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Nebuly gives teams user analytics built specifically for Generative AI products. As enterprises deploy chatbots, copilots, and AI agents across customer-facing and internal tools, conversational interfaces create a critical visibility gap. Unlike traditional web or mobile apps where behavior is tracked through clicks and page views, unstructured dialogue is largely opaque. As a result, companies struggle to measure the ROI of their AI initiatives and pinpoint where their models are falling short. Nebuly closes this gap by transforming every user-AI interaction into structured, actionable insights.

Why Nebuly exists

Most teams shipping GenAI products operate in the dark. They know their AI is being used, but cannot see how, why, or whether it is delivering value. Traditional feedback mechanisms (thumbs up/down, surveys) are notoriously unreliable in conversational UX:
  • Coverage is tiny. Less than 1% of interactions receive explicit feedback.
  • Bias is extreme. Users only rate when they are very satisfied or very frustrated, missing the vast moderate middle.
  • Click-stream analytics don’t fit. Tools like Amplitude or Pendo were built for buttons and pages, not natural language.
Nebuly treats every interaction as feedback. By analyzing 100% of conversations through a combination of explicit and implicit signals, the platform delivers a representative view of user experience without requiring active user participation.

What Nebuly does

With Nebuly, product and business teams can answer questions like:
  • What are users actually asking my AI agent?
  • Which topics are growing in volume week over week?
  • Are users satisfied with the responses they get?
  • Is my AI driving real value — and how do I measure it?
Ingest conversation logs through a vendor-agnostic Interaction API and have Nebuly automatically enrich them with structured analytics:
  • User intents and user actions: what users are actually trying to accomplish.
  • Topics: themes and subjects users care about, automatically clustered.
  • Sentiment and emotion: six sentiment levels and 29 distinct emotional states detected from psychological literature.
  • Implicit and explicit feedback: signals of frustration, rephrasing, abandonment, or satisfaction.
  • Failure detection: silent failures, hallucinations, off-topic requests, language gaps, unhandled queries.
  • Business risks: interactions that need attention, from safety and compliance issues (PII exposure, toxic content, policy violations) to user complaints or dissatisfaction directed at your company, plus custom-defined risks.
Architecturally, the product is split into two complementary analytical layers, both accessible from the sidebar:
  • User Intelligence: the human side. Who your users are, what they want, how they feel, how they segment.
  • Failure Intelligence: the diagnostic side. Where the AI fails to deliver value, why, and how often.

Who Nebuly is for

Nebuly is built for AI, product, and revenue teams operating GenAI products at enterprise scale. Typical users include:
  • Product managers who need to know which features get adopted and which user goals go unmet.
  • AI / ML engineers who need to debug silent failures and prioritize model improvements.
  • Customer success and revenue teams who need to measure ROI per department, role, or region.
  • Compliance and security teams who need to monitor PII leakage, toxic outputs, and policy violations.

How Nebuly is different from observability tools

Nebuly is sometimes considered part of the broader LLM monitoring stack, but it is not a traditional observability or evaluation tool:
Traditional LLM ObservabilityNebuly
DataModel logs and tracesReal conversations and behavioral signals
Feedback modelExplicit ratings + benchmarksImplicit + explicit signals across 100% of interactions
Nebuly does not provide or replace LLMs, it complements them with a user-centric control plane that turns conversations into product, growth, and risk decisions.

Deployment

Nebuly is available in two deployment options from day one, Cloud (SaaS) and Self-Hosted, both built to enterprise-grade security and compliance standards. See Nebuly deployment modes for the full comparison.

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