All AI/NLP

To date, Infinitus automates calls on behalf of healthcare providers to more than 500 payors. Those calls are faster and result in more accurate data for our customers, but we’re still often asked: Why do payors take calls from the Infinitus digital assistant? As it is for healthcare providers, digital transformation is a top priority...

Artificial intelligence (AI) dominates today’s headlines, with the stories see-sawing between two fears: AI will take over our brains, or humans will also lose their jobs to AI. “AI doomerism,” as the Techdirt blog calls it, sees little middle ground between humans and AI.  But at Infinitus, we have a more positive vision of the...

The new year is a time of hope and renewal, of setting goals and refocusing on the big picture. But it is also a time of uncertainty when it comes to health insurance; with the new year comes changes in health insurance coverage, cost share, and authorization requirements. This annual cycle creates uncertainty for patients about...

Recently, Arushi Raghuvanshi, Infinitus’ machine learning lead, presented the results of an Infinitus research project at the Association for Computational Linguistics annual meeting. The resulting research paper, “Leveraging Explicit Procedural Instructions for Data-Efficient Action Prediction,” explored leveraging explicitly stored agent guidelines, such as company policies, customer service manuals, or documents on standard operating procedures, to...

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...

We talk about being vulnerable in our day to day lives. Let's do that for our AI products as well. It'll enable everyone to understand the power, pitfalls and progress that our computers are making.

There hasn’t been as much production level automation in longer form conversations, including phone calls, but there is a need for it. Many business operations today still happen over the phone and we discuss how we are solving these issues.

We’re excited to announce that the Infinitus AI Benefit Verification offering is now generally available, and that we have raised $21.4 Million in Series Seed and Series A funding from Kleiner Perkins and Coatue Management.

Today, my co-founder Shyam Rajagopalan and I are introducing the world to Infinitus, a voice robotic process automation (Voice RPA) company targeted to reduce the complexity and cost of healthcare in the United States. We have been working on this project since February 2019 and are excited to share our progress on it on this blog over the coming years.

In this post, I outline some of the breakthroughs we have had to make and preview some of the exciting technical challenges that lay ahead.

This week, we’re excited to be featuring Conal Sathi. Conal has been building the computer brains that drive the conversations that the Infinitus digital assistant has. From rule based systems to self-learning models, Conal has been pulling out all stops to make sure our customers are getting the most out of their Infinitus experience.