Trusted by many, across their companies and within their products
LLUMO AI solutions
Why LLUMO AI?
10X
Faster Prompt Optimization
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.
50+
Customizable KPIs
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.
30%
Fewer Hallucinations
We enable you to do data-driven iterations to optimize your chatbot response, context, and performance to reduce hallucinations and improve inference speed.
Evaluate | Optimize | Automate - in one click!
- Test Multiple AI Models in One View:Effortlessly test and compare all conversational AI in one place
- Use Case-Specific Evals:Quickly analyze hundreds of chatbot response with LLUMO Eval LM
The Ultimate Prompt Engineering Playground
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!
Focus on Results, Not Documentation
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.
Automated, Human-Like Evaluation
- 360° Workflow Visualization:Your evaluation co-pilot who gets evaluation done for you
- Continuous Monitoring:Save evaluation time, run more experiments
Easily Customizable KPIs
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!
Launch AI products faster
With our customizable KPIs and playground, your AI teams can experiment more, deliver better chatbot response, and go from prototype to production 10x faster.
Actionable Insights, Not Just Evaluations
- Cost Optimization:We’ll tell you how to refine your prompts, conversational AI, or workflow
- Reduce Hallucinations:Get 360° conversational AI Performance Visibility
Smart Recommendations
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.
Real-Time, Data-Driven Insights
In production, eliminate guesswork with real-time performance monitoring to pinpoint what works and what doesn’t. Use data-driven insights to make your prompt, more effective, faster, and cost-efficient.
Rapid API Integration
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.
Wall of love
Testimonials
Don't just take our word for it - see what actual users of our service have to say about their experience.
Nida
We used to spend hours digging through logs to trace where the agent went wrong. With the debugger, the flow diagram shows errors instantly, along with reasons and next steps.
Jazz Prado
Hallucinations in our customer support summaries were slipping through unnoticed. LLUMO’s debugger flagged them in real time, helping us prevent misinformation before it reached clients.
Shikhar Verma
Managing multi-agent workflows was messy, too many moving parts, too many blind spots. The debugger finally gave us clarity on what happened, why, and how to fix it.
Jordan M.
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.
Sarah K.
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.
Nida
We used to spend hours digging through logs to trace where the agent went wrong. With the debugger, the flow diagram shows errors instantly, along with reasons and next steps.
Jazz Prado
Hallucinations in our customer support summaries were slipping through unnoticed. LLUMO’s debugger flagged them in real time, helping us prevent misinformation before it reached clients.
Shikhar Verma
Managing multi-agent workflows was messy, too many moving parts, too many blind spots. The debugger finally gave us clarity on what happened, why, and how to fix it.
Jordan M.
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.
Sarah K.
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.
Nida
We used to spend hours digging through logs to trace where the agent went wrong. With the debugger, the flow diagram shows errors instantly, along with reasons and next steps.
Jazz Prado
Hallucinations in our customer support summaries were slipping through unnoticed. LLUMO’s debugger flagged them in real time, helping us prevent misinformation before it reached clients.
Shikhar Verma
Managing multi-agent workflows was messy, too many moving parts, too many blind spots. The debugger finally gave us clarity on what happened, why, and how to fix it.
Jordan M.
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.
Sarah K.
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.
Mike L.
Integration was surprisingly quick, took less than 30 minutes. Now every agent run automatically and logs into the debugger, so we catch failures before they cascade.
Ryan
Before LLUMO, debugging meant replaying the entire workflow manually. With the SDK hooked in, we see real-time insights without changing how we build.
Sonia
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.
Amit Pathak
Our pipelines were growing complex fast. LLUMO brought clarity, reduced hallucinations, and sped up our inference, making our workflows feel rock solid.
Michael S.
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.
Priya Rathore
Evaluating models used to be a guessing game. LLUMO’s EvalLM made it clear and structured, helping us improve models confidently without hidden surprises.
Mike L.
Integration was surprisingly quick, took less than 30 minutes. Now every agent run automatically and logs into the debugger, so we catch failures before they cascade.
Ryan
Before LLUMO, debugging meant replaying the entire workflow manually. With the SDK hooked in, we see real-time insights without changing how we build.
Sonia
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.
Amit Pathak
Our pipelines were growing complex fast. LLUMO brought clarity, reduced hallucinations, and sped up our inference, making our workflows feel rock solid.
Michael S.
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.
Priya Rathore
Evaluating models used to be a guessing game. LLUMO’s EvalLM made it clear and structured, helping us improve models confidently without hidden surprises.
Mike L.
Integration was surprisingly quick, took less than 30 minutes. Now every agent run automatically and logs into the debugger, so we catch failures before they cascade.
Ryan
Before LLUMO, debugging meant replaying the entire workflow manually. With the SDK hooked in, we see real-time insights without changing how we build.
Sonia
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.
Amit Pathak
Our pipelines were growing complex fast. LLUMO brought clarity, reduced hallucinations, and sped up our inference, making our workflows feel rock solid.
Michael S.
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.
Priya Rathore
Evaluating models used to be a guessing game. LLUMO’s EvalLM made it clear and structured, helping us improve models confidently without hidden surprises.
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FAQs
01 Can I try LLUMO AI for free?
02 Is LLUMO AI secure?
03 What models does LLUMO AI support?
04 Is LLUMO compatible with all LLMs and RAG frameworks?
05 Can I use LLUMO with custom-hosted LLMs?