Viebeg
The Client
Viebeg is a healthcare technology company transforming medical equipment procurement and lifecycle management across sub-Saharan Africa. Working with hospitals, NGOs, and government health systems, Viebeg helps healthcare providers improve access to critical medical equipment while supporting long-term maintenance, operational efficiency, and better patient outcomes.
As Viebeg continued expanding its platform, the organization partnered with RevStar to introduce agentic AI capabilities that make medical equipment troubleshooting faster, more accessible, and easier to scale across diverse healthcare environments.
Summary
Healthcare Tech Platform
Healthcare
Amazon Bedrock, AWS AgentCore, Amazon S3, Retrieval-Augmented Generation (RAG), AWS Lambda, REST APIs, Vector Embeddings
Solution Architecture, Delivery Management,AI/Data Engineering, DevOps Engineering
RevStar partnered with Viebeg to develop an agentic AI maintenance assistant that transforms medical equipment manuals into an intelligent knowledge base capable of delivering contextual troubleshooting guidance, automated escalation, and scalable maintenance support.
Established a scalable AI-powered maintenance platform that improves equipment troubleshooting, accelerates issue resolution, supports frontline healthcare teams, and creates a foundation for future real-time monitoring and predictive maintenance capabilities.
The Challenge
As Viebeg continued expanding medical equipment services across sub-Saharan Africa, the organization recognized an opportunity to make maintenance expertise more accessible to frontline healthcare teams.
Supporting hospitals, NGOs, and government health systems across diverse environments required a scalable way to deliver consistent troubleshooting guidance while creating a foundation for future intelligent maintenance capabilities.
Viebeg sought to transform technical documentation into an interactive knowledge resource capable of supporting equipment maintenance, accelerating issue resolution, and strengthening long-term healthcare operations.
The Problem
As Viebeg expanded its healthcare platform, the team sought a more scalable way to provide maintenance guidance for a growing portfolio of medical devices. Technical documentation, troubleshooting workflows, and maintenance knowledge needed to become more accessible, searchable, and actionable while supporting future automation and intelligent decision-making.
The Solution
RevStar partnered with Viebeg's to design an agentic maintenance solution that transforms technical documentation into an intelligent, AI-powered knowledge experience. Working as an extension of the Viebeg team, RevStar architected a scalable solution that enables healthcare providers to access contextual maintenance guidance, streamline troubleshooting, and support more informed maintenance decisions across a growing portfolio of medical devices.
Built on Amazon Bedrock, AWS AgentCore, and cloud-native AWS services, the solution establishes a scalable foundation for AI-powered maintenance operations while positioning Viebeg for future capabilities including real-time device monitoring, anomaly detection, and predictive maintenance.
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The Team
