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Rivixi Research Lab

Applied AI. Published Proof.

Peer-reviewed methodologies, production case studies, and technical whitepapers from the team turning research into measurable ROI.

Mel-Spectrogram showing the continuous high-frequency energy typical of a micro-leak

RESEARCH PAPER

Seeing Sound: A Computer Vision Approach to Ultrasonic Leak Detection in Industrial Pipelines

How converting ultrasonic signals into Mel-Spectrograms and applying CNNs overcame the limitations of traditional heuristics in noisy industrial environments.

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2.25Cr-1Mo steel microstructure degradation stages

RESEARCH PAPER

AI vs. Metallography: Accelerating Outage Inspection in 2.25Cr-1Mo Steel Pipelines via MBN-RVX-AI

MBN-RVX-AI replaces slow replica metallography during outages with cloud CNN screening—over 92% accuracy on 2.25Cr-1Mo steel microstructural degradation.

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ProstorHelp Advanced RAG and agentic architecture diagram

CASE STUDY

Autonomous AI Agents in Tech Support: The ProstorHelp Architecture

How moving from scripted chatbots to autonomous ReAct agents with Advanced RAG enables zero-hallucination tech support for complex enterprise software.

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Two-level hybrid risk-scoring architecture for pipeline failure prediction

RESEARCH PAPER

Application of Hybrid ML Models for Pipeline Failure Prediction

A hybrid machine learning architecture combining static pipeline characteristics with temporal accident history to forecast failures in urban heat and water supply systems.

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