Businesses across various sectors are earnestly pursuing the integration of voice AI for enhancing customer support, sales, and operational efficiency. However, the quandary stems not from ambition but rather from the complexities of execution.
While numerous teams are adept at creating captivating demonstrations, they encounter significant hurdles when attempting to implement voice AI effectively within real-world environments. This is where VoiceRun, formerly known as Prim AI, steps in.
The startup, headquartered in Cambridge, Massachusetts, has successfully garnered $5.5 million in seed funding aimed at aiding enterprises in the successful deployment of scalable voice AI systems. The funding round was spearheaded by Flybridge Capital Partners, with additional investments from RRE Ventures and Link Ventures.
“Voice AI is currently in the spotlight; however, many enterprise initiatives falter between an impressive demo and a reliable production rollout. This seed capital will expedite the development of the infrastructure necessary for making enterprise voice systems both scalable and resilient.
We provide teams with code ownership, deployment flexibility, and comprehensive observability, enabling them to expedite processes, navigate security reviews, and deliver production-ready solutions efficiently,” stated Nick Leonard, Co-Founder and CEO of VoiceRun.
Inception of VoiceRun
Co-founded by Nick Leonard and Chad Jaquays, VoiceRun serves as a developer-centric platform for enterprise voice agents.
“My co-founder, Derek Caneja, and I were in the process of launching voice agents—AI capable of conversing via phone or applications—when we recognized inherent flaws in the existing design and construction methods of voice agents,” conveyed Nick in an interview with TFN.
Nick emphasized that while no-code tools enabling users to craft call-flow diagrams are in high demand, they possess limitations and frequently fail to meet production quality standards.
Consequently, organizations requiring high-quality solutions often resort to in-house software development, a time-consuming endeavor. Developers and businesses, therefore, necessitate superior options.
“These dual insights, coupled with a historical perspective, ignited the conception of VoiceRun. Just as remarkable automobiles existed prior to the Model T, vehicles only achieved ubiquity once the assembly line was introduced.
Presently, exceptional voice agents exist, but they will not achieve widespread adoption until the infrastructure for voice agent production is established. VoiceRun embodies that framework,” Nick elaborated.
He further articulated that the process of coding agents mandates a novel platform that prioritizes a code-first philosophy. This platform must incorporate infrastructure for deployment, testing, simulation, and evaluation tailored specifically for AI applications.
Moreover, it’s imperative that developers can easily oversee and contribute. Thus, VoiceRun emerged into existence!
The company’s platform is meticulously designed for engineering teams that wish to retain ownership of their application code while utilizing shared infrastructure, encompassing speech-to-text, large language models, text-to-speech, telephony, and real-time performance management.
Facilitating Swift Deployment with VoiceRun
VoiceRun asserts that its platform expedites the transition from protracted custom infrastructure efforts to mere days. The design is structured around three principal layers:
- Infrastructure and Orchestration: Pluggable pipelines for STT, LLM, and TTS, alongside interruptible prompts and seamless turn-taking; deployment options include public cloud, customer-specific virtual private clouds (VPCs), or on-premises setups that cater to data and compliance prerequisites.
- Developer Control: Standardized Git and command line workflows granting complete code ownership. Teams have the ability to integrate internal APIs, manipulate data, and construct complex logic without awaiting vendor timelines.
- Enterprise Tooling: Comprehensive telemetry, LLM-based evaluations, and synthetic data generation for regression tests and targeted enhancements that progressively improve accuracy and reliability.
VoiceRun has gained traction across various sectors, including restaurant technology, insurance, banking, and telecommunications. Initial applications encompass phone ordering, reservations, contact center triage, and lead qualification—domains where even minute delays can adversely affect customer satisfaction.
These scenarios are pivotal, where milliseconds are crucial, yet organizational procedures frequently impede swift adoption.
VoiceRun’s versatile deployment options, including VPC configurations and approved model lists, empower enterprises to function within established security and compliance frameworks while fostering innovative voice experiences.
“VoiceRun facilitated our journey from zero to production deployment in mere weeks,” stated Chad Jaquays, COO and Co-Founder of Tivly.
“Their tools and AI evaluations provide precise insights for improvements each week, resulting in enhanced accuracy and customer satisfaction. They have notably expedited our AI transformation while ensuring security, compliance, and code ownership.”
Source link: Techfundingnews.com.
