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Nebuly is the analytics platform for Generative AI applications. As organizations deploy AI assistants, copilots, and agents across customer-facing and internal workflows, conversations become the primary interface between users and AI—but also the largest source of untapped product and business intelligence. Unlike traditional web or mobile applications, where user behavior can be measured through clicks, page views, and events, AI applications generate unstructured conversations that are difficult to analyze at scale. As a result, organizations often struggle to understand how users interact with AI, where conversations break down, whether employees are using AI effectively, and what business value AI is actually creating. Nebuly closes this visibility gap by transforming every AI interaction and conversation into structured business insights. It automatically analyzes user behavior, detects failures and business risks, measures AI proficiency and ROI, and surfaces the metrics organizations need to continuously improve their AI products and demonstrate business impact.

Why Nebuly exists

Most organizations deploying Generative AI have limited visibility into how users actually experience their AI applications. They know people are using AI, but not what users are trying to accomplish, where conversations fail, or whether AI is creating business value. Traditional feedback mechanisms provide only a partial picture:
  • Low coverage — Fewer than 1% of interactions receive explicit feedback.
  • High bias — Users typically leave feedback only after exceptionally good or bad experiences.
  • Designed for traditional software — Product analytics tools measure clicks and page views, not natural language conversations.
Nebuly takes a different approach. Instead of relying on users to provide feedback, it treats every conversation as a source of behavioral data. By combining explicit feedback with implicit signals—such as user behavior, conversation flow, and AI responses—Nebuly analyzes 100% of interactions, giving organizations a comprehensive and unbiased view of user experience, AI quality, and business impact.

What Nebuly does

Nebuly is built around two complementary use cases: AI Workforce and Customer Experience.

AI Workforce

Nebuly also helps organizations understand how employees and internal stakeholders use AI in their daily work. Beyond measuring adoption, it provides visibility into how effectively AI is being used and what business value it generates. As AI becomes embedded across the workforce, AI spend is set to become a major cost line for organizations. Companies will increasingly need to understand whether that growing investment is translating into meaningful productivity and business outcomes—or simply adding cost. With built-in AI Proficiency and AI ROI analytics, organizations can connect AI usage to value: identify employees who would benefit from additional training, measure productivity improvements, quantify time and money saved, and understand which AI tools and use cases generate the greatest return on investment.

Customer Experience

Nebuly helps you understand how customers interact with your AI applications. Every conversation is automatically analyzed and enriched with AI-generated insights, allowing you to understand what users are trying to accomplish, how they feel, where they encounter friction, and which business topics matter most. Instead of manually reviewing conversations, product and business teams can quickly answer questions such as: What are users asking my AI? Which topics are growing? Where do users become frustrated? Which business risks should I prioritize?

Who Nebuly is for

Nebuly is designed for organizations running Generative AI applications in production. It is used by teams responsible for delivering, improving, and measuring the success of AI across the business. Typical users include:
  • AI Leaders (Head of AI, VP of AI, CTO, CIO) who need a complete view of AI adoption, quality, proficiency, and business impact across the organization.
  • HR, Learning, and AI Enablement teams who want to measure employee AI proficiency, identify training opportunities, and track improvements in AI adoption and productivity.
  • Product teams who want to understand how customers interact with AI, identify unmet user needs, and prioritize product improvements based on real usage.
  • Engineering & AI teams who need to investigate failures, improve AI quality, and monitor the performance of AI applications in production.
  • Business, Operations, and Customer Success teams who need to measure AI ROI, monitor customer experience, and demonstrate the value generated by AI initiatives.

Where Nebuly fits in the AI stack

Nebuly complements your existing AI infrastructure. It does not replace your LLM provider, orchestration framework, or observability platform. Instead, Nebuly sits on top of your AI applications and analyzes real user conversations to help you understand how people interact with AI, where they struggle, and what business value AI generates. Unlike traditional AI monitoring tools, Nebuly focuses on the user and employee experience, not the underlying model. Nebuly works alongside your existing AI tooling.
  • LLM providers generate responses.
  • Observability platforms monitor model execution, latency, costs, and infrastructure.
  • Evaluation frameworks benchmark prompts and models in controlled environments.
  • Nebuly analyzes what happens when AI meets real users and employees: how AI is being used, where it succeeds or fails, and whether that usage translates into measurable business value.

The platform

The Nebuly platform is the central place to analyze AI usage, investigate what is driving your metrics, and adapt the analytics to your business. Nebuly provides built-in reports for key areas such as AI proficiency, ROI, customer experience, and much more. You can also build your own reports and highly customizable charts, combining metrics, dimensions, filters, and breakdowns to track the insights that matter most to your organization. Every insight is connected to the underlying data. From a high-level KPI or chart, you can drill down into the conversations and individual interactions behind it—making it easy to move from what is happening to understanding why it is happening. The platform can also be tailored to how your organization operates. You can create custom taxonomies, define user groups, configure ROI models, and customize how Nebuly categorizes and analyzes your AI data. This makes Nebuly both an out-of-the-box analytics platform and a flexible environment for building the AI measurement framework your organization needs.

Deployment

Nebuly is available in two deployment models:
  • Nebuly Cloud (SaaS) – Fully managed by Nebuly, providing the fastest way to get started without managing infrastructure.
  • Self-Hosted – Deploy Nebuly in your own cloud or on-premises environment for organizations with specific security, compliance, or data residency requirements.
Both deployment options offer the same core functionality and are built to enterprise-grade security and compliance standards. For a detailed comparison, see Deployment modes here.