Trusted by many, across their companies and within their products
LLUMO AI solutions
Why Observe?
360°
View
Close watch on AI model behavior, detect inaccuracies, and capture real-time performance data using an interactive dashboard.
50+ KPIs
End to End Observality
Real-time LLM monitoring: detect anomalies, track drift, and get proactive recommendations—before issues arise.
1 click
Insights & Alerts
Real-time alerts for performance issues. Track errors to LLM responses, prompts and retrieval pipeline to pinpoint inefficiencies.
Available Integrations
Seamlessly integrate and enhance LLMs performance, irrespective of language models or RAG setup.
Iterate | Monitor | Real-Time Insight
- Monitor your end-to-end AI workflows in real-time
- Detect behavioral changes, and identify inaccuracies, all within a single dashboard.
360° Workflow Visualization
Gain full visibility into your AI processes with a comprehensive dashboard that provides deep insights into model performance, response trends, and behavioral changes.
Actionable Metrics
Track hallucinations, response accuracy, user engagement, query volume, token efficiency and much more to ensure optimized AI workflow performance. Guardrail your AI model with Custom KPIs as per your industry needs.
Guardrail Your AI with Custom, Industry-Specific KPIs.
- Track your LLM’s performance with customized KPIs
- Go beyond thumbs up or down to actionable insights.
Proactive Error Detection
Detects inefficiencies before they impact users. Reduce AI hallucinations, optimize response structures, and refine model alignment using data-driven recommendations.
Data-Driven Insights
Eliminate guesswork with real-time performance monitoring to pinpoint what works and what not.
Monitor your Gen AI Models in production!
- Real-time snapshot of LLM performance
- Customize your monitoring as per your use case and data
Continuous AI Performance Monitoring.
Keep an eye on model drift, latency issues, and accuracy shifts over time. Stay ahead of performance bottlenecks with real-time analytics.
Seamless Integration & Scalable Monitoring.
Integrate LLUMO Observe with your tools effortlessly. Monitor multiple AI models at scale for consistent and reliable performance.
Smarter AI, Every Step of the Way
Move beyond static evaluations—Observe keeps your AI sharp, responsive, and aligned with real-world demands.
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?