We’re Building the Infrastructure for Voice.
Heybreez was built on a simple belief: voice should do more than respond. It should understand, act, and carry work forward.
Most voice platforms stop at generating a response. We built what runs underneath — the operational layer that handles retries, callbacks, branching journeys, and system integrations across every conversation.
A real-time voice infrastructure designed for production — combining low-latency streaming, precise turn-taking, and human-quality speech with orchestration, function execution, and retrieval across your systems.
The result is voice that does not just talk. It executes — reliably, at scale, and in real time.
Our Journey.
Foundation.
Started with a clear problem: voice AI could impress in a demo but could not carry real work forward. Began building a real-time operational layer designed for execution — not just conversation.
Core Runtime
Developed low-latency streaming, intelligent turn-taking, and multi-agent orchestration — the foundational capabilities that enable voice systems to operate reliably inside live, real-world conversations.
Execution Layer
Introduced function execution and deep system integrations. Voice systems could retrieve live data, trigger real actions, and complete full workflows — not just generate replies.
Scaling in Production
Optimized the platform for concurrency, reliability, and real-world traffic. Voice systems running thousands of simultaneous conversations in production — not controlled environments.
Pre-Seed Backing
Backed by early-stage investors to accelerate platform development and scale Heybreez into production deployments globally.
Real-Time Orchestration Engine
Shipped a fully orchestrated voice runtime — combining streaming, turn-taking, multi-agent coordination, function execution, retries, callbacks, and retrieval into a single unified system.
Meet the founder
Karim Malhas
CEO & Founder
Heybreez began with a clear problem: voice systems felt impressive, but they did not actually get work done. They could respond — but they could not execute.
That gap led to building something deeper — not another voice tool, but the infrastructure behind it. A real-time operational system that connects conversation with action and carries work forward long after the call ends.
What started as an idea is now a platform running in production — powering voice operations that handle real volume, real complexity, and real outcomes.
Partnered with
