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.”
Financial Times's Content discovery is part of this use case:
Global news organization covering business, finance, and international affairs.
Multi-cloud developer data platform for building and scaling applications.
Related implementations across industries and use cases
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.
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.
Security fears fragmented AI usage. Now, clear guardrails and automated Slack nudges empower teams to accelerate design and code reviews.
Manually illustrating vintage assets would have tripled production time. Now, a 3-person team uses AI to generate and animate the visuals.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
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.”
Financial Times's Content discovery is part of this use case:
Global news organization covering business, finance, and international affairs.
Multi-cloud developer data platform for building and scaling applications.
Related implementations across industries and use cases
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.
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.
Security fears fragmented AI usage. Now, clear guardrails and automated Slack nudges empower teams to accelerate design and code reviews.
Manually illustrating vintage assets would have tripled production time. Now, a 3-person team uses AI to generate and animate the visuals.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.