Evaluate AI Systems End-to-End, Not Just Outputs

AI systems fail silently, hallucinations, bad reasoning, and tool errors go unnoticed until they impact users. LLUMO AI Evals measures behavior end-to-end so you know what’s breaking, why, and how to fix it.

Trusted by many, across their companies and within their products

LLUMO AI is powered by Eval360™

Eval360™ is a purpose-built SLM that evaluates and debugs agentic AI workflows at an atomic level to catch failures before they reach production.

Why LLUMO AI Evals?

10X

Better visibility

Move beyond surface-level metrics. Evaluate inputs, outputs, reasoning, and workflows in one place.

80%

Faster issue detection

Instantly detect hallucinations, unsafe responses, & failures before they impact production.

4X

Stronger AI performance

Continuously measure, track, and improve system reliability using structured evaluation signals.

The one solution for Production LLM Applications

Seamlessly integrate and enhance LLMs performance, irrespective of language models or RAG setup.

Pre-Built Metrics Across the AI Pipeline

• Evaluate response quality and safety
• Detect relevance, toxicity, bias, and harmful intent

RAG-Based Metrics

Ensure responses are grounded in retrieved data by detecting hallucinations and measuring groundedness.

Agent & Workflow Metrics

Evaluate multi-step execution and reasoning by tracking tool usage, planning accuracy, and workflow consistency.

Structured Evaluation with Clear Signals

• Each run is scored across selected metrics
• Get clear signals on performance and reliability

Reasoning Behind Scores

Reasoning behind scores helps you understand why a response passed or failed, eliminating guesswork from debugging.

Multi-Metric Evaluation

Apply multiple metrics to the same run & analyze performance across different dimensions.

Custom Metrics for Your Use Case

• Go beyond generic evaluation with metrics tailored to your system
• Create custom metrics based on your domain requirements

Flexible Metric Definitions

Flexible metric definitions allow you to use structured inputs like query, context, and output, giving you control over how evaluation is performed.

Custom Scoring Framework

A custom scoring framework allows you to define score ranges and categories like Excellent, Good, or Poor, aligning evaluation with your benchmarks.

Domain-Specific Evaluation

Domain-specific evaluation allows you to build metrics tailored to industries like finance, legal, healthcare, support, and more.

Testimonials

Don't just take our word for it - see what actual users of our service have to say about their experience.

Nida

Co-founder & CEO, Nife.io

We used to spend hours digging through logs to trace where the agent went wrong. With the debugger, the flow diagram shows errors instantly, along with reasons and next steps.

Jazz Prado

Project Manager, Beam.gg

Hallucinations in our customer support summaries were slipping through unnoticed. LLUMO’s debugger flagged them in real time, helping us prevent misinformation before it reached clients.

Shikhar Verma

CTO, Speaktrack.ai

Managing multi-agent workflows was messy, too many moving parts, too many blind spots. The debugger finally gave us clarity on what happened, why, and how to fix it.

Jordan M.

VP, CortexCloud

LLUMO felt like a flashlight in the dark. We cleared out hallucinations, boosted speeds, and can trust our pipelines again. It’s exactly what we needed for reliable AI.

Sarah K.

Lead NLP Scientist, AetherIQ

With LLUMO, we tested prompts, fixed hallucinations, and launched weeks early. It seriously leveled up our assistant’s reliability and gave us confidence in going live.

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FAQs

01 Can I try LLUMO AI for free?
02 Is LLUMO AI secure?
03 What models does LLUMO AI support?
04 Is LLUMO compatible with all LLMs and RAG frameworks?
05 Can I use LLUMO with custom-hosted LLMs?