We Fix Broken
AI Agents.
AI Agents that monitor, debug, and fix your AI Agents — 24/7, at scale. For chatbots, voice bots, and autonomous agents.
Trusted by agent builders, banks, and telecom providers · Built by ex-AWS SageMaker, ex-SambaNova, ex-Playo team
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Analyze. Fix. Improve.
Most platforms show you what's broken. Noveum tells you how to fix it — and does it for you.
Analyze
Every trace scored by 100+ AI evaluators. Hallucination, coherence, tool correctness, voice quality — all in real time.
Fix
NovaPilot identifies failure patterns, tests 136+ prompt variations, and delivers verified fixes — prompts, tools, and flows.
Improve
Continuous improvement loop. Your agents get better every day, automatically. 4-6x performance improvement proven.
From Flying Blind to 95%+ Success Rate
A leading cloud communication platform deployed 100+ AI voice agents handling millions of interactions monthly. Their engineers spent days debugging failures with no root cause visibility.
After integrating Noveum in 4 lines of code, NovaPilot tested 136+ prompt variations across 4 evolutionary generations and delivered verified fixes — in 10 minutes.
We went from spending days debugging agent failures to having verified fixes delivered automatically. Noveum changed how we build AI.
Lead AI Engineer
Enterprise Cloud Communication Platform
Your AI Engineer That Fixes Broken Agents
Everyone else tells you what the errors are. NovaPilot tells you HOW to fix it. It analyzes evaluation data, identifies failure patterns, and generates actionable fixes — system prompt changes, model parameter adjustments, tool corrections — all delivered as recommendations or PRs.
For Agent Builders: Give Your Customers Agents That Auto-Improve
Integrate Noveum once into your platform. Every customer's agents automatically get monitored, evaluated, and improved — without you lifting a finger.
Your customers get agents that learn and get better over time. You get better retention and a product that stands out.
One integration. Hundreds of customers. Agents that auto-improve.
Evaluate Your Voice Bots, Not Just Chatbots
The only AI evaluation platform with dedicated audio scorers. Monitor TTS quality, detect mispronunciations, measure speaking-over-user events, and track end-to-end voice pipeline latency.
TTS Quality
4 scorersMispronunciation, Audio Breakage, Word Accuracy, Speaking Over User
Voice Pipeline Latency
13 scorersLLM TTFT, STT Latency, TTS TTFB, E2E Latency, End-of-Turn Delay, and 8 more
Turn Timing
3 scorersLLM latency, Speaking duration, Voice pipeline stages
All 17 Audio & Voice Scorers
Works with LiveKit, Twilio, and custom voice pipelines
100+ Scorers Across 18 Categories. Plus Custom Evals From Your PRD.
82 scorers across 18 categories
Don't see what you need? We create complex custom evaluations based on YOUR product requirements. Tell us what your agent should do — we build the scorer for it.
Built for Teams Scaling AI to Production
Whether you're building AI agents for your customers or deploying them inside your enterprise, Noveum ensures they work reliably — and get better over time.
Agent Builders
You build chatbots, voice bots, and AI agents for YOUR customers. Every failure is your reputation. Noveum gives your customers' agents the ability to auto-improve — without you lifting a finger.
- ✓Multi-tenant monitoring for thousands of customer agents
- ✓White-label evaluation and improvement pipeline
- ✓Agents that learn and get better, driving retention
Enterprises
You have agents in production but no system to monitor them. Noveum gives you production-grade observability, evaluation, and autonomous fixing — at enterprise scale.
- ✓On-prem deployment with BYO ClickHouse
- ✓SOC 2 Type II, HIPAA, GDPR compliance
- ✓Enterprise SLAs and dedicated support
Regulated Industries
Banks, telecom, healthcare — when AI agents handle sensitive data, reliability isn't optional. Noveum provides complete audit trails and compliance-ready monitoring.
- ✓PII detection and content moderation scorers
- ✓Complete trace audit trails for compliance
- ✓On-prem deployment for data sovereignty
Works With Any AI Application
AI Agent Eval Pipeline
From integration to verified fixes — fully automated. Your agents get better every day.
Integrate in 15 Minutes
Add our Python or TypeScript SDK. 5 minutes for LangChain, LangGraph, or LiveKit. 15 for custom code.
Traces Flow Automatically
Every LLM call, tool use, and agent decision captured. 6M traces per day at production scale.
Evaluate with 100+ Scorers
Hallucination, coherence, tool correctness, audio quality — scored in real time across 18 categories.
NovaPilot Fixes It
AI agent analyzes failures, tests 136+ variations, and delivers verified fixes as recommendations or PRs.
Integrate on a Live Call. We Help You.
5 minutes for LangChain, LangGraph, or LiveKit. 15-20 minutes for custom code. We do this with you on a live call.
- LangChain & LangGraph callback handlers
- LiveKit STT/TTS wrappers with audio capture
- Context managers for granular control
# One callback handler captures everything
handler = NoveumTraceCallbackHandler()
prompt = ChatPromptTemplate.from_template("Summarize: {text}")
chain = prompt | ChatOpenAI(callbacks=[handler]) | StrOutputParser()
result = chain.invoke({"text": "Your document here"})
# Every LLM call, chain step, and tool use is capturedEvals Feel Easy. They're Not.
Most companies spend months trying to build eval pipelines with Langfuse or Braintrust — and still can't get them to work. We set up your entire eval pipeline end-to-end.
Only Platform With AutoFix
NovaPilot doesn't just find problems — it generates verified fixes for your prompts, tools, and flows.
True On-Prem Deployment
Deploy in your VPC with BYO ClickHouse. Full data sovereignty. Built for on-prem from day 1.
We Set Up Your Evals
We don't give you a toolkit and wish you luck. We build your eval pipeline on a live call — 15 minutes, done.
| Capability | Noveum | Langfuse | Arize | Braintrust |
|---|---|---|---|---|
| AI Agent that Fixes | NovaPilot (autonomous) | No | Alyx (debug assistant) | Loop (optimizer) |
| Audio/Voice Evals | 17 dedicated scorers | No | No | No |
| Custom Evals from PRD | From your PRD | No | No | No |
| Total Eval Scorers | 100+ across 18 categories | Limited | Yes | Limited |
| On-Prem Deployment | BYO ClickHouse, full VPC | Self-host (Docker) | Yes | Hybrid |
| Enterprise SLAs | SOC 2, HIPAA, dedicated | Standard SOC 2 | Enterprise tier | SOC 2, HIPAA |
| Integration & Setup | 15 min, live on a call | Self-serve | Self-serve | Self-serve |
| Scale | 6M traces / 60M spans | Varies | Petabyte-scale | Millions |
| Agent Builder Support | Multi-tenant, 1000s of agents | Single-tenant | Multi-tenant | Single-tenant |
We spent 3 months trying to make evals work with open-source tools. Noveum had us running in 15 minutes.
AI Platform Lead, Enterprise SaaS
Production Scale, Enterprise Trust
Built for Enterprise from Day 1
0M+
Traces/Day0M+
Spans/Day0+
AI Scorers
Built by ex-AWS SageMaker, ex-SambaNova, ex-Playo team
Schedule a Call — We'll Integrate Live
Talk to our AI engineering team. We'll show you how Noveum fits your stack, integrate it on the call, and have your agents evaluated within the hour.
Book a Demo
No credit card required • Custom plan available
About Noveum.ai — Your 24/7 AI Eval Engineering Team
Noveum.ai is the only platform that doesn't just tell you what's broken — it tells you how to fix it. As your 24/7 AI Eval Engineering Team, Noveum monitors, evaluates, debugs, and sends fixes as PR to you, at scale. Built by ex-AWS SageMaker, ex-Sambanova, and ex-Playo engineers, Noveum is purpose-built for enterprise AI teams running chatbots, voice bots, and autonomous agents in production.
With a lightweight SDK integration (15 minutes or less), Noveum captures everything your AI Agent does — prompts, decisions, tool calls, token usage, context retrievals, and workflow traces. Processing over 6M traces and 60M spans per day, the platform provides production-grade observability at enterprise scale.
The platform includes 100+ specialized AI scorers across 18 categories, including dedicated Audio/TTS Quality and Voice Pipeline Latency scorers — making Noveum the only platform with built-in audio evaluation capabilities. From hallucination detection to mispronunciation scoring, from RAG quality to speaking-over-user detection, every dimension of AI quality is covered.
NovaPilot, Noveum's autonomous AI agent, analyzes evaluation data, identifies failure patterns, tests 136+ prompt variations across 4 evolutionary generations, and delivers verified fixes — all automatically. NovaPilot's 4 specialized agents (Prompt Analyzer, Tool Analyzer, Flow Analyzer, General Analyzer) provide comprehensive coverage of every failure mode. Teams can also create complex custom evaluations based on their Product Requirements.
Noveum supports on-prem deployment with BYO ClickHouse, offers Enterprise SLAs with SOC 2 Type II, HIPAA, and GDPR compliance. Backed by AWS, GCP, DigitalOcean, OVHCloud, Nvidia Inception Program, ElevenLabs, and Anthropic.
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 100+ 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 (100+ Scorers)
1. Accuracy, Matching & Semantic Quality Scorers
- ExactMatchScorer
Checks if the AI output perfectly matches the expected answer. Ideal for classification or deterministic tasks. - AccuracyScorer
Measures the proportion of correct responses across a dataset — essential for baseline LLM quality benchmarking. - MultiPatternAccuracyScorer
Supports multiple correct output forms. Useful for flexible workflows where several answers are acceptable. - F1Scorer
Balances precision and recall to measure how accurately the AI captures all important elements. - BLEUScorer
An n-gram matching metric for evaluating text similarity. Used broadly in summarization and generation tasks. - ROUGEScorer
Measures recall overlap with reference text, especially useful for long-form content evaluation. - LevenshteinSimilarityScorer
Calculates edit distance between expected and generated text, identifying near-matches efficiently. - SemanticSimilarityScorer
Uses embedding-based comparisons to assess meaning similarity, not just surface text similarity. - InformationDensityScorer
Scores how substantive and information-rich an answer is, identifying fluff or low-density output. - ClarityAndCoherenceScorer
Evaluates readability, logical structure, and flow — vital for customer-facing AI responses. - AnswerCompletenessScorer
Checks whether the AI addressed every part of the prompt completely. - QuestionAnswerAlignmentScorer
Ensures direct alignment between user question and generated answer. - TechnicalAccuracyScorer
Validates correctness for domain-specific answers in finance, engineering, legal, or medical tasks. - TerminologyConsistencyScorer
Ensures specialist terminology is used appropriately and consistently in AI responses.
2. Relevance, Faithfulness & Hallucination Scorers
- AnswerRelevancyScorer
Measures how relevant the AI's response is to user intent. - FaithfulnessScorer
Checks whether the AI stays grounded in provided context without adding unsupported claims. - FactualAccuracyScorer
Identifies factual inaccuracies by comparing output with known truths. - HallucinationDetectionScorer
Detects fabricated or invented information. One of the most important scorers for enterprise safety. - ConflictResolutionScorer
Identifies contradictions in the AI's reasoning. - ContextPrioritizationScorer
Ensures the AI selects the most important context pieces when generating a response. - ContextFaithfulnessScorerPP
Validates that the answer is grounded in provided documents. - ContextGroundednessScorer
Checks if every important claim is supported by context. - ContextCompletenessScorer
Measures whether the AI uses enough context to form a complete answer. - ContextConsistencyScorer
Ensures consistency with reference material across statements.
3. RAG (Retrieval-Augmented Generation) Scorers
- ContextualPrecisionScorer
Evaluates relevance of retrieved context snippets used in the final answer. - ContextualRecallScorer
Measures how much relevant content the AI included from the available context. - RAGASScorer
Industry-standard RAG quality scoring across groundedness, relevance, and answer quality. - ContextualPrecisionScorerPP
Enhanced precision evaluation for more complex retrieval chains. - ContextualRecallScorerPP
Advanced recall scoring that checks deeper semantic relevance. - RetrievalF1Scorer
Harmonic mean of precision and recall for retrieval effectiveness. - RetrievalRankingScorer
Evaluates document ranking quality for RAG pipelines. - RetrievalDiversityScorer
Ensures retrieval results include diverse, non-redundant knowledge sources. - AggregateRAGScorer
Provides a combined score summarizing RAG performance. - RAGAnswerQualityScorer
Evaluates whether the final answer is high-quality and well-grounded.
4. Conversation & Role Behavior Scorers
- ConversationRelevancyScorer
Checks turn-by-turn relevance in multi-turn dialogues. - ConversationCompletenessScorer
Ensures the entire user intent has been addressed in the conversation. - RoleAdherenceScorer
Ensures the agent sticks to its assigned role and persona. - ConversationalMetricsScorer
Composite conversational quality scorer measuring flow, engagement, and relevance.
5. Safety, Bias & Harm Prevention Scorers
- AnswerRefusalScorer
Detects whether AI refuses unsafe or disallowed tasks appropriately. - ContentModerationScorer
Flags potentially harmful, explicit, or policy-violating content. - ContentSafetyViolationScorer
Scores violations of safety, compliance, or governance guidelines. - ToxicityScorer
Evaluates presence of insulting, aggressive, or harmful language. - IsHarmfulAdviceScorer
Detects dangerous recommendations — crucial for sensitive domains. - NoGenderBiasScorer
Ensures fair, unbiased responses related to gender. - NoRacialBiasScorer
Evaluates outputs for racial bias or stereotyping. - NoAgeBiasScorer
Checks for age-related prejudice in AI responses. - CulturalSensitivityScorer
Ensures the AI respects cultural norms and avoids offensive phrasing.
6. Structured Output & Format Scorers
- IsJSONScorer
Validates whether responses follow correct JSON formatting. - IsEmailScorer
Checks for valid email generation structure. - ValidLinksScorer
Ensures URLs in the output are properly formatted and valid.
7. Multi-Judge & Deep Reasoning Scorers
- PanelOfJudgesScorer
Uses multiple LLM 'judges' to provide averaged evaluations for robust scoring. - SpecializedPanelScorer
Domain-specific multi-judge scorer for technical or expert evaluations. - GEvalScorer
A generalized evaluation approach measuring reasoning, structure, and coherence. - AgentScorers
Bundle of agent-specific evaluations optimized for multi-step AI workflows.
8. Pipeline & System-Level Scorers
- QueryProcessingEvaluator
Evaluates how accurately the system interprets and processes user queries. - RetrievalStageEvaluator
Scores the retrieval portion of a RAG pipeline. - RerankingEvaluator
Evaluates how well documents are reranked for relevance. - RAGPipelineEvaluator
Full end-to-end scoring for retrieval + ranking + generation. - PipelineCoordinationScorer
Evaluates coordination of pipeline components across stages.
9. Latency, Resource & Error Scorers
- LatencyAnalysisScorer
Measures latency and identifies bottlenecks across the AI execution path. - ResourceUtilizationScorer
Assesses token efficiency, compute usage, and cost impact. - ErrorPropagationScorer
Detects how errors propagate across multi-step agent workflows.
10. Knowledge & Memory Scorers
- KnowledgeRetentionScorer
Measures whether an AI preserves key information across turns or steps.
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.
Noveum.ai — Your 24/7 AI Eval Engineering Team
As companies scale AI Agents to hundreds and thousands, Noveum provides the only platform that monitors, evaluates, and autonomously fixes broken agents at scale. Built for enterprise from day 1, with on-prem deployment, BYO ClickHouse, and SOC 2 Type II compliance. Trusted by agent builders, banks, and telecom providers.