NovaSynth by Noveum

Product Introduction

1. Definition: NovaSynth by Noveum is a synthetic user simulation and evaluation platform for AI voice and chat agents. It is a pre-production testing tool that generates realistic, adversarial callers to stress-test agents before deployment.
2. Core Value Proposition: It exists to help developers and QA teams "break their agents before their customers do." The platform enables systematic, scalable testing of AI agents against real-world chaos—including interruptions, accents, background noise, and adversarial intent—using real telephony infrastructure, not mocked transcripts.

Main Features

1. Synthetic User Generation with Personas & Scenarios: The platform generates synthetic users with defined goals, moods, accents, and behaviors (e.g., "Frustrated repeat caller," "Rapid interrupter"). Scenarios are systematically created from agent context (prompts, PRDs, docs), not hand-authored, covering edge cases like prompt-injection attempts and language switching.
2. Real Telephony & Audio Integration: NovaSynth conducts tests over real SIP phone calls via providers like Twilio, Plivo, or Vobiz, and LiveKit real-time audio sessions. This ensures testing includes real network latency, audio codecs, and telephony events, providing a true-to-life performance assessment beyond text-based simulation.
3. Batch Matrix Runs & Concurrency Load Testing: Users can run a full combinatorial matrix of personas and scenarios under a shared batch ID for comprehensive coverage. The system supports concurrency scaling up to 2,000 concurrent lines, enabling both functional testing and high-load performance and stress testing of agent infrastructure.
4. Comprehensive Evaluation with 30+ Voice AI Metrics: Every synthetic interaction is captured as a full trace and scored across a suite of metrics. This includes LLM-judged scores for instruction adherence, hallucination, and sentiment, as well as computed audio metrics like latency, pronunciation clarity, Mean Opinion Score (MOS), and STT (Speech-to-Text) efficacy.
5. Tool Virtualization & Sandboxed Environment: To safely test agents that interact with external systems, NovaSynth virtualizes tool calls. Read operations are replayed from captured data, and write operations are sandboxed, allowing end-to-end validation of agent logic without impacting production databases or APIs.

Problems Solved

1. Pain Point: Traditional AI agent testing is limited to hand-written, static "happy path" scripts that quickly become outdated and fail to account for the unpredictability of real human interaction, leading to post-launch failures.
2. Target Audience: Engineering and QA teams building production AI voice agents (e.g., for customer support, sales, collections); Product Managers and ML Engineers responsible for agent performance and safety; DevOps/SRE teams concerned with scalability and reliability under load.
3. Use Cases: Validating a new voice agent before connecting it to a live phone number; conducting load testing to determine the maximum concurrent calls an agent infrastructure can handle; systematically probing for safety vulnerabilities like prompt injection; regression testing after any prompt or model change.

Unique Advantages

1. Differentiation: Unlike unit testing frameworks or simple chat simulators, NovaSynth uses real SIP telephony and generates dynamic, adversarial personas at scale. It moves beyond transcript evaluation to score the actual audio and full conversational journey, providing a holistic pre-production rehearsal environment.
2. Key Innovation: Its closed-loop "Find Cause & Fix" system (NovaPilot). After tests, it doesn't just report failures; it analyzes root causes across prompts, tools, and architecture, and provides specific, actionable recommendations (e.g., "remove this line from your prompt") which can be validated by re-running the same test batch.

Frequently Asked Questions (FAQ)

1. Does NovaSynth test live production AI agents? No, NovaSynth is a pre-production testing tool. It is designed to call your staging or development endpoints (test SIP numbers, staging environments). Post-production monitoring and evaluation of live agents is handled by a separate module within the Noveum platform.
2. How does NovaSynth connect to a custom AI agent architecture? For standard agents, connection is via SIP, LiveKit, or an HTTP endpoint for chat. For complex, multi-agent architectures (e.g., built on LangChain or custom frameworks), Noveum provides an SDK. A lightweight integration via pip install allows the platform to hook into your LLM calls and traces for accurate analysis and root cause diagnosis.
3. Can NovaSynth simulate realistic background noise and accents for voice agent testing? Yes. The platform allows you to add ambient noise profiles (e.g., traffic, cafe chatter) at controlled levels to any synthetic persona. Accents and regional dialects are defined within the persona's description, enabling testing of an agent's speech recognition and handling of diverse speech patterns.
4. What kind of metrics and scores does the platform provide? NovaSynth evaluates across 30+ voice-specific metrics, including audio quality (clarity, volume, MOS), conversational efficacy (sentiment, CSAT, task progression), and correctness (hallucination, instruction adherence). Users define pass/fail thresholds for each metric, and the system aggregates results to highlight critical failure patterns.
5. Is there an on-premise deployment option for NovaSynth? Yes. Noveum offers three deployment models: a cloud SaaS version, a hybrid model where you bring your own data plane (e.g., ClickHouse), and a full on-premise deployment where the evaluation engine runs on your own infrastructure, typically requiring a 30-45 day onboarding cycle for enterprise customers.