Mediahuis
News archive search
Researching millions of articles took 30 minutes. An AI tool now retrieves facts, summaries, and angles in seconds.
- Research time cut from 30 mins to seconds
- AI search tool operational in 6 months
Proprietary APIs offered zero control. Moving to managed open models secured 2-second answers and fixed pricing for news search.
A major American news publisher serving millions of users with award-winning journalism and deeply sourced reporting.
The organization wanted to launch a public-facing Q&A tool but found proprietary APIs offered zero control and unpredictable costs. Self-hosting...
“Together AI's flexibility in creating customized configurations for our journalism use case has been invaluable to our success.”
Major daily newspaper and digital media organization for global news.
AI-native cloud platform for training, fine-tuning, and deploying open-source models.
Related implementations across industries and use cases
Researching millions of articles took 30 minutes. An AI tool now retrieves facts, summaries, and angles in seconds.
Keyword search missed context in 1M+ assets. Now, vector analysis runs directly at the source—launching hybrid search in 18 weeks.
Readers hit dead ends with rigid search. Conversational AI now connects topics, boosting monthly searches from 30k to 500k.
Editors relied on memory to analyze live fights. Now, AI agents mine history instantly, fueling broadcasts with deep, real-time context.
Single-step workflows failed at deep research. Autonomous agents now run parallel investigations to deliver structured data in seconds.
Teams manually reviewed tens of thousands of creatives image-by-image. Now, AI vision models verify policy compliance instantly.
Manually illustrating vintage assets would have tripled production time. Now, a 3-person team uses AI to generate and animate the visuals.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
Proprietary APIs offered zero control. Moving to managed open models secured 2-second answers and fixed pricing for news search.
A major American news publisher serving millions of users with award-winning journalism and deeply sourced reporting.
The organization wanted to launch a public-facing Q&A tool but found proprietary APIs offered zero control and unpredictable costs. Self-hosting...
“Together AI's flexibility in creating customized configurations for our journalism use case has been invaluable to our success.”
Major daily newspaper and digital media organization for global news.
AI-native cloud platform for training, fine-tuning, and deploying open-source models.
Related implementations across industries and use cases
Researching millions of articles took 30 minutes. An AI tool now retrieves facts, summaries, and angles in seconds.
Keyword search missed context in 1M+ assets. Now, vector analysis runs directly at the source—launching hybrid search in 18 weeks.
Readers hit dead ends with rigid search. Conversational AI now connects topics, boosting monthly searches from 30k to 500k.
Editors relied on memory to analyze live fights. Now, AI agents mine history instantly, fueling broadcasts with deep, real-time context.
Single-step workflows failed at deep research. Autonomous agents now run parallel investigations to deliver structured data in seconds.
Teams manually reviewed tens of thousands of creatives image-by-image. Now, AI vision models verify policy compliance instantly.
Manually illustrating vintage assets would have tripled production time. Now, a 3-person team uses AI to generate and animate the visuals.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.