Keyword search missed context in 1M+ assets. Now, vector analysis runs directly at the source—launching hybrid search in 18 weeks.
A global business news organization serving over one million subscribers with an archive of more than one million content assets.
Time-strapped readers struggled to find relevant analysis on complex topics using traditional keyword search, which often missed context and meaning....
“From an architectural standpoint, it made a lot of sense to keep content searchable at [the] source rather than transferring it to an external search engine.”
Global news organization covering business, finance, and international affairs.
Multi-cloud developer data platform for building and scaling applications.
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Proprietary APIs offered zero control. Moving to managed open models secured 2-second answers and fixed pricing for news search.
Researching millions of articles took 30 minutes. An AI tool now retrieves facts, summaries, and angles in seconds.
Users sifted through 4,000-word reports for answers. Now, AI generates specific summaries with citations instantly.
Manual review slowed a viral Vogue contest. AI took over to moderate 56,000 entries, saving two weeks of editorial effort.
Sifting through 1,200 clips manually took hours. AI search now locates shots instantly, cutting production timelines by 30%.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.