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Larridin is a usage tracker. Nebuly is the ROI platform for enterprise AI, measuring the value inside your AI conversations.
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Nebuly and Larridin answer different questions. Larridin belongs to the usage-tracking category: it reports how much AI is used across a workforce. Nebuly is the ROI platform for enterprise AI: it analyzes 100% of the conversations with your AI agents and copilots and measures the value inside them, time saved, revenue influenced, and AI proficiency, along with the risks that erode value. Usage tells you AI is being used. ROI tells you what it returned, and that only comes from the conversations.
TWO DIFFERENT QUESTIONS
Measuring enterprise AI splits into two questions
The first is "how much is AI being used." That is a usage question, answered by tracking activity: which tools are opened, by whom, how often. Larridin sits here.
The second is "what is our AI worth." That is a value question, and it cannot be answered by activity data. Whether a task succeeded, whether the user got what they needed, how much time was saved, and whether the exchange created business risk, none of that is visible from the outside. It is only visible in the conversation. Nebuly is built for this question.
What Nebuly does
Nebuly reads the conversations between users and your AI agents and copilots and turns every interaction into structured evidence of value.
It ingests conversations through a vendor-agnostic Interaction API and from the systems enterprises already run, including Microsoft 365 Copilot, ChatGPT Enterprise, Claude, Gemini Enterprise, and Langfuse. From each conversation it extracts intent, topics, sentiment, emotion, implicit and explicit feedback, failures such as hallucinations and unhandled requests, and business risks like PII exposure or policy violations. Those signals roll up into the three measures leadership tracks:
Time saved — task completion valued against your own benchmarks for the equivalent manual work.
Revenue influenced — commercial intent and retention risk surfaced from customer conversations.
AI proficiency — how effectively teams and regions actually use AI, and where enablement is needed.
Feedback in most AI products covers fewer than 1% of interactions and skews to the very happy and the very frustrated. Nebuly analyzes all of them, so the picture reflects reality rather than a self-selected sample.
Why value cannot be measured from the outside
Activity data records that a tool was opened. It does not record whether the task was completed, whether the answer was right, whether the user was satisfied, or whether the interaction exposed the business to risk. Those are the facts that determine ROI, and they exist only inside the conversation.
Nebuly measures them directly: task success, time saved, sentiment, failures, and compliance risk, per interaction and rolled up across the organization. That is the difference between an adoption number and a defensible ROI number.
Nebuly is used by Global 2000 and Fortune 500 organizations across financial services, insurance, telecom, industrial and automotive, healthcare, and retail. It is built for how large enterprises run AI:
Privacy-first and self-hosted. A self-hosted deployment runs all analysis inside your own environment, so conversation data never leaves your perimeter. PII is stripped before analysis.
Enterprise-grade security and compliance. SOC 2, ISO 27001, and ISO 42001.
Vendor-agnostic. One Interaction API ingests conversations from any agent, copilot, or assistant, internal or customer-facing.
Governed visibility. Analysis is broken down by department and geography, with controls from full analytics to aggregate-only or opt out.
What is the difference between Nebuly and Larridin?
They answer different questions. Larridin is a usage tracker: it reports how much AI is used across a workforce. Nebuly is the ROI platform for enterprise AI: it analyzes the conversations with your AI agents and copilots and measures the value inside them, time saved, revenue influenced, and AI proficiency, plus risk.
Can you measure AI ROI from usage data?
No. Usage data shows that a tool was opened, not whether the task succeeded, whether the user got value, or whether the interaction created risk. ROI depends on those outcomes, and they exist only inside the conversation. Nebuly measures the conversation directly, which is why it can produce a defensible ROI number.
Does Nebuly track individual employees on their devices?
No. Nebuly does not install endpoint agents on employee devices. It analyzes conversations sent through its Interaction API or pulled from enterprise AI assistants, strips personally identifiable information before analysis, and offers visibility controls down to aggregate-only views.
Can Nebuly measure customer-facing AI?
Yes. Because Nebuly reads conversations, it measures both internal copilots and customer-facing agents. For customer-facing AI, value shows up as revenue signals such as retention and expansion.
Is Nebuly built for large enterprises?
Yes. Nebuly is used by Global 2000 and Fortune 500 organizations, offers a self-hosted deployment where data never leaves your perimeter, and is built to SOC 2, ISO 27001, and ISO 42001 standards.
