Arina AI provides a Vertical Intelligence OS that equips modern enterprises, hospitals, and universities with industry‑specific AI solutions built on open‑source large language models. Its platform delivers sovereign, locally hosted intelligence—such as professor and student co‑pilot agents for education and secure enterprise agents for healthcare—enabling legacy institutions to shift from static record systems to high‑velocity, data‑controlled intelligence workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare, education, and large enterprises often rely on static legacy record systems that require extensive manual effort to extract actionable insights, leading to inefficiencies, data silos, and limited real‑time decision support.
Solution
Arina AI offers a Vertical Intelligence Operating System that layers purpose-built AI agents onto existing institutional data stores. The platform, built on the Arina Grid and open‑source large language models, creates a real‑time intelligence layer while keeping data under the organization’s control. Industry‑specific agents automate routine tasks, reduce cognitive load, and provide high‑precision workflow support for hospitals, university campuses, and complex enterprises. A 99.9 % fidelity synchronization ensures that the AI layer remains consistent with the source records, enabling immediate operational impact without disrupting legacy infrastructure.
Target Audience
Primary customers are hospitals, university campuses, and large enterprises that need to augment existing record systems with domain‑aware AI to streamline operations and improve decision‑making.
Features
- Vertical‑specific AI agents (e.g., education co‑pilots, healthcare assistants, enterprise intelligence) trained on domain data
- Sovereign data architecture that runs locally on open‑source LLMs for full control and cost management
- Real‑time 99.9 % fidelity sync between legacy record systems and the AI intelligence layer
- Purpose‑built workflows that automate high‑stakes tasks in clinical, academic, and enterprise environments
- Integrated performance monitoring tools such as Active Scribe and Cognitive Load analysis