How AI teams get full visibility into LLM performance

We help you track and boost your LLM performance in real time to make your AI smarter, faster, and more cost-effective.

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Trusted by many, across their companies and within their products

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LLUMO AI solutions

Why LLUMO AI?

10X

Faster LLM Optimization

We help you monitor your LLM performance in real time and are the only ones who can tell you the next steps to optimize your LLM performance continuously.

50+

Customizable KPIs

We're the all-in-one tool for your LLM performance needs. Customize over 50 KPIs using natural language and your raw data to measure what matters to your niche and business.

30%

Fewer Hallucinations

We enable you to do data-driven iterations to optimize your RAG and LLM performance to reduce hallucinations and improve inference speed.

Get 360° Performance Tracking for LLMs

  • Track your LLM’s performance with customized KPIs
  • Go beyond thumbs up or down to actionable insights.
Evaluate | Optimize | Automate - in one click! illusration

Real-Time, Data-Driven Insights

Eliminate guesswork with real-time performance monitoring to pinpoint what works and what doesn’t. Use data-driven insights to make your LLMs more effective, faster, and cost-efficient.

The Ultimate LLM Testing Playground

Rapid API Integration

Easily integrate our API in just 5 minutes and start getting 360° visibility into your LLM Performance. It’s as simple as that.

Same output at a lower cost illustration

Iterate faster with our smart recommendation

  • We’ll tell you the next steps to improve your performance
  • Quickly run iterations and optimize LLM in our playground
Save Up to 80% on LLM Costs illustration

Easily Compare Models and Prompts

Evaluate and compare models and prompts as per our smart recommendation. Deploy the top performer to get the most accurate, reliable results at a lower cost.

Automated, Human-Like Evaluation 1
Automated, Human-Like Evaluation

Real-Time, Data-Driven Insights

We go beyond monitoring our insights and come with specific, actionable recommendations on how to refine your prompts, model, or workflow to keep your LLMs consistently performing at their best.

The Ultimate LLM Testing Playground

50+ customizable Eval Metrics for Any Use Case

  • Customize your monitoring as per your use case and data
  • Imagine having your evaluation co-pilot working for you
360° LLM Performance Visibility illustration

Automated, Human-Style Evaluation

Customize over 50 KPIs using natural language and your raw data. Imagine having an evaluation co-pilot that automatically tests and optimizes your LLMs, ensuring peak accuracy in no time!

Seamlessly Test Different Evals

From context to answer correctness and hallucinations—we help you track it all. Dive deep into how your models perform and get clear insights on where to improve and how.

Achieve Precision Like Never Before

LLUMO reduces AI hallucinations by 30%, identifying false or irrelevant responses. With Eval LM, keep your model accurate and reliable

Wall of love

Testimonials

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

Nida

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

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

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.

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.

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.

Nida

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

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

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.

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.

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.

Nida

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

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

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.

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.

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.

Mike L.

Mike L.

Senior LLM Engineer, OptiMind

Integration was surprisingly quick, took less than 30 minutes. Now every agent run automatically and logs into the debugger, so we catch failures before they cascade.

Ryan

Ryan

CTO at ClearView AI

Before LLUMO, debugging meant replaying the entire workflow manually. With the SDK hooked in, we see real-time insights without changing how we build.

Sonia

Sonia

Product Lead at AI Novus

Before LLUMO, we were stuck waiting on test cycles. Now, we can go from an idea to a working feature in a day. It’s been a huge boost for our AI product.

Amit Pathak

Amit Pathak

Head of Operations at VerityAI

Our pipelines were growing complex fast. LLUMO brought clarity, reduced hallucinations, and sped up our inference, making our workflows feel rock solid.

Michael S.

Michael S.

AI Lead at MindWave

I wasn’t sure if LLUMO would fit, but it clicked immediately. Debugging and evaluation became straightforward, and now it’s a key part of our stack.

Priya Rathore

Priya Rathore

AI engineer at NexGen AI

Evaluating models used to be a guessing game. LLUMO’s EvalLM made it clear and structured, helping us improve models confidently without hidden surprises.

Mike L.

Mike L.

Senior LLM Engineer, OptiMind

Integration was surprisingly quick, took less than 30 minutes. Now every agent run automatically and logs into the debugger, so we catch failures before they cascade.

Ryan

Ryan

CTO at ClearView AI

Before LLUMO, debugging meant replaying the entire workflow manually. With the SDK hooked in, we see real-time insights without changing how we build.

Sonia

Sonia

Product Lead at AI Novus

Before LLUMO, we were stuck waiting on test cycles. Now, we can go from an idea to a working feature in a day. It’s been a huge boost for our AI product.

Amit Pathak

Amit Pathak

Head of Operations at VerityAI

Our pipelines were growing complex fast. LLUMO brought clarity, reduced hallucinations, and sped up our inference, making our workflows feel rock solid.

Michael S.

Michael S.

AI Lead at MindWave

I wasn’t sure if LLUMO would fit, but it clicked immediately. Debugging and evaluation became straightforward, and now it’s a key part of our stack.

Priya Rathore

Priya Rathore

AI engineer at NexGen AI

Evaluating models used to be a guessing game. LLUMO’s EvalLM made it clear and structured, helping us improve models confidently without hidden surprises.

Mike L.

Mike L.

Senior LLM Engineer, OptiMind

Integration was surprisingly quick, took less than 30 minutes. Now every agent run automatically and logs into the debugger, so we catch failures before they cascade.

Ryan

Ryan

CTO at ClearView AI

Before LLUMO, debugging meant replaying the entire workflow manually. With the SDK hooked in, we see real-time insights without changing how we build.

Sonia

Sonia

Product Lead at AI Novus

Before LLUMO, we were stuck waiting on test cycles. Now, we can go from an idea to a working feature in a day. It’s been a huge boost for our AI product.

Amit Pathak

Amit Pathak

Head of Operations at VerityAI

Our pipelines were growing complex fast. LLUMO brought clarity, reduced hallucinations, and sped up our inference, making our workflows feel rock solid.

Michael S.

Michael S.

AI Lead at MindWave

I wasn’t sure if LLUMO would fit, but it clicked immediately. Debugging and evaluation became straightforward, and now it’s a key part of our stack.

Priya Rathore

Priya Rathore

AI engineer at NexGen AI

Evaluating models used to be a guessing game. LLUMO’s EvalLM made it clear and structured, helping us improve models confidently without hidden surprises.

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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?

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