VoiceRun secured $5.5 million in seed funding to accelerate enterprise voice AI deployments beyond pilot stages. The Cambridge-based startup announced the round on January 14, 2026, led by Flybridge Capital Partners with participation from RRE Ventures and Link Ventures.
The full-stack voice AI platform targets the enterprise market as 85% of enterprises are expected to use AI agents by the end of 2025. VoiceRun's code-first approach gives technical teams deployment flexibility while maintaining control over application-layer code.
"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. The funding will expand the company's go-to-market efforts and platform development for production-scale deployments.
VoiceRun provides orchestration infrastructure for speech-to-text, large language models, and text-to-speech pipelines. The platform handles turn-taking, telephony integration, and latency management while customers retain ownership of their application code.
Early deployments span restaurant technology, insurance, banking, and telecommunications sectors. Use cases include phone ordering systems, contact center triage, and lead qualification where milliseconds matter for customer experience.
The platform offers three deployment options: public cloud, virtual private clouds, and on-premises installations. This flexibility addresses enterprise security and compliance requirements that often slow AI adoption.
"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 at Flybridge Capital Partners. "VoiceRun offers the missing piece which empowers enterprises to build, govern and scale world-class voice deployments."
VoiceRun emerged from Link Studio, a division of Link Ventures, and was previously known as Prim AI. The company's forward-deployed engineering model enables technical teams to ship voice AI agents rapidly without surrendering control.
The platform includes enterprise-grade tooling for LLM-as-a-judge evaluations, telemetry, and synthetic data generation. These tools help companies identify improvement areas and conduct regression testing for continuous system enhancement.
Customer Tivly reported moving from zero to production deployment in weeks using VoiceRun's infrastructure. The platform's evaluation tools provide weekly insights for accuracy and customer satisfaction improvements while maintaining security and compliance standards.
VoiceRun's approach addresses the enterprise challenge of moving from voice AI demonstrations to reliable production systems. With most organizations planning AI agent adoption, the platform positions itself as infrastructure for scalable, governed voice deployments. The funding comes as other AI startups like cybersecurity firm Torq have also secured significant venture capital, highlighting continued investor interest in enterprise AI solutions.
