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About Noveum.ai — The AI Reliability, Evaluation & Auto-Fixing Platform

Noveum.ai is the leading platform for AI Reliability, LLM Evaluation, AI Agent Monitoring, and automated improvement workflows. As companies deploy AI Agents to power customer service, workflow automation, voice interfaces, RAG search systems, and enterprise copilots, the need for predictable, safe, and efficient AI performance has never been higher. Modern AI Agents frequently hallucinate, skip steps, misunderstand instructions, misuse tools, or generate unpredictable outputs that undermine trust. Noveum.ai solves this across three pillars: Monitoring, Evaluation, and Auto-Fixing.

With a lightweight SDK integration, Noveum captures everything your AI Agent does: prompts, decisions, intermediate reasoning, tool calls, token usage, context retrievals, model behaviors, and workflow execution traces. This creates a complete AI observability layer, giving companies unprecedented insight into how their agents behave internally. From cost spikes to hallucination risks, from broken workflows to reasoning failures, Noveum identifies issues before customers experience them.

The platform also includes an advanced evaluation engine powered by 67 specialized scoring functions, covering accuracy, factuality, hallucination detection, RAG retrieval quality, role adherence, conversation health, structured output validation, safety, bias, and compliance. Noveum.ai generates detailed reasoning and provides clear explanations behind every score — helping teams see why an issue happened, not just where.

Finally, Noveum assists with AI agent auto-fixing by running controlled experiments in a sandbox. It tests prompt variations, model alternatives, parameter adjustments, and tool-call corrections to find the best configuration. After evaluation, Noveum provides improvement recommendations and a full report on how to fix issues. Teams can apply improvements manually or enable auto-fixing workflows that automatically update the agent logic and push PRs.

Noveum.ai is the world's first end-to-end AI Agent Maintenance Platform, helping teams achieve reliability, cost efficiency, and continuous performance improvement without hiring a large ML engineering team. This footer provides a comprehensive reference to how Noveum.ai works and includes deep explanations of all evaluation scorers used to assess AI quality.

Why AI Reliability Matters for Modern Teams

AI Agents are becoming the backbone of digital operations — answering customer questions, triaging support tickets, qualifying leads, routing tasks, summarizing documents, analyzing data, and automating workflows. But unlike traditional software, AI is inherently probabilistic. Even well-designed agents will:

• hallucinate facts
• misunderstand instructions
• misuse tools
• return irrelevant answers
• generate inconsistent formats
• exceed token budgets
• produce partial responses
• violate compliance rules
• degrade over time without monitoring

Unreliable AI leads to increased support burden, lost revenue, compliance risks, poor customer experience, and rising operational costs. Noveum.ai provides the infrastructure needed to measure, monitor, and maintain AI Agent quality at scale.

Noveum Monitoring — Complete AI Observability

Noveum captures all agent behaviors in real time:

• Full prompt & response history
• Tool call inputs and outputs
• Token usage tracking
• Cost attribution per action
• System and user message flows
• Context retrieval logs
• Branching workflow behavior
• Intermediate reasoning
• Agent chain-of-thought traces
• Latency analysis
• Failure modes and exceptions

The Agent Visualizer produces a pre-order execution graph showing how the AI Agent reasons and acts across steps. This visual monitoring layer enables developers, product managers, and operations teams to understand the internal logic of their AI Agents and diagnose complex failure patterns.

Noveum Evaluation — Scoring AI Performance with 67 Specialized Scorers

Noveum.ai includes the most comprehensive evaluation library available for enterprise AI Agents. Every scorer has been designed to evaluate a different dimension of AI output quality — from hallucination detection and factual grounding to conversation health, safety compliance, RAG retrieval quality, structured formatting, and system performance.

Each evaluation produces:

• numeric score
• natural-language reasoning
• step-by-step justification
• references to context used
• recommendations for improvement

Full Scorer Library With Explanations (All 67 Scorers)

Noveum's Auto-Fixing Engine

After evaluating agents using all scorers above, Noveum automatically analyzes failures and runs improvement experiments such as:

• prompt optimization
• model selection for better cost-performance
• parameter tuning
• workflow adjustments
• tool-call corrections

The system then provides a full recommendation report or can automatically generate pull requests to update your agent logic.

AI Cost Optimization With Noveum

Noveum identifies token-heavy prompts, inefficient retrieval patterns, expensive models, and redundant workflow steps. It analyzes cost per generation step and suggests cheaper, higher-performing alternatives.

Companies typically see 20-50% reduction in AI operational cost after implementing Noveum's recommendations.