Infinitus Launches No-Code AI Agent Builder for Healthcare
Infinitus Systems announced Studio, a platform that lets payors and pharmaceutical companies build and deploy AI agents without writing code. The company claims agents built on Studio are 40% more accurate than manually built versions and deploy 90% faster.
Studio addresses a real problem in healthcare: organizations struggle to choose between buying inflexible vendor solutions or building custom agents in-house, where pilots often fail in production. The new platform sits between those options.
How It Works
Users design agents through a natural-language interface, connect them to existing systems for real-time data, and test them at scale before deployment. The platform automatically flags performance issues and compliance problems across patient conversations.
A key feature is Agent Response Control (ARC), a patent-pending system that detects when a conversation requires strict safeguards-like a patient asking about medication dosage-and routes the interaction appropriately. This ensures agents maintain compliance while still sounding empathetic.
Early results show promise. A healthcare intelligence platform using Studio achieved a 93% success rate across all tasks.
Speed and Deployment
Studio compresses implementation timelines from months to days. Teams can move agents from concept to live deployment without waiting for engineering resources to write custom code.
The company has built this platform on seven years of experience managing over 100 million minutes of healthcare conversations. Infinitus counts 44% of Fortune 50 healthcare companies as customers.
The Broader Context
Healthcare organizations face mounting pressure to do more with fewer staff. AI agents can handle routine patient communications, appointment scheduling, and information requests-freeing clinicians for higher-value work. But deploying agents safely in healthcare requires strict controls around privacy, compliance, and patient safety.
Learn more about AI for Healthcare and how organizations are applying these tools. For deeper context on how agents work, see our guide to AI Agents & Automation.
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