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At Infinitus, our voice AI agents can call payors on behalf of healthcare providers to collect detailed patient benefits and prior authorization data. These calls are complex and lengthy (often over an hour), and require navigation through convoluted IVRs, long hold times, and transfers to human representatives.  Our AI agents operate on a multimodal, multi-model...
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We’re excited to share a new model architecture that outperforms other approaches for phone call automation in our real world, healthcare setting. The model is a graph aware language transformer, which has more flexibility than traditional model pipelines and more reliability (meaning no hallucinations), as well as lower latency than the latest prompt models for...
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We often speak about the importance of humans in the loop in AI, and how Infinitus uses humans in concert with our purpose-built AI system. Our human experts serve a number of roles in our ecosystem, including stepping into live calls the Infinitus AI agent is conducting with payor representatives. This may occur if the...
A graphic depicting the knowledge graph, and how it fits into the Infinitus purpose-built AI system.
Our customers have referred to Infinitus voice AI agents as the best performers on their team. And while these AI agents may seem like magic to the payor representatives, patients, and providers they speak to, it is in fact the Infinitus knowledge graph that powers much of the agents’ capabilities.  Those capabilities are anything but...
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How we use humans in concert with our multi-model, multimodal AI system to deliver real efficiency to over a dozen Fortune 500 healthcare customers Automating administrative phone calls in healthcare is no easy feat. The benefit verifications and prior authorization inquiries Infinitus automates can be an hour long, with hundreds of back-and-forth interactions that require...
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Recently there have been huge advancements in the ability of large language models (LLMs) to handle conversational systems. In many practical industry settings, the conversational AI systems we want to build are task-oriented dialog systems (TODs). In these systems, the goal is to help a user complete a task or collect certain information. For many...

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