With numbers to prove it.
Explore all use casesRecruiting required deep farming expertise. A Gemini assistant now guides agents, letting the firm hire for trust, not technical skill.
Patent search crashed at 40M records. A serverless migration scaled capacity to 600M+ vectors with zero outages and ~$75k savings.
Attorneys juggled fragmented tools to search 50,000 cases. An AI orchestrator now routes queries to sub-agents in a single chat.
Search lagged over 1s during homework spikes. Moving to Zilliz Cloud cut latency 70%, delivering answers 5x faster.
Search data kept in RAM required unsustainable hardware. A managed vector DB slashed costs and freed engineers to build AI agents.
Manual reporting took 12 hours, leaving insights untapped. An AI agent now mines archives and maps safe routes in just 25 minutes.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Manual review missed details across hundreds of cases. AI now scans them simultaneously, finding critical insights humans couldn't spot.
Summaries took minutes. Moving to Groq cut latency to milliseconds and search costs by 10x.
Understand what's working with 2,873 recent AI case studies with quantified results. We break down every case study the same way, so you can find and prioritize high-impact strategies for your exact context.