Enterprise-grade voice AI powered by Google Vertex AI. 377ms average latency instead of 1,578ms. Dedicated capacity, 99.9% uptime SLA, and automatic failover. Enabled by default.
Response Time
Per Minute
Uptime SLA
Monitoring
Measured production data from Gemini Live voice calls
Vertex AI (us-central1)
Default377ms
Google AI Studio
1578ms
Traditional STT→LLM→TTS
900ms
Standard API
1,578ms
Vertex AI
377ms
Improvement
76% Faster
Based on production measurements from Gemini Live 2.5 calls
The difference between natural and awkward conversations
Noticeable pause after each user turn
Users interrupt thinking AI is slow
Conversation feels robotic
Higher abandonment rates
Response feels instant, natural
Smooth interruption handling
Conversation flows like human-to-human
Higher customer satisfaction
Human conversational pause tolerance is ~200-400ms. Vertex AI keeps us in this range.
Production-ready voice AI at scale
377ms average latency compared to 1,578ms with standard Google AI Studio. Conversations flow naturally without perceptible delay.
No shared throttling or queue waiting. Your voice AI gets consistent performance even during traffic spikes.
Deploy in us-central1 for proven lowest latency. Additional regions available for data residency requirements.
Google Cloud's enterprise security with VPC, IAM, audit logs, and compliance certifications (SOC 2, HIPAA, ISO 27001).
If Vertex AI is unavailable, automatic fallback to Google AI Studio ensures zero downtime for your voice agents.
Per-call latency metrics, error tracking, and alerting. Know exactly how your voice AI performs.
Automatic routing to optimal infrastructure
Your Call
Edesy Platform
Vertex AI (Primary)
377ms
AI Studio (Fallback)
1,578ms
1. Call arrives
WebSocket or SIP
2. Route to Vertex
us-central1 by default
3. Auto-failover
If unavailable
Performance and enterprise features combined
Sub-second Responses
377ms feels instant to callers
Natural Conversations
No awkward processing pauses
Better Interruption
Fast enough for natural barge-in
Consistent Speed
Same latency under load
99.9% Uptime SLA
Google Cloud-backed guarantee
Compliance Ready
SOC 2, HIPAA, ISO 27001
Audit Logging
Track every API call
Dedicated Support
Enterprise SLA response times
For DevOps and technical teams
| Region | us-central1 (Iowa, USA) |
| Average Latency | 377ms (p50), 450ms (p95) |
| Authentication | Managed by Edesy (no user configuration needed) |
| Failover | Automatic to Google AI Studio |
| SLA | 99.9% (Google Cloud-backed) |
| Supported Models | Gemini Live 2.0, Gemini Live 2.5 HD |
| Compliance | SOC 2, ISO 27001, HIPAA (with BAA) |
| Configuration | Enabled by default, no setup required |
Real feedback from production deployments
"Switching to Vertex AI cut our average response time from 1.2 seconds to under 400ms. Customers stopped complaining about slow responses."
70% Latency Reduction
Mumbai
Engineering
"We handle 50,000+ calls daily. Vertex AI's dedicated capacity means consistent performance even during our peak hours."
50K+ Daily Calls
Bangalore
Tech Lead
"The automatic failover saved us during a Google Cloud incident. Our voice agents kept running without us even noticing."
Zero Downtime
Delhi NCR
CTO
Technical questions about our enterprise infrastructure
Vertex AI is Google Cloud's enterprise AI platform. Unlike the consumer-facing Google AI Studio, Vertex AI provides dedicated capacity, enterprise SLAs, and optimized infrastructure. For voice AI, this translates to 76% faster response times (377ms vs 1,578ms) and consistent performance even under heavy load.
Three factors: dedicated compute resources (no shared throttling), optimized routing within Google's network, and regional deployment close to users. The us-central1 region is specifically optimized for Gemini Live workloads.
Yes. All Gemini Live calls (both gemini-live and gemini-live-2.5) route through Vertex AI by default. No configuration required - you get the performance benefits automatically.
Automatic failover to Google AI Studio with zero configuration. Your voice agents continue working, just with slightly higher latency (1,578ms instead of 377ms). We monitor availability and route traffic automatically.
Currently, us-central1 is the primary supported region for Gemini Live 2.5. We've verified this delivers the lowest latency. Additional regions like asia-southeast1 (Singapore) are being evaluated as availability expands.
No. Edesy manages the Vertex AI infrastructure on your behalf. You don't need to configure Google Cloud, manage credentials, or handle billing separately. It's all included in your Edesy subscription.
Google Cloud's Vertex AI is compliant with SOC 1/2/3, ISO 27001, ISO 27017, ISO 27018, HIPAA (with BAA), PCI DSS, and more. For specific compliance requirements, contact our enterprise team.
We provide real-time latency metrics in your dashboard showing per-call latency breakdown, average response times, and percentile distributions. Enterprise customers get additional monitoring via custom alerting and API access to metrics.
Learn more about our voice AI infrastructure
Try Vertex AI-powered voice AI free. 377ms latency enabled by default.
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