Noveum — AI for Software Development

When building production AI agents, debugging failures usually means manually sifting through raw logs and disconnected traces to guess what broke. Noveum approaches this by creating a closed-loop evaluation workflow that turns sampled production runs into structured dataset items. You can apply specific checks from a library of published evaluators, run voice and text agent simulations, and use the platform's analysis engine to turn failure evidence into ranked recommendations. Because the platform meters operations through a unified credit system and bills per organization rather than per seat, teams can collaborate without per-user cost penalties as their tracing volume grows. The inclusion of flexible deployment models—ranging from managed cloud to Bring Your Own ClickHouse and on-premise options—gives you control over telemetry storage and data boundaries. However, you must carefully monitor your credit consumption and span limits, as usage hard-stops when limits are reached until you top up or upgrade your plan. Furthermore, features like SOC 2 Type II compliance are still in progress, which requires careful review if your organization has strict regulatory prerequisites before deployment.