AI use case
Generative AI search across specialized corpora — medical, scientific, financial — returning synthesized, cited answers instead of keyword hits.
33 case studies (+20% last year)
Every HCP response required manually searching regulated literature. Now agents surface cited answers from 3,100+ medical documents.
Generic search couldn't speak nuclear; answers buried in licensing docs. Purpose-built AI now surfaces them in seconds, traceable to source.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
A call that helped the pit could quietly hurt the port. GEMVIS unifies 50 siloed apps into one live view, in every tool teams use.
Scattered data made AI features impossible to build. Unifying it unlocked search that understands traveler intent, not just keywords.
Clinicians in physician-short settings waited 5 mins for answers. Now, offline AI in the clinic responds in 2 secs.
Context Windows Pro
Research and prioritise AI use cases with data that shows you what’s working. Upgrade now to unlock the full database.
54 case studies
Internal AI assistants that answer employee questions about IT, HR, policies, and workplace processes through conversational interfaces.
254 case studies
Company-wide AI productivity platforms — meeting summaries, document drafting, email management — deployed across entire organizations.
271 case studies
LLM-powered search across internal systems — Slack, SharePoint, wikis, databases — returning synthesized, cited answers instead of link lists. Also how support staff find the right answer while a customer is on the line.
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
Generative AI search across specialized corpora — medical, scientific, financial — returning synthesized, cited answers instead of keyword hits.
33 case studies (+20% last year)
Every HCP response required manually searching regulated literature. Now agents surface cited answers from 3,100+ medical documents.
Generic search couldn't speak nuclear; answers buried in licensing docs. Purpose-built AI now surfaces them in seconds, traceable to source.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
A call that helped the pit could quietly hurt the port. GEMVIS unifies 50 siloed apps into one live view, in every tool teams use.
Scattered data made AI features impossible to build. Unifying it unlocked search that understands traveler intent, not just keywords.
Clinicians in physician-short settings waited 5 mins for answers. Now, offline AI in the clinic responds in 2 secs.
Context Windows Pro
Research and prioritise AI use cases with data that shows you what’s working. Upgrade now to unlock the full database.
54 case studies
Internal AI assistants that answer employee questions about IT, HR, policies, and workplace processes through conversational interfaces.
254 case studies
Company-wide AI productivity platforms — meeting summaries, document drafting, email management — deployed across entire organizations.
271 case studies
LLM-powered search across internal systems — Slack, SharePoint, wikis, databases — returning synthesized, cited answers instead of link lists. Also how support staff find the right answer while a customer is on the line.
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