AI use case
Platforms for deploying generative AI in production — model gateways, vector databases, evals, and observability for LLM and agent systems.
114 case studies (+92% last year)
Safety reads and high-volume writes fought for the same nodes. Milvus disaggregates them: 10B+ vectors, latency steady under load.
Elasticsearch kept every vector in RAM—cost-prohibitive at scale. One shared Milvus platform now runs 100+ workloads on 10B+ vectors.
Robotics labs capped at 6–7 training runs/day on desktop GPUs. Shared campus compute lifted that to 100+ runs daily.
Hundreds of keys, one invoice line, no owners. Giving each key a name and purpose surfaced a ghost workload and a caching fix within weeks.
Latency drift sent payer calls back to humans. Deepgram Nova-3 keeps voice agents on the line—claim numbers and policy codes captured clean.
Overtaxed servers left 13 legal models trailing as laws changed. AWS migration cut costs 40%, throughput up 170%, opened new markets.
Context Windows Pro
Research and prioritise AI use cases with data that shows you what’s working. Upgrade now to unlock the full database.
43 case studies
Security operations powered by LLMs and AI agents — natural-language alert triage, automated incident response, and AI-assisted vulnerability discovery.
172 case studies
AI tools that write, review, debug, and test software code — accelerating development cycles and modernizing legacy systems.
55 case studies
AI agents that engage website visitors and inbound prospects 24/7 — qualifying interest, scoring intent, and booking meetings with sales reps automatically.
Context Windows brings together case studies on what companies are doing with AI, from across the web. So you can prioritise what's already working.
Context Windows Pro
AI use case
Platforms for deploying generative AI in production — model gateways, vector databases, evals, and observability for LLM and agent systems.
114 case studies (+92% last year)
Safety reads and high-volume writes fought for the same nodes. Milvus disaggregates them: 10B+ vectors, latency steady under load.
Elasticsearch kept every vector in RAM—cost-prohibitive at scale. One shared Milvus platform now runs 100+ workloads on 10B+ vectors.
Robotics labs capped at 6–7 training runs/day on desktop GPUs. Shared campus compute lifted that to 100+ runs daily.
Hundreds of keys, one invoice line, no owners. Giving each key a name and purpose surfaced a ghost workload and a caching fix within weeks.
Latency drift sent payer calls back to humans. Deepgram Nova-3 keeps voice agents on the line—claim numbers and policy codes captured clean.
Overtaxed servers left 13 legal models trailing as laws changed. AWS migration cut costs 40%, throughput up 170%, opened new markets.
Context Windows Pro
Research and prioritise AI use cases with data that shows you what’s working. Upgrade now to unlock the full database.
43 case studies
Security operations powered by LLMs and AI agents — natural-language alert triage, automated incident response, and AI-assisted vulnerability discovery.
172 case studies
AI tools that write, review, debug, and test software code — accelerating development cycles and modernizing legacy systems.
55 case studies
AI agents that engage website visitors and inbound prospects 24/7 — qualifying interest, scoring intent, and booking meetings with sales reps automatically.
Context Windows brings together case studies on what companies are doing with AI, from across the web. So you can prioritise what's already working.
Context Windows Pro