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.
↑ SPEED
Lightning-fast launch
Delivered a production-grade platform in record time.
<100ms
Real-time at scale
Handles millions of writes with sub-100 ms latency.
UNIFIED
Single system simplicity
Eliminated separate vector, document, and graph stores.
↑ AGILITY
Flexible schema deployments
Rapid rollout of new sports markets with minimal overhead.
MORE CASE STUDIES
See what other teams have shipped
From knowledge graphs to AI assistants - how enterprise teams are building on the context layer.
Samsung
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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Verizon
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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Tencent
Unified infrastructure monitoring
Tencent consolidated nine backend tools into one real-time monitoring platform powered by SurrealDB's multi-model context graph.
Read case study
PolyAI
High-performance customer service AI powered by RAG
PolyAI connects SurrealDB to Agent Studio for low-latency, customer-controlled RAG across voice AI experiences.
Read case study
