Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
A visual search and discovery platform serving 600 million monthly active users and managing over 500 petabytes of data.
Scaling to hundreds of millions of users created immense pressure to maintain a safe and inspirational environment. Traditional engagement algorithms...
“For over a decade, we've been leveraging AI to craft a uniquely positive online experience, striving to make every moment on Pinterest additive, not addictive.”
Visual discovery engine for recipes, home inspiration, and style ideas.
Cloud computing platform and on-demand infrastructure services.
Pinterest's Visual search and discovery is part of this use case:
Related implementations across industries and use cases
Designers manually browsed thousands of files to find assets. Now, AI lets them locate components via text or screenshots.
Raw pace and power data overwhelmed users. AI now turns millions of daily uploads into instant, encouraging performance insights.
Messy ingredient data broke text search, capping matches at 20%. AI semantic search now maps free-form inputs to unlock recipe imports.
Per-image APIs were too costly for massive upload volumes. Meta's AI now isolates complex items, like white sneakers against white walls.
With 60 partners, data standards didn't exist. AI now standardizes 1.5M images and matches text queries to inventory.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Scale disadvantages slowed operations. Now, a voice AI concierge handles routine queries while internal GPTs speed up coding and HR.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
A visual search and discovery platform serving 600 million monthly active users and managing over 500 petabytes of data.
Scaling to hundreds of millions of users created immense pressure to maintain a safe and inspirational environment. Traditional engagement algorithms...
“For over a decade, we've been leveraging AI to craft a uniquely positive online experience, striving to make every moment on Pinterest additive, not addictive.”
Visual discovery engine for recipes, home inspiration, and style ideas.
Cloud computing platform and on-demand infrastructure services.
Pinterest's Visual search and discovery is part of this use case:
Related implementations across industries and use cases
Designers manually browsed thousands of files to find assets. Now, AI lets them locate components via text or screenshots.
Raw pace and power data overwhelmed users. AI now turns millions of daily uploads into instant, encouraging performance insights.
Messy ingredient data broke text search, capping matches at 20%. AI semantic search now maps free-form inputs to unlock recipe imports.
Per-image APIs were too costly for massive upload volumes. Meta's AI now isolates complex items, like white sneakers against white walls.
With 60 partners, data standards didn't exist. AI now standardizes 1.5M images and matches text queries to inventory.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Scale disadvantages slowed operations. Now, a voice AI concierge handles routine queries while internal GPTs speed up coding and HR.