Companies across industries are eager to implement voice AI for customer support, sales, and operations. The challenge lies not in their ambition but in execution.
While many teams can create impressive demos, they struggle to launch voice AI effectively in real-world settings. This is where VoiceRun (previously Prim AI) comes into play.
The Cambridge, Massachusetts-based startup has raised $5.5 million in seed funding to help enterprises deploy voice AI systems that actually work at scale. The round was led by Flybridge Capital Partners, with participation from RRE Ventures and Link Ventures.
“Voice AI is having a moment, yet many enterprise projects stall between an impressive demo and a dependable production rollout. 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,” said Nick Leonard, co-founder and CEO of VoiceRun.
Birth of VoiceRun
Founded by Nick Leonard and Chad Jaquays, VoiceRun is a developer-first platform for enterprise voice agents.
“My Co-Founder, Derek Caneja, and I were launching voice agents, AI that speaks and listens over the phone or in an app, when we realised that the way voice agents are designed and built was flawed,” says Nick to TFN.
According to Nick, no-code tools that allow users to create call-flow diagrams are popular but have limitations and often struggle to meet production-quality standards. As a result, companies that need high-quality solutions often build the software themselves, which takes a long time. Developers and businesses require better options.
“These two insights and a historical realisation gave us the inspiration for VoiceRun. There were great cars before the Model T, but vehicles didn’t become ubiquitous until the assembly line. There are great voice agents today, but they won’t be ubiquitous until the voice agent factory is built. VoiceRun is that factory,” continuous Nick.
Nick also explained that coding agents require a new platform to build top-tier voice agents, emphasising that it should be code-first. He noted that the platform must include infrastructure for deployment, testing, simulation, and evaluation specifically designed for AI use.
Additionally, it should be easy for developers to oversee and provide input. And thus VoiceRun was born!
The company’s platform is built for engineering teams that want to keep ownership of their application code while using shared infrastructure for speech-to-text, large language models, text-to-speech, telephony, and real-time performance management.
How VoiceRun helps enterprises ship faster?
VoiceRun says its platform helps teams move from months of custom infrastructure work to just days. It is designed around three main layers:
- Infrastructure and orchestration: Pluggable STT, LLM, and TTS pipelines, interruptable prompts and turn-taking, and one-click telephony. Deployment options include public cloud, a customer’s virtual private cloud (VPC), or on-premises to meet data and compliance requirements.
- Developer control. Standard Git and command line workflows with full code ownership. Teams can integrate internal APIs, transform data, and model complex logic without waiting on vendor roadmaps.
- Enterprise tooling. End-to-end telemetry, LLM-as-a-judge evaluations, and synthetic data generation for regression tests and targeted improvements that lift containment and accuracy over time.
VoiceRun is already used across sectors, including restaurant technology, insurance, banking, and telecommunications. Early deployments include phone ordering, reservations, contact centre triage, and lead qualification, where even small delays can hurt customer experience.
These are use cases where milliseconds matter and organisational controls often slow adoption. VoiceRun’s deployment flexibility, including VPC options and approved model lists, enables enterprises to operate within existing security and compliance requirements while delivering new voice experiences.
“VoiceRun took us from zero to production deployment in weeks,” said Chad Jaquays, COO and Co-Founder at Tivly. “Then their tooling and AI evaluations show us exactly what to improve each week, so accuracy and customer satisfaction keep climbing. They accelerated our AI transformation and gave us the comfort of security, compliance, and code ownership.”
