Easelguard

Finds illustrators' artwork copied onto merch and ads, then files the notices

TL;DR Easelguard watches the web and Indian shopping sites for copies of an illustrator's published work, keeps dated proof of who posted it first and files takedown notices. Artists and small studios pay a monthly fee. It could work because copying is everywhere and chasing it alone is tedious.

The problem

India has over 2–2.5 million creators who earn from their content[1], and illustrators are among the easiest to copy. A drawing posted on social media can turn up on a T-shirt, a phone cover or a café menu within weeks.

We found no India-specific count of these cases. The global numbers give a sense of scale though - one monitoring service reports finding over 350 million matches of its users' images and handling over 250,000 infringement cases[2].

Most Indian artists never act on it, because finding copies, proving priority and writing notices eats hours they'd much rather spend drawing.

The idea

The seed wanted to record art on a blockchain and use AI to judge style. We dropped that. A chain records who minted a file, not who drew it, so anyone can mint a stolen image. Tokens would also be taxed as virtual digital assets at 30% with 1% TDS on each transfer[3]. And style itself isn't protected by copyright anyway.

Easelguard keeps the useful part. An artist connects a portfolio or social media account, and each work gets a dated fingerprint and, where the tools allow, Content Credentials, the open provenance standard backed by big software and tech firms[4]. Image matching then scans marketplaces, print-on-demand stores and social shops for copies. The artist reviews each match in one tap and picks ignore, ask for credit, offer a licence or take down. Easelguard drafts the notice and sends it to the platform's grievance officer with the evidence attached, and stubborn cases go to partner law firms.

Who pays

The user and the payer are the same people - freelance illustrators, comic artists and small design studios. Our assumption is a free tier for a few works and ₹399–999 a month for full portfolios.

Global rivals take a cut of settlements instead, and one charges 50% of what it recovers[2]. A licence fee from a small brand that used a design without asking is a second revenue line.

Why now

India's IT Rules 2021 require platforms to acknowledge user complaints within 24 hours and dispose of them within 15 days[5], so a well-formed notice does get read. Content Credentials have support from the big software and social companies[4], and image-matching models are now cheap to run at scale.

Market signal

There's no public figure for art infringement or monitoring spend in India. The firmest number is the base of over 2–2.5 million monetised creators[1], and nobody knows what share of them are illustrators.

As an adjacent signal, one global service says over 150,000 creatives across 120+ countries use its service[2], which shows artists will sign up when monitoring is free to start.

Who's already doing this

Global image-monitoring services[6] monitor images worldwide and chase settlements through law firms, but they're built for photographers and Western courts. C2PA tools label provenance but don't hunt for copies.

In India we found no service built around illustrators, Indian marketplaces and Indian notice rules. That gap is narrow, and the global players could fill it.

How hard is it?

Difficulty Moderate (37/100)
Starting capital ₹40–75 L
Time to launch 5–8 months

Matching is the easy part. The hard parts are crawling Indian shopping sites that block bots and keeping false matches low on stylised art, and then getting platforms to act on notices from a third party at all. Enforcement beyond notices needs lawyers, so the business leans on a good law-firm partner.

Licences and approvals

No sector licence here. You send notices for artists, you don't act as their lawyer, so the baseline plus a clear line on legal work is enough.

  • Copyright registration with the Copyright Office is optional for the artist, but it helps as evidence in court, so suggest it at onboarding[7].
  • IT Rules 2021 grievance process at each platform shapes how you file. Check the current timelines before promising any to artists[5].
  • No court representation. Anything beyond a notice goes to a partner law firm, from day one.
  • Company or LLP registration with the MCA before you sign your first client.
  • DPDP Act compliance before launch, since you hold artists' personal data and portfolio links[8].

Building this outside India? The categories above usually have a local equivalent, so check with your own regulator.

How AI can power this business

  • Image matching across stores. Scan print-on-demand shops, marketplaces and social shops for crops, recolours and mockups of an artist's work, which no one could do by hand.
  • Match ranking. Put the most likely copies, on the biggest sellers, at the top of the artist's review queue.
  • Notice drafting. Fill each platform's grievance form with the evidence and dates attached, so the artist only taps approve.
  • Repeat offender tracking. Link the same seller across stores and names, so one complaint covers several listings.

Don't trust AI to decide what counts as infringement. A similar style is not a copy, so the artist or a lawyer makes that call on every match.

Want to work out the AI layer for Easelguard? Talk to Yash →

Biggest risks

Here's what can go south -

  • Low willingness to pay. Many illustrators earn little and may stay on the free tier forever.
  • Platform friction. Marketplaces may ignore or slow-walk notices that do not come from the rights holder directly.
  • Global entry. A global image-monitoring service could add Indian marketplaces and undercut on price.

Our take

I think it's worth a look if you know the Indian illustration scene and can build image search. If you want a tokens business then skip it, because the chain adds cost and proves nothing.

Prove one thing first - that notices sent through Easelguard get at least half of copies removed within 15 days.

Questions founders ask

Download the kit

The free Easelguard validation kit has the line-by-line capital breakdown, the effort scoring, the copyright and platform-rules checklist, a 14-day validation sprint with pass/fail targets, a 90-day launch plan, 10 interview questions for illustrators and studios, and 5 assumptions to test. Download the kit →

Talk to Yash

Thinking about building Easelguard or something close to it? The make-or-break work is proving that notices get copies removed on Indian marketplaces, and I'm happy to help you test that. If you need a hand, you know where to find me. Talk to Yash →

Sources

  1. BCG, "From Content to Commerce: Mapping India's Creator Economy", 2025-05-03. https://www.bcg.com/publications/2025/india-from-content-to-commerce-mapping-indias-creator-economy
  2. Pixsy, official site, accessed 2026-10-21. https://www.pixsy.com/
  3. ClearTax, "Cryptocurrency taxation guide", accessed 2026-10-21. https://cleartax.in/s/cryptocurrency-taxation-guide
  4. C2PA, official site, accessed 2026-10-21. https://c2pa.org/
  5. Gazette of India, "Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021", G.S.R. 139(E), 2021-02-25. https://egazette.gov.in/WriteReadData/2021/225464.pdf
  6. Copytrack, official site, accessed 2026-10-21. https://www.copytrack.com/
  7. Copyright Office, "The Copyright Act, 1957", accessed 2026-10-21. https://copyright.gov.in/Documents/Copyright_Act_1957.pdf
  8. PRS Legislative Research, "Digital Personal Data Protection Bill 2023", 2023-08. https://prsindia.org/billtrack/digital-personal-data-protection-bill-2023

For illustration only. Names are fictional and ideas hypothetical; sourced facts are real but may be out of date. Nothing here is legal, financial or professional advice, and Yash Khatri is not personally liable for any use of it. Read the full disclaimer.

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