELINE

  • Foundations (since 2018)

    Foundations: Claid/Let’s Enhance team has been "Building generative AI since 2018" and "7+ years building AI."

  • Claid Animations launch — November 26, 2024 →

    Launched Claid Animations to turn product photos into short videos.

  • Image2Video launch — December 9, 2024 →

    Launched image2video to complete the product photo toolkit.

  • Autoprompt AI — February 24, 2025 →

    Released Autoprompt AI to automate background prompts.

  • AI Backgrounds V2 — March 18, 2025 →

    Rolled out AI Backgrounds V2 for more photographic realism.

  • AI Fashion Models — May 13, 2025 →

    Launched AI Fashion Models to turn apparel photos into on-model images.

  • AI Photoshoot — September 24, 2025 →

    Announced AI Photoshoot to replace traditional product photo crews.

TECH STACK

APIs with Zapier integration; runs on Google Cloud Platform (GCP); emphasis on optimizing AI inference.

LATEST USERS

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USERS CHANGE

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FINANCIALS

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TRACTION

  • customers — 10000 count · as of September 27, 2025
    Join over 10,000 businesses creating together with Claid

FOUNDERS

Sofiia Shvets

Building Claid and Let’s Enhance; Forbes 30u30; previously at Google and Techstars.

PRODUCT–FOUNDER FIT

Sofiia publicly leads Claid/Let’s Enhance and focuses on e‑commerce visuals, aligning with Claid’s mission. She highlights multi‑year work in generative product photography ("Building generative AI since 2018"/"7+ years building AI") and actively runs client sessions and demos, fitting her background (Forbes 30u30; previously Google/Techstars) to the problem space.

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