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AI-Powered Product Data Enrichment

At Anglera, we're developing a suite of AI agents to help e-commerce companies run their operations more efficiently. Our flagship agent helps our customers onboard, enrich, and manage their product data, reducing time per product from 15 mins down to 5 seconds. We previously developed ML to automatically enrich millions of products at Uber Eats, and we're now on a mission to automate the most common manual workflows for every e-commerce business.
Active Founders
Amay Aggarwal
Amay Aggarwal
Founder
Amay is the Co-Founder of Anglera. He graduated from Stanford with Bachelor's & Master's degrees, specializing in AI/ML. Previously, he led Catalog AI efforts to onboard, enrich, & standardize millions of products sold on Uber Eats.
Ray Iyer
Ray Iyer
Founder
Ray is the Co-Founder of Anglera. He graduated from Stanford with a BS and MS in Computer Science, specializing in Systems & AI. Previously, he launched the first CPG Ads products at Uber Eats, and worked in engineering roles at Meta, Verkada, & Microsoft.
Company Launches
Anglera: AI Product Data Enrichment
See original launch post

TLDR: Anglera is the foundational AI layer that transforms messy product data into structured, searchable, enriched content at scale.

🎥 See our AI agents in action: https://youtu.be/zlLaT-Uv9Xs


🔥 The Problem

While everyone's building AI apps, there's a massive infrastructure gap underneath: product data is broken at scale.

  • Poor Discoverability - 20% of searches return zero results due to missing/inconsistent information
  • Low Conversion - Data errors cause 23% loss in impressions and 14% drop in conversions
  • Slow Time-to-Market - Weeks of delays getting new products live due to manual data entry

Result: Billions in lost revenue from broken infrastructure.

The tech stack looks like this today:

Beautiful frontend shopping UI/UX
↓
Intelligent search & discovery algorithms
↓
Messy, unstructured product data ← ✨ We fix this

🧠 Our Approach

We've built AI agents that automatically transform any product data source into clean, structured, enriched content:

  • Input: Messy spreadsheets, PDFs, images, brand websites, supplier feeds
  • Output: Complete, enriched product catalogs, continuously optimized for AI discoverability
  • Scale: Process thousands of SKUs in seconds, not weeks.

🎯 Why Now?

Two massive shifts are happening simultaneously:

  1. AI Search Explosion: ChatGPT, Perplexity, and others are becoming primary product discovery channels
  2. Agentic Commerce: AI agents are starting to make purchases autonomously

🤝 The Founding Story

Amay and Ray - Stanford AI grads who lived this pain at Uber Eats scale:

  • Amay: Led Catalog AI, enriching millions of SKUs
  • Ray: Led CPG Ads, scaling product-driven ad campaigns

Now we're bringing that same level of sophistication to every retailer.


🔮 The Vision

Imagine a world where:

  • Every product is instantly discoverable by AI agents
  • Product information flows seamlessly between systems
  • New products go to market in hours, not months

🙏 Our Ask

We're looking for connections to:

  • Technical leaders at retailers/marketplaces dealing with product information challenges
  • AI shopping, search, or marketplace founders who might benefit from what we're building

- Amay, Ray & the Anglera Team

Website: www.anglera.com

Email: founders@anglera.com

Previous Launches
Turn complex product data into high-converting listings in seconds
Jobs at Anglera
San Francisco, CA, US
$125K - $160K
0.25% - 0.75%
1+ years
San Francisco, CA, US / Remote (US)
$100K - $150K
0.10% - 0.40%
3+ years
San Francisco, CA, US
$100K - $130K
1+ years
Anglera
Founded:2024
Batch:Summer 2024
Team Size:3
Status:
Active
Location:San Francisco
Primary Partner:Aaron Epstein