Orpius is a secure operational AI platform that lets enterprises automate multi‑step business processes by describing tasks in plain language. The platform orchestrates autonomous AI agents, integrates with existing systems via a protected API layer, and provides built‑in secrets management, access controls, and audit logging to keep data and infrastructure safe.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses struggle to apply powerful AI tools to routine operational tasks because existing solutions require extensive coding, complex infrastructure, and lack secure, persistent execution across systems. This creates barriers to automating multi-step workflows that need to run continuously, handle sensitive data, and integrate with existing enterprise tools.
Solution
Orpius provides a secure, agentic execution platform that lets users describe desired outcomes in plain language and have AI agents carry out the work autonomously. The platform orchestrates multi-step workflows, manages state, and retries failures without manual intervention. It integrates with on‑premise, cloud or hybrid systems through configurable APIs, allowing data and models to remain where they reside. Built‑in security features—including secrets management, access controls, and audit trails—ensure that sensitive information is protected throughout execution. Users can choose any AI model (cloud, on‑prem, or local) and switch providers without redeveloping workflows, enabling flexible, future‑proof automation. The platform runs continuously, responding to schedules, events, or approvals, so operational tasks persist even when users are offline.
Target Audience
Orpius targets enterprise IT departments, operations teams, and development groups that need to automate complex, data‑sensitive business processes without building custom AI infrastructure.
Features
- Plain‑language task definition that the platform translates into executable AI‑driven workflows
- Event‑driven and scheduled triggers with durable state management and automatic retries
- Secure integration layer for connecting existing APIs, services, devices, and data sources
- Model‑agnostic execution supporting cloud, on‑premise, or local AI models with no vendor lock‑in
- Built‑in secrets management, role‑based access controls, and comprehensive audit logging
- Sandbox‑ed .NET code execution via WebAssembly for safe file and system operations
- Option for human‑in‑the‑loop checkpoints alongside fully autonomous execution