Run prompts across LLMs in one click. Instantly get evaluation scores—no more manual reviews required to find the best model and prompt.
All-in-one tool for LLM performance analysis. 50+ customizable KPIs to measure what matters to your business.
Deploy effortlessly with one-click setup, and integrate seamlessly with other tools.
Seamlessly integrate and enhance LLM performance, irrespective of language models or RAG setup.
Generic AI evals don’t capture the nuances of industry-specific challenges. LLUMO’s experiment provides tailored evaluations designed for various use cases, ensuring that your AI workflow is optimized for real-world applications.
Experiment automates AI testing, debugging, and analysis, cutting development time by 90%. With structured workflows, teams accelerate from prototype to production seamlessly.
Use case specific KPIs with human-like evaluation. Imagine having an evaluation co-pilot that automatically tests and optimizes your LLMs, ensuring peak accuracy in no time!
Test and compare multiple AI models simultaneously within a single interface. See how different models perform on your specific tasks and select the best one with confidence.
LLUMO reduces AI hallucinations by 30%, identifying false or irrelevant responses. With Eval LM, keep your AI models accurate and reliable.
Upload data, prompts, configs to run evaluations. Compare models, refine prompts, and fine-tune—all in one intuitive platform.
Move beyond trial-and-error—LLUMO Experiment empowers teams to build, test, and refine AI models faster than ever.
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.