Rhod AI provides an automated back‑office platform that can run in the cloud or on a customer‑owned appliance. The service not only streamlines routine administrative tasks but also secures and monitors all connected devices, offering continuous protection and visibility for enterprise infrastructure.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises face growing complexity in managing routine IT back‑office tasks such as device provisioning, configuration, and compliance, while also needing to protect and monitor a expanding array of connected assets. Manual processes increase operational overhead and expose organizations to security gaps and visibility blind spots.
Solution
Rhod AI delivers a cloud‑native or on‑premise appliance platform that automates back‑office workflows and embeds continuous security and monitoring for all connected devices. The system orchestrates routine administrative actions—like provisioning, patching, and policy enforcement—without human intervention, while simultaneously applying built‑in protection mechanisms and real‑time observation. All activities are coordinated through a unified intelligence layer that reduces manual effort, lowers risk, and provides a single source of truth for device state and security posture across modern IT environments.
Target Audience
Target customers are mid‑size to large enterprises and managed service providers that operate extensive fleets of networked devices and require automated, secure back‑office management.
Features
- Automated workflow engine for provisioning, configuration, compliance, and patch management
- Integrated threat detection and response capabilities that protect devices during automated operations
- Continuous monitoring and telemetry collection across on‑premise, cloud, and edge assets
- Deployable as a fully managed cloud service or as a customer‑owned appliance for data sovereignty
- Centralized dashboard offering real‑time visibility into device health, security events, and automation status
- Policy‑driven orchestration that adapts to heterogeneous hardware and software ecosystems