Indian Trademark Intelligence: The API Nobody Built

The Problem

Try searching for a trademark on IP India's official site. You'll experience:

• UI from 2005
• Constant 500 errors and timeouts
• CAPTCHA on every single search
• Results capped at 500
• No API access whatsoever
• Weak phonetic/similarity matching
• Data locked in scanned PDFs

This is a government service that businesses need daily — startups checking if their name is safe, lawyers doing clearance searches, brand agencies vetting new brands. Yet the infrastructure makes it nearly unusable.

The Data Source

The good news: all trademark data is public. The Trademark Journal is published weekly at search.ipindia.gov.in/IPOJournal/Journal/Trademark

Each journal entry contains:

• Application number
• Filing date
• Mark (word/device/composite)
• Nice Classification (1-45)
• Applicant name & address
• Attorney/agent
• Goods/services description
• Status

The Architecture

Weekly Journal PDFs
       ↓
PDF Parser (pdfplumber/pymupdf)
       ↓
OCR for device marks (Tesseract/Vision)
       ↓
Structured extraction (regex + LLM)
       ↓
PostgreSQL + Meilisearch
       ↓
REST API (for AI agents)

API Design (Camino Model)

The key insight: build for AI agents, not just humans. Like Camino did for location intelligence.

POST /api/v1/trademark/check
{
  "mark": "TechFlow",
  "classes": [9, 42],
  "type": "word"
}

Response:
{
  "available": false,
  "risk_score": 0.78,
  "conflicts": [
    {
      "mark": "TECHFLO",
      "similarity": 0.89,
      "class": 9,
      "status": "registered",
      "owner": "XYZ Technologies",
      "app_number": "5847291",
      "filed": "2024-03-15"
    }
  ],
  "phonetic_matches": 3,
  "recommendation": "High conflict risk in Class 9"
}

Core Endpoints

Competitive Landscape

The gap: Nobody offers an API. Nobody built for AI agents.

Monetization

Target Users

1. Startups — "Is my company name safe?"
2. Brand agencies — Client brand clearance
3. Law firms — Trademark prosecution support
4. AI agents — Automated brand validation in workflows
5. E-commerce platforms — Seller brand verification

Timeline to MVP

MVP in 4 weeks: Search + API + Basic conflict check

The Pattern

This follows the same pattern as dom.to(domain intelligence) and Camino(location intelligence):

1. Public data exists but is poorly accessible
2. Structure and index it properly
3. Build an API-first product
4. Target AI agents as primary users
5. Humans get a nice UI as a bonus

Open Questions

1. Legal: Is scraping/republishing journal data allowed? (Likely yes — public notice)
2. Device marks: How to handle logos? (Image embeddings for similarity)
3. Data freshness: Weekly journal + status polling for monitored marks