Imagine running prompts through conversational AI for hundreds of inputs with one click, receiving evaluation scores for each output—find the best response and model.
Get accurate evaluations without ground truth. Customize 50+ KPIs with natural language and your data, so your evaluation co-pilot measures chatbot response just like you would.
We enable you to do data-driven iterations to optimize your chatbot response, context, and performance to reduce hallucinations and improve inference speed.
Upload your data and dive right into testing. Easily compare outputs with one-click evaluations using advanced techniques like RAGAs & LLUMO Eval LM. Deliver AI projects before deadlines with top-tier performance!
LLUMO AI automatically logs every iteration, so you can skip the documentation and focus on refining your prompts. Plus, sharing experiments with your team is a breeze for smooth collaboration.
Customize over 50 KPIs using natural language and your raw data. Imagine having an evaluation co-pilot that automatically tests and optimizes your conversational AI, ensuring peak accuracy in no time!
With our customizable KPIs and playground, your AI teams can experiment more, deliver better chatbot response, and go from prototype to production 10x faster.
We go beyond evaluations — our insights come with specific, actionable recommendations on how to refine your chatbot response, conversational AI, or workflow to keep your AI consistently performing at its best.
Easily integrate our API to streamline your entire conversational AI workflow—from prompt engineering to production to customer success analysis. Make everything effortless with a simple API integration.
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.