Search relied on five rigid boxes for 30 years. Semantic AI now interprets natural language, boosting upgrade revenue up to 20%.
A global technology provider managing one of the world's largest travel data clouds with over 50 petabytes of data powering airline networks and agency terminals.
Travel search remained limited by rigid criteria like origin and destination for 30 years, while content was scattered across complex technical...
“People, especially those of the younger generations, get inspiration from social media and other online sources, and they want a more engaging travel planning experience.”
Travel technology provider for airlines, hotels, and travel agencies.
Worked with Sabre to automate the testing and validation of changes to its AI agents.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Sabre's Travel booking and service is part of this use case:
Related implementations across industries and use cases
127,000 monthly cases across languages and time zones. AI no longer just responds—it modifies bookings, waives fees, without human handoff.
Travelers manually mapped out zigzagging AI itineraries. Now, modular AI agents automatically build practical, route-optimized trip plans.
Authoring 10k tours monthly buried staff. AI now drafts titles and custom proposals, tripling efficiency and lifting order value 1.5x.
Guests spent 40 hours planning trips using rigid search menus. Now, AI matches natural language queries to live flights and loyalty data.
Researching millions of articles took 30 minutes. An AI tool now retrieves facts, summaries, and angles in seconds.
Manual prospecting across multiple tools delayed first contact. Now, an agent curates warm leads, so reps start their day ready to sell.
Endless phone tag bottlenecked 10,000 yearly hires. Now, AI screens and schedules via text, freeing managers for in-person interviews.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Search relied on five rigid boxes for 30 years. Semantic AI now interprets natural language, boosting upgrade revenue up to 20%.
A global technology provider managing one of the world's largest travel data clouds with over 50 petabytes of data powering airline networks and agency terminals.
Travel search remained limited by rigid criteria like origin and destination for 30 years, while content was scattered across complex technical...
“People, especially those of the younger generations, get inspiration from social media and other online sources, and they want a more engaging travel planning experience.”
Travel technology provider for airlines, hotels, and travel agencies.
Worked with Sabre to automate the testing and validation of changes to its AI agents.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Sabre's Travel booking and service is part of this use case:
Related implementations across industries and use cases
127,000 monthly cases across languages and time zones. AI no longer just responds—it modifies bookings, waives fees, without human handoff.
Travelers manually mapped out zigzagging AI itineraries. Now, modular AI agents automatically build practical, route-optimized trip plans.
Authoring 10k tours monthly buried staff. AI now drafts titles and custom proposals, tripling efficiency and lifting order value 1.5x.
Guests spent 40 hours planning trips using rigid search menus. Now, AI matches natural language queries to live flights and loyalty data.
Researching millions of articles took 30 minutes. An AI tool now retrieves facts, summaries, and angles in seconds.
Manual prospecting across multiple tools delayed first contact. Now, an agent curates warm leads, so reps start their day ready to sell.
Endless phone tag bottlenecked 10,000 yearly hires. Now, AI screens and schedules via text, freeing managers for in-person interviews.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.