With numbers to prove it.
Explore all industriesRepetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Static designs required manual coding. Now, teams turn pixels into working apps in 5 minutes, testing interactive flows instantly.
Voice lag created awkward clinical pauses. Caching common queries cut latency 4x and AI costs 70%.
Managing access for thousands was a manual drain. AI now predicts usage patterns to automatically lock down dormant data.
A non-coder needed complex backend architecture. An AI agent generated the full stack, launching a production platform in four months.
Engineers 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.
Triggering hundreds of calls at once caused lag. A low-latency model now supports 500+ simultaneous lines with instant reactivity.
Deal prep consumed 4 hours of manual research. Connected to internal apps, Claude helps reps build full strategies in just 45 minutes.
Search data kept in RAM required unsustainable hardware. A managed vector DB slashed costs and freed engineers to build AI agents.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
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