VoiceRun provides a code‑first platform that lets engineering teams build, test, and deploy voice AI agents using SDKs for Node, Python, and Java, with integrated telephony, real‑time observability, simulation, and A/B testing tools. The solution supports SaaS, private‑cloud, or on‑premise deployments and includes built‑in SOC 2 and HIPAA compliance artifacts for regulated enterprises.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises attempting to launch voice AI agents face three core obstacles: no‑code builders quickly hit limits on conversational logic, operational teams lack real‑time observability and debugging tools, and managing global telephony infrastructure incurs significant latency and compliance overhead. These constraints delay time‑to‑market and increase risk of production failures.
Solution
VoiceRun delivers a code‑first, full‑stack platform that lets engineering teams author voice agents with unrestricted business logic using familiar SDKs and API integrations. The platform embeds end‑to‑end telemetry, simulation environments, and A/B testing frameworks, enabling rapid detection and remediation of issues before production rollout. Deployment is abstracted across a managed cloud fleet or on‑premise environments, with one‑click global telephony provisioning and built‑in SOC 2 and HIPAA compliance artifacts. Integrated instrumentation captures call traces, latency metrics, and intent‑level analytics, feeding a unified dashboard for continuous performance monitoring. By coupling these capabilities with expert‑led war‑room support, VoiceRun shortens pilot cycles from weeks to days and ensures agents remain reliable at scale.
Target Audience
Primary customers are large enterprises and regulated sectors (e.g., finance, healthcare, telecommunications) that require production‑grade voice AI agents, as well as high‑growth startups seeking a secure, scalable foundation for voice‑first products.
Features
- Code‑first SDKs (Node, Python, Java) for defining voice flows, API calls, and custom ML models without platform lock‑in
- Built‑in telephony stack with SIP trunking, PSTN termination, and regional carrier routing for low‑latency global reach
- Real‑time observability suite: distributed tracing, call‑level logs, and KPI dashboards accessible via REST and Grafana plugins
- Automated simulation engine that generates synthetic conversations to stress‑test agents across thousands of parallel sessions
- A/B testing framework with statistical significance reporting for iterative dialog improvements
- Flexible deployment model supporting SaaS, private cloud, or on‑premise installations with zero‑downtime migration
- Enterprise security package including SOC 2 Type II, HIPAA‑ready data maps, encrypted at‑rest storage, and role‑based access control
- Integrated compliance toolkit delivering ready‑made security artifacts, data‑processing agreements, and audit logs