Track LLM responses with full input-output context, quickly spot and fix prompt or logic issues, and compare multiple model performances in a single view.
Identify failure patterns with live monitoring, refine responses using contextual feedback, and build evaluations to systematically reduce hallucinations over time.
Evaluate agents step-by-step with full memory visibility, enforce guardrails and decision audits, and build trustworthy AI that scales confidently across use cases.
Seamlessly integrate and enhance LLMs performance, irrespective of language models or RAG setup.
Effortlessly track evaluation scores, spot error patterns, and uncover performance trends to fine-tune your AI workflows and boost reliability at scale.
Quickly debug prompt failures, model issues, and API inconsistencies using clear, searchable logs—empowering you to improve AI reliability without the guesswork.
Compare outputs from OpenAI, Claude, Groq, and others using consistent, meaningful evaluation criteria.
Monitor improvements and regressions in your LLM workflows with clear, actionable evaluation insights.
Track and log every decision and API call seamlessly, ensuring transparent, explainable agent operations so you can build trust and confidently scale your AI workflows.
Build trust in your AI by systematically monitoring, analyzing, and refining agent behaviors across workflows, ensuring reliable, high-quality performance your team can depend on.
Easily integrate your existing agents or AI workflows with LLUMO AI using our simple SDK or API integration without any coding-hassle.
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.