Noveum

Noveum is a production evaluation platform for chat, voice, and workflow agents. It is best suited to teams that need to trace agent activity, evaluate performance, and validate proposed fixes in a connected process. Its strongest case is that end-to-end workflow; teams should weigh it against the plan limits and deployment requirements they have.

Overview

Noveum combines tracing, evaluation, and fix validation. NovaTrace captures model calls, tool use, retrieval, and agent steps, with token usage, cost, and latency attached to spans. NovaEval scores traces across more than 15 categories, including voice and audio. NovaPilot backtests candidate fixes against failing calls, re-simulates them end to end, then submits validated fixes as pull requests for human review.

That combination is useful when a team wants to move from diagnosing agent failures to assessing and reviewing corrections without separating those steps across tools. It is not the right choice for teams whose immediate priority is runtime guardrails: NovaGuard is still beta or coming soon.

Key features

Tracing and evaluation

Native tracing integrations cover LangChain, LangGraph, LiveKit, Pipecat, and CrewAI, with compatibility also listed for OpenAI, Anthropic, and OpenTelemetry. Open-source tracing SDKs support Python and TypeScript. This gives teams building across text, voice, and multi-agent systems several ways to connect their stacks, while the span-level token, cost, and latency data helps make operational trade-offs visible.

NovaEval's calibrated scorers cover a broad range of evaluation categories, and its voice and audio suite is relevant to teams operating spoken agents. Noveum also supports tool-call checks, safety evaluations, and regression runs. Teams that only need a local test runner may find a more focused fit in an open-source evaluation framework.

Fix validation and deployment

NovaPilot tests fixes against actual failing calls and replays the full interaction before packaging validated changes as pull requests. Human review remains part of the process, which suits teams that want a controlled path from failure analysis to code changes rather than automatic deployment.

Deployment options include managed cloud, VPC, BYO ClickHouse, and on-premise, with Kubernetes and Helm options also described. That range can serve organizations with different infrastructure needs, but deployment choice should be weighed alongside plan eligibility and security requirements. GDPR and SOC 2 Type II are in progress; enterprise deployments include encryption in transit and at rest and fine-grained access controls. SSO/SAML is specified for Scale and above.

Pricing

Noveum has a free plan, paid monthly plans, and one-time add-on credit packs. The monthly plan credits reset each billing cycle and do not roll over; purchased add-on credits never expire. That distinction matters for uneven workloads: a pack can preserve unused credits, while a monthly allocation cannot. Growth and above include priority support, and Enterprise adds dedicated customer success.

Free is a useful entry point for a small team, but its three-member cap, 1M-span allowance, and 30-day retention limit how much production history it can hold. Pro is the first paid monthly tier and includes a 7-day trial; Growth and Max raise capacity, team size, and retention for larger or longer-running workloads. Scale substantially expands those allowances and supports unlimited members, while Enterprise is the fit for organizations that need custom retention or unlimited capacity. The one-time packs add credits without expiry, but do not replace the span, storage, member, or retention limits of a monthly plan.

Platforms

Noveum supports API, Linux, self-hosted, and web use. Python and TypeScript tracing SDKs and Kubernetes and Helm deployment options are relevant for engineering teams integrating the service into their infrastructure.

Who it's for

Noveum is aimed at teams operating production chatbots, voice agents, and multi-agent workflows. It makes the most sense when trace visibility, structured evaluation, and human-reviewed fix validation belong in the same workflow. Teams with small workloads can start on Free; teams with higher volumes, longer retention needs, or larger membership should compare the paid plan caps against their expected usage. It is a weaker fit for buyers who need runtime guardrails immediately or only want a free local evaluation runner.

Pros and cons

• Connected failure-to-fix workflow: tracing, scoring, and backtesting converge on reviewable pull requests, helping teams evaluate proposed corrections in context.
• Voice coverage: the evaluation suite includes voice and audio, while native integrations include LiveKit and Pipecat.
• Deployment flexibility: managed cloud, VPC, BYO ClickHouse, and on-premise options accommodate different infrastructure preferences.
• Free tier has tight operating limits: 2.5K credits, 1M spans, 2 GB storage, three members, and 30-day retention may constrain production use.
• Monthly credits expire at the cycle boundary: teams with variable demand cannot carry unused plan credits forward.
• Guardrails are not ready: NovaGuard remains beta or coming soon, so it should not be the reason to choose Noveum for current runtime protection.
• Security milestones remain in progress: GDPR and SOC 2 Type II are in progress, although enterprise deployments include encryption and fine-grained access controls.

Alternatives

AI Agent Evaluation Tools is the category list for comparing more options.

• Future AGI AI Evaluation SDK is worth considering for teams that prioritize Apache 2.0 licensing and self-hosting options through Docker, Python, and Node SDKs.
• W&B Weave is an alternative for teams seeking a free starting tier with AI application evaluations, tracing, and scorers, plus stated ingestion and storage allowances.
• DeepEval suits teams looking for a free, Apache 2.0-licensed LLM evaluation framework that runs locally or in CI/CD.
• Promptfoo may fit teams wanting a free community tier with evaluation features, provider integrations, local or self-hosted operation, and 10k red-team probes per month.
• Opik is an alternative when running open-source observability and evaluation locally is a priority.
• Strands Evals is a free open-source Python SDK and CLI option for teams that prefer an installable evaluation toolkit.
• AgentClash is an alternative for teams whose needs fit its free tier of one workspace and 25 evaluation runs per month.
• Arklex is another free option.

Verdict

Choose Noveum if your team operates production agents and wants tracing, broad evaluation, and human-reviewed fix validation in one platform, particularly for voice or multi-agent workflows. Its deployment range and expiring-versus-non-expiring credit options add flexibility, but the free tier is limited and monthly credits do not roll over. Look elsewhere if you need runtime guardrails now, a local-only evaluation runner, or a plan whose credits carry forward.