VoiceRun Launches Voice AI Platform with $5.5 Million Seed Round

VoiceRun, providers of a platform for voice artificial intelligence, has raised $5.5 million in seed funding from Flybridge Capital Partners, RRE Ventures, and Link Ventures to expand its voice AI solutions and go-to-market efforts .

With;85 percent of companies expected to use AI agents, VoiceRun is working with a code-first approach and a forward-deployed engineering model. Customers own their application-layer code, and VoiceRun provides the orchestration layer for speech-to-text, large language models (LLMs), and text-to-speech (TTS), turn-taking, telephony, and latency management, along with the tooling to continuously measure, iterate, and improve systems in real time.

"Voice AI is having a moment, yet many enterprise projects stall between an impressive demo and a dependable production rollout," said Nick Leonard, co-founder and CEO of VoiceRun, in a statement. "This seed round accelerates our work on the infrastructure that makes enterprise voice systems scalable and durable. We give teams code ownership, deployment flexibility, and deep observability so they can move fast, clear security reviews, and deliver production-ready solutions at scale."

"Voice is the best interface for many AI applications, but bringing these applications into production presents a paralyzing build vs. buy decision," said Chip Hazard, general partner and co-founder of Flybridge Capital Partners, in a statement. "VoiceRun offers the missing piece which empowers enterprises to build, govern, and scale world-class voice deployments."

The VoiceRun platform includes the following three core layers:

• Infrastructure and orchestration. Pluggable STT, LLM, and TTS pipelines, interruptable prompts and turn-taking, and one-click telephony. Deployment options include public cloud, virtual private cloud (VPC), or on-premises.
• Developer control. Standard Git and command line workflows with full code ownership.
• Enterprise tooling. End-to-end telemetry, LLM-as-a-judge evaluations, and synthetic data generation for regression tests and targeted improvements.