Test and compare LLMs effortlessly with LLUMO Eval LM. Analyze hundreds of outputs side-by-side to save time and optimize performance.
Optimize LLM costs with advanced prompt & RAG compression. Improve precision and reduce hallucinations.
Smart prompt and RAG compression, streamlines data input and optimize responses. Enhanced accuracy and reliability in LLM outputs.
Seamlessly integrate and enhance LLM performance, irrespective of language models or RAG setup.
Test against various AI models, use different prompts, update RAG context, fine tune LLM parameters all on a single playground.
Deploy with ease using a simple one-click setup that works with your software or platform, and integrate seamlessly with other tools.
Keep tabs on key performance indicators that matter most, including critical metrics for conversational AI.
Use real-time KPI tracking to pinpoint areas for improvement and ensure your workflow is always performing at its best.
Optimize will guide you on the exact next steps that are required to solve issues in your AI workflow. Optimize based on real-time insights to enhance workflow performance continuously.
We go beyond monitoring—our insights come with specific, actionable recommendations on how to refine your prompts, model, or workflow to keep your LLMs consistently performing at their best.
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.