NovaSynth by Noveum: Comprehensive Pre-Production Testing for AI Voice and Chat Agents

Introduction

NovaSynth by Noveum is a specialized testing platform designed to rigorously evaluate AI voice and chat agents before they interact with real customers. Unlike traditional testing methods that rely on simulated scripts or isolated responses, NovaSynth dispatches synthetic users over real phone calls, live audio streams, and chat interfaces. This approach ensures that issues related to real-world chaos, network latency, audio quality, and unexpected user behaviors are found during rehearsal. This allows teams to validate fixes end-to-end before deployment.

Benefits

NovaSynth offers several key advantages over standard testing methods. It simulates real-world chaos by generating synthetic users with distinct personas, goals, moods, and accents. These synthetic users can act as frustrated repeat callers, rapid interrupters, or adversarial probes attempting to break safety boundaries. The platform also connects directly to real telephony and audio infrastructure, capturing actual network latency and audio anomalies that mocked transcripts cannot reveal. A critical feature is its tool virtualization architecture, which protects production systems during testing. Read operations are replayed to simulate data retrieval without hitting the live database, while write operations are sandboxed to ensure no changes affect production data. This allows teams to exercise decision logic and tool calls safely while verifying agent behavior.

Use Cases

NovaSynth is built for scale and integrates with a wide range of agent frameworks and LLM providers. It supports frameworks like Pipecat, LangChain, and LangGraph, as well as LLM SDKs from OpenAI and Anthropic. The platform supports both single-agent and multi-agent architectures. The testing workflow follows a closed-loop process where teams define a persona, configure a scenario, execute tests over live channels, and then score and trace every interaction. Every call is captured as a full trace and scored with over 30 voice AI metrics covering accuracy, relevance, coherence, safety, and bias. Teams can use this to identify root causes of failures and validate fixes in a safe environment. The scalable queue architecture allows hundreds of scenarios to run in parallel, supporting load testing up to 2,000 concurrent lines.

Pricing

NovaSynth operates on a unified credit system that covers testing, evaluation scoring, and analysis. Voice testing consumes 25 credits per minute, while text conversations consume 10 credits per conversation. The platform offers several plans to suit different needs. The Free plan costs $0 per month and includes 2,500 credits per month, 1 million spans, 2 GB of storage, and a 30-day retention period. The Pro plan is $69 per month and offers 10,000 credits, 20 GB of storage, and a 90-day retention period. The Growth plan costs $99 per month with 25,000 credits and 180-day retention. The Max plan is $199 per month and includes 50,000 credits and a one-year retention period. The Scale plan costs $599 per month and provides 200,000 credits with unlimited members and SSO support. The Enterprise plan requires contacting sales for pricing and offers unlimited credits and custom retention. Overages on paid plans are billed at $0.008 per credit.

Vibes

The article highlights that NovaSynth is an essential tool for AI developers, QA engineers, and product teams responsible for the quality and safety of conversational AI. By simulating real-world chaos and adversarial behaviors over live telephony and audio channels, it ensures that agents are robust, safe, and ready for production before they ever speak to a real customer. The platform shifts the focus from testing a handful of happy paths to systematically generating hundreds of synthetic users with edge cases. This comprehensive approach helps teams discover failures only after customer impact is avoided, ensuring a smoother deployment process.

Additional Information

The article does not provide specific details about funding, partnerships, or notable achievements beyond the product's capabilities and pricing structure. The focus remains on the technical features and benefits of the platform for testing AI voice and chat agents.