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.
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?
- 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.
- 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 Observability | Nebuly | |
|---|---|---|
| Data | Model logs and traces | Real conversations and behavioral signals |
| Feedback model | Explicit ratings + benchmarks | Implicit + explicit signals across 100% of interactions |
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.Where to go next
- Deploying Nebuly? Start with Setting up Nebuly.
- Already have an environment? Jump to How to send data to Nebuly or learn how to navigate the platform.
- Looking for analytical depth? Explore Failure Intelligence and Reports.