RHA OneAI secures four enterprise clients in first operational quarter
The AI workspace platform has signed customers across retail, real estate, financial services and manufacturing, with deployments focused on improving productivity, workflow automation and enterprise AI governance.
RHA Technologies Founder and CEO Arun Meena said the customer wins reflect growing enterprise demand for AI platforms that integrate with existing business systems while providing security, governance and operational flexibility.
NEW DELHI: Enterprise AI platform RHA OneAI has secured four strategic enterprise customers during its first fully operational quarter, marking an early milestone for the unified AI workspace developed by RHA Technologies.
The new customers, drawn from the retail, real estate, financial services and manufacturing sectors, will deploy the platform to improve employee productivity, automate routine workflows and enable secure adoption of artificial intelligence across business functions.
According to the company, the platform combines enterprise knowledge, business applications and multiple AI models within a single secure workspace, allowing employees to search information, generate content, analyse data, automate workflows and collaborate using organisational data while maintaining governance controls.
RHA Technologies Founder and CEO Arun Meena said the customer wins reflect growing enterprise demand for AI platforms that integrate with existing business systems while providing security, governance and operational flexibility.
The company said the retail and real estate customers will use the platform to streamline product and project information management, automate customer support, and improve proposal, contract and sales workflows. The financial services deployment will focus on integrating internal knowledge repositories with business applications to support research, compliance and customer servicing.
RHA OneAI supports multiple foundation AI models through a single interface and offers role-based access controls, audit trails and deployment options, including private cloud and on-premises environments. The company said the platform is designed to help enterprises adopt AI while retaining control over organisational data and meeting regulatory and governance requirements.
The company reported that early deployments have resulted in faster decision-making, reduced manual effort, improved business communication and stronger collaboration across teams.
