Partnering with Kahea AI to Power Next-Generation Voice Infrastructure

We're excited to announce our partnership with Kahea AI, delivering enterprise-grade VoIP load balancing and multi-cloud orchestration for conversational AI at scale

·3 min read
Cover Image for Partnering with Kahea AI to Power Next-Generation Voice Infrastructure

Blazing Core Powers Kahea AI's Conversational Platform

We're thrilled to announce our partnership with Kahea AI, a pioneering force in conversational AI and intelligent IVR systems. Kahea AI has chosen Blazing Core to power their mission-critical voice infrastructure, handling thousands of concurrent calls with enterprise-grade reliability.

The Challenge: Voice Infrastructure at Scale

Voice applications demand infrastructure that traditional cloud platforms struggle to deliver. Every millisecond of latency impacts customer experience. Any service disruption means dropped calls and frustrated users. As Kahea AI scaled their conversational AI platform to handle enterprise customers, they needed:

  • Sub-50ms latency for real-time voice processing
  • 99.99% uptime with automatic failover
  • Geographic distribution to minimize latency worldwide
  • Cost optimization without compromising reliability

The Solution: Multi-Cloud VoIP Load Balancing

Kahea AI deployed Blazing Core to orchestrate their VoIP infrastructure across multiple cloud providers:

Intelligent Load Balancing

Blazing Core's VoIP load balancer automatically routes voice traffic based on:

  • Geographic proximity to minimize latency
  • Real-time health checks and automatic failover
  • Load distribution across multiple regions
  • SIP and RTP protocol optimization

Multi-Cloud Architecture

The platform leverages:

  • GCP for primary production workloads with enterprise reliability
  • DFC (Digital Frontier Cloud) for cost-optimized regional capacity
  • Akash Network for decentralized burst capacity during peak loads

Service Mesh Networking

HashiCorp Consul provides:

  • Automatic mTLS between all services
  • Service discovery across regions
  • Traffic management and circuit breaking
  • Observability and distributed tracing

The Results

Since deploying Blazing Core, Kahea AI has achieved:

  • 99.99% uptime with automatic failover across regions
  • <50ms average latency through intelligent geographic routing
  • 60% infrastructure cost reduction via multi-cloud optimization
  • 5x faster deployment from days to hours for new regions

What This Means for Voice Applications

This partnership demonstrates Blazing Core's capability to handle the most demanding real-time workloads. Voice infrastructure requires:

  • Consistent low latency - any spike disrupts conversations
  • High availability - no room for downtime during business hours
  • Global distribution - users expect local performance everywhere
  • Cost efficiency - voice traffic volumes can be expensive

Blazing Core delivers on all fronts, making enterprise-grade voice infrastructure accessible to companies of any size.

Looking Forward

We're excited to see how Kahea AI continues to push the boundaries of conversational AI. Their success validates our vision for multi-cloud orchestration that doesn't compromise on performance, reliability, or cost.

If your team is building voice applications, real-time services, or any latency-sensitive workload, we'd love to show you how Blazing Core can help.

Read the full Kahea AI case study →

Get started with Blazing Core →


About Kahea AI

Kahea AI revolutionizes how businesses interact with customers through voice. Their cutting-edge conversational AI platform powers sophisticated IVR systems that understand natural language, handle complex queries, and deliver personalized experiences at scale.

About Blazing Core

Blazing Core is a multi-tenant edge compute platform that provides intelligent workload placement across multiple cloud providers with built-in service mesh networking. Deploy containerized workloads across GCP, DFC, and Akash Network with automatic failover, load balancing, and cost optimization.


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