Noveum.ai
Closed-loop evaluation platform that traces, scores, and ships validated fixes for production chat, voice, and workflow AI agents.
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Product Overview
What is Noveum.ai?
Noveum.ai is an agent evaluation and remediation platform built for engineering teams running AI agents in production. Instead of stopping at flagging failures, it captures every LLM call, tool invocation, and agent step through an open-source SDK, scores runs against more than 100 calibrated scorers, and uses its NovaPilot engine to generate candidate fixes. Each fix is backtested against the failing calls and re-simulated end to end before Noveum opens it as a pull request for a human to review and merge. The platform supports chat, voice, and multi-step workflow agents, with deep integrations for frameworks like LangChain, LangGraph, LiveKit, Pipecat, and CrewAI, and offers on-prem or bring-your-own-ClickHouse deployment for enterprises with strict data residency needs.
Key Features
NovaTrace Observability
Open-source SDK captures every LLM call, tool call, retrieval, and agent step with token, cost, and latency data on each span, aligned with OpenTelemetry.
100+ Calibrated Scorers
Production traces are automatically sampled and evaluated against a large library of pre-tuned scorers instead of requiring manual dataset curation.
NovaPilot Automated Fixes
Traces failures to root cause, generates a candidate fix, and validates it via backtesting and full re-simulation before opening a pull request.
Multi-Agent Framework Support
Native integrations for LangChain, LangGraph, LiveKit, Pipecat, and CrewAI cover chat, voice, and multi-step workflow agent architectures.
Enterprise Deployment Controls
On-premise, VPC, or bring-your-own-ClickHouse deployment with SSO/SAML, RBAC, and audit logging, plus SOC 2 Type II in progress and GDPR compliance.
High-Throughput Tracing
Load-tested to 15,000 spans per second and running at over 60 million spans per day in production environments.
Use Cases
- Voice Agent Debugging : Teams test voice agents on real calls, score conversations with dedicated voice scorers, and validate fixes with production-grade simulation before release.
- Chat Agent Quality Assurance : Production chat traces are converted into ready-to-run evaluations, removing the need to hand-build test datasets or manually pick scorers.
- Workflow Agent Monitoring : Multi-step agents are evaluated across tool calls, routing decisions, and end-to-end outcomes to catch failures that happen between steps.
- Regulated-Industry Deployment : Financial services, telecom, and real estate teams run Noveum on-prem or with their own ClickHouse instance to keep trace data inside their infrastructure.
- Migration From Manual Debugging : Teams replace manual log review and copy-pasting traces into separate AI tools by analyzing spans, traces, and suggested fixes directly inside one platform.
FAQs
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