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Nebuly
Analyze user interactions with LLMs to uncover satisfaction trends, power users, and cost-benefit insights for AI development.

About Nebuly
Nebuly is a user intelligence platform built for large language models (LLMs) that analyzes every interaction between users and LLMs. It monitors user behavior in real time, extracting key insights such as what users like or dislike, the most common questions, and patterns in satisfaction. The platform helps businesses understand their users more deeply by identifying power users, dissatisfied users, and emerging trends in engagement. Nebuly also tracks costs associated with LLM usage, linking them directly to user satisfaction levels to provide a clear cost-benefit analysis. This enables teams to optimize AI workloads, improve model performance, and align development efforts with actual user needs. By capturing instant user feedback, it supports iterative improvements and efficient resource allocation across AI projects.
Key features
- Real-time monitoring of LLM user interactions
- Tracking of user satisfaction trends and sentiment
- Identification of power users and dissatisfied users
- Cost tracking linked to user satisfaction levels
- Instant user feedback collection
- Analysis of frequently asked questions
- Efficient AI workload management insights
- Behavioral pattern recognition in user engagement
Use cases
- Analyze LLM interactions to improve model performance
- Monitor user behavior to identify pain points and opportunities
- Optimize AI development by linking user satisfaction to costs
Pros
- Provides real-time analytics on user interactions with AI agents and LLMs
- Tracks adoption patterns, user satisfaction, and productivity gains across departments
- Identifies training needs and fluency gaps in AI usage
- Links LLM costs to user outcomes for clear cost-benefit analysis
- Surfaces unmet needs and emerging trends in AI agent usage
Cons
- Requires integration with existing AI systems to capture data
- May introduce complexity in interpreting nuanced user feedback
- Dependent on the quality and volume of AI agent interactions for meaningful insights
Frequently asked questions about Nebuly
What does Nebuly do?
Nebuly is an enterprise user analytics platform for AI agents that captures and structures conversations between employees or customers and AI systems. It reveals adoption patterns, unmet needs, and ROI signals from these interactions to help leaders make data-driven decisions.
Who should use Nebuly?
Nebuly is designed for enterprises deploying internal or customer-facing AI agents, including IT, data science, marketing, HR, and product teams looking to measure adoption, fluency, and productivity gains from AI interactions.
How does Nebuly calculate AI ROI?
Nebuly maps completed AI tasks to time saved and estimated dollar value, tracking productivity gains from each interaction. It links cost data to user satisfaction to provide a clear cost-benefit analysis for AI workloads.
Can Nebuly identify training needs for AI users?
Yes, Nebuly assesses AI fluency across departments and roles, highlighting who needs targeted training based on their interaction patterns and success rates with AI agents.
Does Nebuly support customer-facing AI agents?
Yes, Nebuly analyzes conversations from both internal employees and external customers to surface real questions, tasks, and workflows, helping businesses understand user behavior across all AI touchpoints.
How do I get started with Nebuly?
Prospective users can book a demo or try the playground on the Nebuly website to explore how the platform structures AI conversation data and surfaces actionable insights for their organization.
Nebuly traffic & engagement
nebuly.com · third-party estimates from Similarweb
Traffic trend
Last 4 months · grows by one month every month
- Jun 20266.5K
- Jul 202611K+72.6%
- Aug 20267.7K−31.4%
- Sep 20266.4K−16.8%
Top countries
Share of visits · estimated visits
Compared with similar tools
Business & Marketing · Sep 2026
Traffic figures are third-party estimates, good for scale and trends; they can differ from a company's own numbers. Updated monthly.