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.
Elasticsearch treated creator vectors like log data, aging 400M+ to frozen storage, pushing search to 25s. A vector-native store fixed it.
Elasticsearch treated creator vectors like log data, aging 400M+ to frozen storage, pushing search to 25s. A vector-native store fixed it.
Per-image APIs were too costly for massive upload volumes. Meta's AI now isolates complex items, like white sneakers against white walls.
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.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
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.
Elasticsearch treated creator vectors like log data, aging 400M+ to frozen storage, pushing search to 25s. A vector-native store fixed it.
Elasticsearch treated creator vectors like log data, aging 400M+ to frozen storage, pushing search to 25s. A vector-native store fixed it.
Per-image APIs were too costly for massive upload volumes. Meta's AI now isolates complex items, like white sneakers against white walls.
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.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.