Real-time AI apps need immediate responses, and we deliver sub-millisecond predictions. That means we can support the most time-sensitive operations, including fraud detection, dynamic pricing, and recommendation systems where fast decisions and responses are key.
We work seamlessly with top offline stores, like Tecton and Feast, to integrate into existing ML workflows. This streamlines data management by accessing, storing, and retrieving ML features directly and ensures smooth transitions between storage layers so apps work better and get to production faster.
Our five-nines availability and single-digit-second failover are crucial for mission-critical AI apps, delivering data consistency and uninterrupted operations, minimizing downtime, protecting data integrity, and maintaining smooth workflow continuity.
“It’s not just about putting in a food order. It’s about providing an optimal experience for our customers. It’s really, really fast. Plus it’s a lot cheaper.” 
Daniel Galinkin
Head of ML Engineering, iFood
<1ms
millisecond per read
“We also saw a 38% decrease in Redis latencies, helping to improve the runtime performance of serving models.” 
Arbaz Khan, DoorDash
38%
decrease in latency
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