Trust your AI before it touches your customers or your critical business processes.
Deploying AI without rigorous testing is a business risk that most organisations underestimate. Unlike traditional software, AI outputs are probabilistic, the same input can produce different results, and failure modes are not always obvious until it is too late.
Nextgenlytics AI Testing provides a comprehensive validation framework , powered by our Owlsight anomaly-detection and reconciliation engine, that ensures every AI agent, model, and LLM-powered workflow you deploy is accurate, safe, fair, and ready for enterprise-scale use before it ever reaches a live environment. It applies to any AI implementation, including BlueGecko agents, conversational AI, and third-party models.
Real capability
Powered by Owlsight's anomaly detection and reconciliation engine. Applicable to any AI implementation including BlueGecko agents, Conversational AI, and third-party models.
We use automated LLM-as-a-judge frameworks to score AI responses for relevance, coherence, and factual accuracy, systematically catching hallucinations before they reach users or critical systems.
We simulate prompt injection attacks and edge-case scenarios to verify that your AI cannot be manipulated into bypassing security protocols or surfacing sensitive information.
We test models against diverse datasets to identify and mitigate algorithmic bias, ensuring your AI remains ethical and compliant with global regulations including the EU AI Act.
When your internal data changes, we verify that your Retrieval-Augmented Generation systems continue to provide the correct context and accurate answers, without quality degradation.
We measure how your AI performs under high-concurrency load, ensuring ERP-integrated agents respond in real time without becoming a bottleneck to your operations.
Continuous drift monitoring, audit-ready evidence, and frameworks that scale with your risk profile.
LLM evals, red teaming, bias audits, RAG regression, and performance benchmarking, delivered end to end.
AI models degrade over time as your data changes. We build ongoing monitoring frameworks that ensure your AI performs just as well on day 300 as it did on day one.
Every test generates a detailed, traceable audit trail, giving you the documentation required for regulated industries and the confidence to go live with board-level accountability.
Whether you are deploying a small internal tool or a global consumer-facing agent, our testing frameworks scale to match the risk level and complexity of your AI application.
