GenAI Assurance

Ensuring trustworthy, reliable chatbots from data to dialogue. 

Overview

Getting real with chatbots

Product owners and QA teams face slow chatbot evaluation, lack of trust, and limited adaptability. Using Nimbus AI, we evaluate real conversations across 60+ business-relevant dimensions from accuracy and tone to hallucination risk in both LLM and non-LLM models.  

Our GenAI Assurance goes beyond agent validation to ensure app reliability, data integrity, and performance. 

It integrates seamlessly with RAG pipelines and APIs, supports automated test-case generation, and provides user-friendly dashboards, so your chatbot delivers accurate, context-aware responses that are fast and available when users need them most.  

Thought Leadership

Insights from our thought leaders ​

Navigating the Transition from ML Engineering to AI Engineering

Focus areas

How we do it

GenAI system assurance

We look at how your GenAI chatbot holds up in the real world, not just in ideal conditions. Whether users type in confusing prompts, the network slows down, or something unexpected happens, we check if your system stays steady and safe.  

With Nimbus AI’s confidence scoring, you get a clear sense of where the risks are, so you can fix issues before they reach production.

GenAI agent assurance

Good chatbots carry conversations. We provide enterprise-grade assurance by testing how well your chatbot remembers past messages, stays on topic, and maintains a consistent tone. 

Pick your industry & sub-domain, then Nimbus helps you catch glitches in memory, logic, or tone early, ensuring conversations feel smooth, natural, and trustworthy over time.

GenAI application assurance

Users want the right answers, in an interface that makes sense. We test how your chatbot performs across the entire experience, not just the model behind it. From the user interface and design flows to API and support tool integration, we ensure it all works together, driving fewer drop-offs and faster resolution. 

GenAI data assurance

Your chatbot is only as good as the information it runs on. Using Datagaps-powered validation, we check the quality and freshness of your prompt libraries, grounding docs, and vector stores to ensure answers are relevant and fact-based. That means fewer hallucinations, more credibility, and higher trust — especially in domains where facts matter. 

Features

Pick a feature or go full suite

1

QK Framework for robust AI testing and model trust

2

Real-time analysis of live AI assistant conversations

3

Non-LLM Evaluation for transparent, model-free testing

4

AI-driven scoring across 60+ evaluation parameters

5

Automated, dependable reports and QA dashboards

6

Seamless integration with RAG pipelines and APIs

Customer Benefits

Smart Assurance for Smarter Chatbots

Detects chatbot drift early with continuous monitoring

Enables easy audit trails for compliance needs

Offers clear explainability for business teams

Captures feedback to refine models post-launch

Simple onboarding for testers and business users

Supports A/B testing to validate improvements

SUCCESS STORIES

Challenges we’ve solved for our clients​

QK Helps Leading Indian Insurer Evaluate its Gen AI-powered Chatbot

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