AI innovators report faster performance, greater reliability, and lower infrastructure costs by switching to Zilliz's fully managed vector database service.

Zilliz, creator of the world's most widely adopted open source vector database Milvus, shared how AI-first companies across industries are delivering faster, more reliable user experiences by adopting Zilliz Cloud. From conversational AI and healthcare intelligence to music generation, education, and AI companions, these companies are unlocking next-level performance with infrastructure purpose-built for vector search.

"As AI applications scale to millions of users, infrastructure becomes a make-or-break factor," said Chris Churilo, VP of Developer Relations and Marketing at Zilliz. "Our customers consistently report sub-10ms latency and fewer outages after switching to Zilliz Cloud — all while keeping costs low enough to reinvest in innovation, not infrastructure."

Real-World Results from AI-First Companies

Organizations implementing Zilliz Cloud are experiencing transformative performance improvements that directly impact their AI applications:

CX Genie: 2x Faster Queries with 24/7 Reliability for AI Chatbots

Singapore-based CX Genie doubled query performance after migrating to Zilliz Cloud, reducing latency to just 5–10ms across over 1 million embeddings. The team eliminated recurring downtime and improved global service reliability — critical for its always-on AI-powered customer support.

• Latency: 2× faster, now 5–10ms
• Uptime: Zero daily downtime
• Costs: 70% infrastructure savings

Beatoven.ai: Accelerated AI Music Generation at Scale

Beatoven.ai, an AI-powered music creation platform, shortened generation time by 2–3 seconds per track after adopting Zilliz Cloud — improving creative workflows for its 1.5 million+ users.

• Tracks: Over 6 million AI-generated
• Speed: 2–3s faster music creation
• Costs: 6× reduction in operational spend

Ivy.ai: Seamless Scaling for AI in Education

Ivy.ai powers AI chatbots for higher education and government institutions. As data volumes surged by 200%, Zilliz Cloud enabled them to maintain consistent response times without a single outage.

• Data growth: +200%
• Reliability: Zero outages
• Consistency: Stable response times at scale

Dopple.ai: Smarter AI Companions with Better Context Recall

Dopple Labs uses Zilliz Cloud to store and retrieve long-term memory embeddings for Dopple.ai, its virtual AI companion. By improving context awareness across conversations, Dopple now offers more natural, personalized interactions.

• Context: Improved memory across sessions
• Interactions: More personalized, human-like dialogue

EviMed: Improved Accuracy for Medical AI

EviMed, a medical AI platform, integrated Zilliz Cloud to manage 350M+ medical knowledge entries. They achieved better search accuracy and faster responses while cutting system costs.

• Accuracy: +10% in clinical search precision
• Speed: +8% faster responses
• Efficiency: 30% lower operational cost

Infrastructure That Accelerates AI Innovation

As vector search becomes foundational to LLMs, AI pipelines and applications, performance at the database layer is emerging as a key competitive advantage.

"Milliseconds saved in vector query time translate directly into more responsive and reliable AI," added Churilo. "And with reduced operational overhead, our customers can focus on building — not firefighting."

The results reported by Zilliz Cloud customers show that database infrastructure is no longer just backend plumbing — it's a core driver of AI performance, reliability, and cost-efficiency. As vector embeddings become central to AI workflows, organizations are turning to purpose-built infrastructure like Zilliz Cloud to support real-time applications at scale. The ability to deliver sub-10ms latency, reduce outages, and cut operational costs gives AI teams a powerful edge in a competitive market.