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.
Barcodes capped the app at 5 markets. Visual AI now identifies waste from photos, unlocking expansion to 170+ countries.
Pro-level posts intimidated casual fans. An AI diorama tool now turns snapshots into epic scenes, driving a 5x surge in active users.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
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.
Barcodes capped the app at 5 markets. Visual AI now identifies waste from photos, unlocking expansion to 170+ countries.
Pro-level posts intimidated casual fans. An AI diorama tool now turns snapshots into epic scenes, driving a 5x surge in active users.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.