01 |KEY CHALLENGES
What they needed to solve
The technical and operational hurdles the team faced before adopting SurrealDB.
02 |SOLUTIONS
How SurrealDB helped
The architecture decisions and SurrealDB capabilities that addressed each challenge.
03 |RESULTS
The impact
Measurable outcomes delivered after moving to SurrealDB.
25%
ROI
Improved campaign ROI
Precise audience targeting increased ROI by 25%, saving millions in annual ad spend.
0.25
SECONDS
Faster decision-making
Query times were reduced from hours to seconds, allowing for real-time campaign adjustments.
30%
LOWER COSTS
Cost savings
Eliminated the need for multiple analytics platforms, cutting operational costs by 30%.
360°
VIEW
Enhanced customer insights
Unified data provided a 360-degree view of customers, enabling deeper personalisation and engagement.
MORE CASE STUDIES
See what other teams have shipped
From knowledge graphs to AI assistants - how enterprise teams are building on SurrealDB.
Unlocking insights with knowledge graphs
Samsung Ads uses SurrealDB to build dynamic, real-time knowledge graphs for smarter campaign execution - collapsing three legacy data stores into one.
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AI assistant empowering 10,000 technicians
Verizon uses SurrealDB to power a generative AI assistant for 10,000 field technicians, delivering instant access to documentation, outage updates, and workflows.
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Unified infrastructure monitoring
Tencent consolidated nine backend tools into one real-time monitoring platform powered by SurrealDB's multi-model context graph.
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High-performance customer service AI powered by RAG
PolyAI connects SurrealDB to Agent Studio for low-latency, customer-controlled RAG across voice AI experiences.
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AI-powered personalisation at massive scale
Saks Fifth Avenue uses SurrealDB's vector search and graph capabilities to deliver real-time, AI-powered personalisation across 5 million luxury customers and 45 million monthly product-recommendation queries.
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The unified data layer for AI. Unify data. Unlock intelligence. Scale anywhere.
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