CoreWeave
Customer support
Engineers manually pieced together context across tools. Now, AI agents in Slack surface data and suggest fixes instantly.
With numbers to prove it.
Explore all industriesEngineers manually pieced together context across tools. Now, AI agents in Slack surface data and suggest fixes instantly.
Engineers manually correlated alerts across systems. AI agents now diagnose issues and suggest fixes, cutting recovery time by 35%.
Surveys missed 95% of data and took weeks to analyze. AI now scans 100% of interactions, identifying churn risks in seconds.
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
Search data kept in RAM required unsustainable hardware. A managed vector DB slashed costs and freed engineers to build AI agents.
Deal prep consumed 4 hours of manual research. Connected to internal apps, Claude helps reps build full strategies in just 45 minutes.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
A sequential pipeline caused 7-second delays. A native speech-to-speech model cut latency to 800ms, enabling fluid, human-like dialogue.
Barcodes capped the app at 5 markets. Visual AI now identifies waste from photos, unlocking expansion to 170+ countries.
Development dragged for weeks on raw prototypes. Claude now turns ideas into polished, production-ready applications in hours.
Manual reviews bottlenecked onboarding for 28 days. A GenAI pipeline now rewrites and enriches catalogs in under 24 hours.
Users prompt for feelings, not camera angles. AI now translates intent into technical plans, driving a 150% increase in share velocity.