Bezel logo

Bezel

Digital AI humans that model clothes for e-commerce brands.

Winter 2025active2025Website
Generative AIMachine LearningMarketing
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Report from 24 days ago

What do they actually do

Bezel is a self-serve web app that turns garment photos or catalog items into photorealistic on‑model images and short videos, so brands can produce e‑commerce and ad assets without a studio shoot. Users upload or select products, choose an AI model (body type, skin tone, pose), generate, and download assets in common formats for product pages and ads Bezel homepage, YC profile.

They also offer an Ad Agent that creates persona‑targeted ad variants and evaluates them against predefined audience profiles to speed up creative iteration. Access is self‑serve with free and paid tiers that add higher credit limits and options like custom models and dedicated support Ad Agent, Bezel pricing.

Who are their target customer(s)

  • Small direct‑to‑consumer apparel brands (founder/ops): Limited budgets and time for repeated studio shoots, but need high‑quality on‑model photos and short videos for product pages and ads. Bezel replaces a shoot with upload→generate→download output Bezel homepage.
  • E‑commerce product/merchandising managers: Must produce consistent, accurate imagery across many SKUs and formats while dealing with logistics, model availability, and retouching bottlenecks. Bezel’s catalog→on‑model images/videos workflow targets this gap Bezel homepage.
  • Performance marketers and in‑house ad teams: Need many persona‑targeted ad variants quickly for A/B tests; studio/agency cycles are slow and costly. Ad Agent automates variant generation and persona scoring to accelerate creative iteration Ad Agent.
  • Creative agencies handling multiple apparel clients: High per‑shoot costs and long turnarounds when clients need many looks, body types, and platform formats. AI on‑model assets help deliver more variants without booking new shoots YC profile.
  • Large merchants / enterprise e‑commerce teams: Need bulk processing, catalog syncs, and brand‑safe, consistent output at scale; frequent shoots and vendors are operationally heavy. Bezel’s roadmap/pricing indicate custom models, integrations, and enterprise workflows to address this Bezel pricing, VideoSDK listing.

How would they acquire their first 10, 50, and 100 customers

  • First 10: Recruit founder‑run DTC brands and agencies from networks/Y Combinator contacts and run hands‑on pilots using free credits to replace one planned shoot, creating initial case studies Bezel pricing, Bezel homepage.
  • First 50: Target small Shopify stores and in‑house marketers with a discounted first month and persona‑targeted variants from Ad Agent; host weekly demos and capture time/cost savings as short case studies Bezel homepage, Ad Agent.
  • First 100: Scale via self‑serve content and listings, run paid ads using Bezel‑generated creatives, partner with a few agencies for resell/referrals, and open an enterprise pilot path (catalog syncs/priority support) to secure larger references Bezel homepage, Ad Agent, Bezel pricing.

What is the rough total addressable market

Top-down context:

Global apparel e‑commerce sales are estimated at ~$714.3B in 2024. Using a conservative 10% of revenue to marketing yields ~$71.4B annual marketing spend for online apparel Precedence Research, The CMO Survey—Fall 2024.

Bottom-up calculation:

Assuming 20–30% of apparel e‑commerce marketing goes to imagery/video/creative production implies ~$14.3B–$21.4B/year addressable spend for the asset types Bezel produces. Product‑photography services alone are a multi‑billion subset, per third‑party market research The CMO Survey—Fall 2024, DataHorizzon.

Assumptions:

  • 10% of apparel e‑commerce revenue goes to marketing (varies by brand/segment) The CMO Survey—Fall 2024.
  • 20–30% of marketing budgets fund creative/imagery/video production for e‑commerce campaigns.
  • Base apparel e‑commerce size uses Precedence Research’s 2024 estimate; other sources would scale TAM accordingly Precedence Research.

Who are some of their notable competitors

  • Lalaland.ai: AI‑generated fashion models for on‑model product imagery; a direct alternative to studio model shoots for e‑commerce product pages.
  • ZMO.ai: AI model generation and on‑model product photos for fashion e‑commerce, positioned to reduce photoshoot costs and speed catalog imagery.
  • Veesual.ai: On‑model and virtual try‑on imagery for apparel retailers, enabling consumers to see garments on diverse models and reducing new shoot needs.
  • Botika: AI fashion models and on‑model photo generation aimed at replacing traditional photoshoots for online stores.
  • Revery AI: AI try‑on and on‑model imagery tools for fashion retailers; focuses on realistic model renderings and conversion‑oriented visuals.