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.
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.
We enable you to do data-driven iterations to optimize your RAG and LLM performance to reduce hallucinations and improve inference speed.
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.
Easily integrate our API in just 5 minutes and start getting 360° visibility into your LLM Performance. It’s as simple as that.
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.
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.
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!
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.
LLUMO reduces AI hallucinations by 30%, identifying false or irrelevant responses. With Eval LM, keep your model accurate and reliable
We rely on LLUMO daily now. It keeps our agents on track, cuts hallucinations, and gives us clear signals so we can scale with confidence.
I thought integration would be a pain, but LLUMO’s team made it smooth. Now we test and refine models way faster, and our team moves with confidence.
RAG made our pipelines messy fast. LLUMO changed that overnight. We finally see what’s going on inside our agents, and our systems are now reliable and easy to debug.
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.
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.
We rely on LLUMO daily now. It keeps our agents on track, cuts hallucinations, and gives us clear signals so we can scale with confidence.
I thought integration would be a pain, but LLUMO’s team made it smooth. Now we test and refine models way faster, and our team moves with confidence.
RAG made our pipelines messy fast. LLUMO changed that overnight. We finally see what’s going on inside our agents, and our systems are now reliable and easy to debug.
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.
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.
We rely on LLUMO daily now. It keeps our agents on track, cuts hallucinations, and gives us clear signals so we can scale with confidence.
I thought integration would be a pain, but LLUMO’s team made it smooth. Now we test and refine models way faster, and our team moves with confidence.
RAG made our pipelines messy fast. LLUMO changed that overnight. We finally see what’s going on inside our agents, and our systems are now reliable and easy to debug.
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.
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.
We’ve tried plenty of tools, but LLUMO just works. It’s stable, catches hallucinations, and keeps our agent pipelines reliable while letting us move fast.
LLUMO opened up a 360° view into our agent pipelines. It’s helped us catch issues early, improve stability, and make faster decisions without second-guessing.
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.
Our pipelines were growing complex fast. LLUMO brought clarity, reduced hallucinations, and sped up our inference, making our workflows feel rock solid.
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.
Evaluating models used to be a guessing game. LLUMO’s EvalLM made it clear and structured, helping us improve models confidently without hidden surprises.
We’ve tried plenty of tools, but LLUMO just works. It’s stable, catches hallucinations, and keeps our agent pipelines reliable while letting us move fast.
LLUMO opened up a 360° view into our agent pipelines. It’s helped us catch issues early, improve stability, and make faster decisions without second-guessing.
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.
Our pipelines were growing complex fast. LLUMO brought clarity, reduced hallucinations, and sped up our inference, making our workflows feel rock solid.
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.
Evaluating models used to be a guessing game. LLUMO’s EvalLM made it clear and structured, helping us improve models confidently without hidden surprises.
We’ve tried plenty of tools, but LLUMO just works. It’s stable, catches hallucinations, and keeps our agent pipelines reliable while letting us move fast.
LLUMO opened up a 360° view into our agent pipelines. It’s helped us catch issues early, improve stability, and make faster decisions without second-guessing.
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.
Our pipelines were growing complex fast. LLUMO brought clarity, reduced hallucinations, and sped up our inference, making our workflows feel rock solid.
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.
Evaluating models used to be a guessing game. LLUMO’s EvalLM made it clear and structured, helping us improve models confidently without hidden surprises.