Confident AI vs Noveum AI: does your team need to test AI quality, or does your AI need to fix itself?
Confident AI is where AI engineering teams test before they ship. Noveum is what you need once you have it. Automated production scoring, voice pipeline evaluation, and fix reports that land in your IDE before your team even opens a ticket.
Best for teams shipping AI agents in production who need continuous automated evaluation, voice pipeline scoring, and fix reports generated automatically, not just test results to act on manually.
Best for teams that want structured pre-production testing, CI/CD quality gates, a widely adopted open-source eval framework, and compliance-grade governance tools.
Which tool is right for you?
Confident AI is already on your team. Noveum is what watches your agent after you ship it.
Noveum is built for teams running agents in production. You connect your stack, and 100+ scorers run on every trace automatically, covering hallucination, faithfulness, RAG quality, tool-calling accuracy, safety, and voice pipeline performance. When something breaks, NovaPilot identifies the root cause, groups the failure patterns, and hands your engineers a structured fix report ready to use in their IDE. No manual review queues. No annotation sprints. No debugging sessions that stretch into days.
Where Noveum goes further
Three things your CI/CD pipeline can't cover once your agent is live
Your next bug should come with its own fix attached.
Noveum's NovaPilot reads every failure pattern, groups root causes, and generates a structured improvement report covering your prompts, tool calls, and workflow logic. Your engineers get a developer-ready document they can act on immediately in their IDE. Confident AI gives you detailed visibility into what failed and where. From there, your team opens a ticket, schedules the investigation, and owns the full debugging loop themselves. There is no automated remediation engine in the current product.
Test your voice agent before your users ever hear it.
Noveum's voice scorers cover TTS quality, response latency, mispronunciation, interruption detection, and tone consistency. NovaSynth takes it further. You define realistic personas, write test scenarios, and NovaSynth runs those conversations through your live agent via voice or phone at scale. Every session is automatically scored. Confident AI's chat simulations cover text-based multi-turn conversations well, but there is no voice or phone simulation capability in the current product.
Pay for evaluations. Not for storage every time your traces stack up.
Both Noveum and Confident AI are org-flat, so the bill does not go up as your team grows. The difference is what accumulates beyond the base fee. Confident AI charges $200 per month on Starter and $2,000 per month on Team, then adds two usage meters on top: trace storage at $1 per GB per month beyond the plan included amount, and LLM token costs at approximately $0.05 per million input tokens and $0.40 per million output tokens for online evals. Noveum is credit-based. You pay for what your agents actually produce with a single unified currency, and there is no separate token meter or storage bill stacking on top of your plan.
Pricing at a glance
Org-flat, credit-based billing
Org-flat base fee + token + storage metering
Both tools are org-flat. The question is what you pay beyond the base fee.
Noveum and Confident AI both charge a flat org price with no per-seat fee. The difference is what accumulates on top. Confident AI charges $200 per month on Starter and $2,000 per month on Team, then bills trace storage at $1 per GB per month beyond the plan included amount, and charges LLM token costs separately at approximately $0.05 per million input tokens and $0.40 per million output tokens for online evals. Both meters compound as your eval volume grows. Noveum is purely credit-based. You pay for evaluation work your agents generate with a single unified currency, and there is no separate token meter or storage bill running in the background.
FAQ
Common questions
How quickly can I start getting evaluation scores with Noveum?
Most teams have scored traces running within 15 minutes. Install the SDK, wrap your LLM calls with the context manager, and 100+ scorers start running on every trace immediately.
What is NovaPilot and how does it work?
NovaPilot is Noveum's auto-remediation agent. It identifies root causes, groups similar failures by category, and generates a structured improvement report you can drop into Cursor or any IDE.
Is Confident AI open source?
Yes, partially. DeepEval, Confident AI's open-source eval framework, has over 17,000 GitHub stars. The Confident AI cloud platform is a separate commercial product.
How does Noveum pricing compare to Confident AI?
Both are org-flat with no per-seat charge. Confident AI charges a base fee plus token and storage metering on top. Noveum is credit-based with all evaluation work under one unified currency and no separate meters.
Can Noveum evaluate domain-specific workflows?
Yes. The Enterprise plan includes custom scorer development that runs alongside 100+ built-in metrics in the same automated pipeline.
Our take
Noveum is built for teams that need the evaluation loop to run on autopilot. You get 100+ scorers firing on every production trace from day one, voice pipeline scoring that catches audio failures before users hear them, NovaSynth synthetic sessions that test your agent before launch, and NovaPilot converting every failure pattern into a developer-ready fix report. Less time debugging. More time shipping better agents.
Confident AI is genuinely strong on the testing side. DeepEval is one of the most widely adopted open-source eval frameworks available, with a large community, deep CI/CD integration, and real traction in regulated industries through its red teaming and governance modules. If your team lives in pull requests and wants quality gates that block bad prompt changes before they merge, Confident AI does that well.
But testing before deployment and monitoring after deployment are two different problems. If your agents are live, failures are happening right now, and you need the platform to not just surface the problem but tell you exactly what to change, Noveum is where that loop closes.
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