Designers manually browsed thousands of files to find assets. Now, AI lets them locate components via text or screenshots.
A collaborative design platform serving millions of users from startups to Fortune 500 corporations, helping teams manage the entire product development lifecycle.
Users struggled to find specific design components, often manually browsing through thousands of files to locate assets. The company's existing...
“Figma is focused on how AI can empower designers and builders. Config—our annual flagship conference—is one of our main opportunities during the year to show customers what we’ve been building.”
Collaborative web-based platform for interface design and prototyping.
Cloud computing platform and on-demand infrastructure services.
Figma's Design component search is part of this use case:
Related implementations across industries and use cases
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Each team built its own stack; every request reprocessed thousands of images. A shared platform with precomputed embeddings cut latency 44x.
Elasticsearch treated creator vectors like log data, aging 400M+ to frozen storage, pushing search to 25s. A vector-native store fixed it.
Daily updates delayed new content. A unified database now runs twice-daily refreshes with zero downtime.
Admins got the alert but not the answer—four fragmented systems to comb for hours. An AI agent now delivers root cause and fix in minutes.
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.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Designers manually browsed thousands of files to find assets. Now, AI lets them locate components via text or screenshots.
A collaborative design platform serving millions of users from startups to Fortune 500 corporations, helping teams manage the entire product development lifecycle.
Users struggled to find specific design components, often manually browsing through thousands of files to locate assets. The company's existing...
“Figma is focused on how AI can empower designers and builders. Config—our annual flagship conference—is one of our main opportunities during the year to show customers what we’ve been building.”
Collaborative web-based platform for interface design and prototyping.
Cloud computing platform and on-demand infrastructure services.
Figma's Design component search is part of this use case:
Related implementations across industries and use cases
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Each team built its own stack; every request reprocessed thousands of images. A shared platform with precomputed embeddings cut latency 44x.
Elasticsearch treated creator vectors like log data, aging 400M+ to frozen storage, pushing search to 25s. A vector-native store fixed it.
Daily updates delayed new content. A unified database now runs twice-daily refreshes with zero downtime.
Admins got the alert but not the answer—four fragmented systems to comb for hours. An AI agent now delivers root cause and fix in minutes.
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.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.