Tennr Secures $37M Series B to Revolutionize Healthcare Document Processing with AI

-

Healthcare AI startup Tennr has secured $37 million in a Series B funding round, just six months after its $18 million Series A. Led by Lightspeed Ventures, with participation from a16z and Foundation Capital, this latest round brings Tennr’s total funding to over $61 million. Tennr is using artificial intelligence (AI) to revolutionize how healthcare organizations manage and process the mountains of documents that flow through their practices day by day.

Tennr’s AI platform automates the labor-intensive tasks involved in handling medical documentation—whether it’s referral forms, insurance claims, or patient records—allowing healthcare providers to concentrate on what matters most: patient care. By automating these critical workflows, Tennr helps practices reduce patient wait times, increase throughput, and improve business outcomes.

AI-Powered Document Automation for Healthcare

Tennr’s technology stands out within the healthcare sector on account of its concentrate on document parsing and workflow automation tailored specifically for medical practices. Unlike general AI models that aim to serve multiple industries, Tennr’s machine learning models are designed with healthcare in mind. These models read, categorize, and reply to the complex, often messy documents that pass between healthcare providers. This includes the whole lot from patient intake forms to insurance claims, which incessantly contain data that’s difficult to parse for normal automation tools.

A key advantage of Tennr’s platform is its ability to handle healthcare-specific document challenges, akin to multi-patient records or forms with checkboxes, where existing technologies often fall short. For example, Tennr’s “Multi-Patient” model identifies which parts of lengthy documents correspond to specific patients, reducing the time needed to process forms and increasing accuracy. Moreover, the platform integrates a custom-built checkbox reader, developed from certainly one of the biggest datasets of labeled checkboxes, addressing a significant gap in existing AI solutions.

Tennr’s CEO, Trey Holterman, highlighted the need of this focus, stating, “

Significant Gains for Healthcare Providers

Tennr’s platform has already delivered substantial value to healthcare providers across the USA. By automating document workflows, practices can drastically cut down on administrative overhead. Where processing a patient’s documentation may need taken days or even weeks, Tennr’s platform reduces this to mere hours, allowing providers to see more patients faster and with fewer delays. Practices also profit from fewer insurance claim denials, which helps them capture more revenue in an environment where healthcare reimbursements are under pressure.

Darius Reid, Head of Operations at Total Medical Supply, noted the platform’s transformative impact:

Along with cutting down processing times, Tennr’s platform helps healthcare providers prevent costly errors. With its AI-powered document review, Tennr flags missing information or incorrect documentation before it reaches insurance providers, reducing claim denials and helping practices avoid time-consuming rework. This level of automation ensures that fewer staff are needed to administer administrative tasks, easing the burden on healthcare employees and stopping burnout.

Expanding Tennr’s Reach and Capabilities

With the brand new Series B funding, Tennr plans to grow its research and engineering teams, further refining its technology and expanding its market presence. The corporate goals to increase its services to more healthcare specialties that also depend on manual processes for document management. Over the following yr, Tennr expects its platform to facilitate the movement of greater than 10% of all patients referred throughout the U.S. healthcare system.

Tennr’s product isn’t nearly document management; it’s about improving your complete patient experience. This includes streamlining your complete pre-visit process in healthcare—from the moment a document is received to the purpose a patient is cleared with insurance and prepared for scheduling.

Constructing for the Way forward for Healthcare

Founded by a team of experts in AI and healthcare, Tennr combines cutting-edge machine learning with deep industry knowledge. The corporate’s platform automates the essential, yet tedious, administrative tasks that usually lavatory down healthcare providers. By processing and categorizing every document that comes through a healthcare practice, Tennr automates tasks akin to scheduling, patient qualification, insurance verification, and more.

For instance, Tennr ensures that healthcare practices have the proper documentation available for insurance claims. Its system cross-checks documents against comprehensive rule sets and flags any missing or misinformation. This helps practices avoid costly claim denials and audits. The platform even manages communications with patients and providers, ensuring that everybody involved in a patient’s care is up-to-date on the newest developments.

A Strategic Partnership with Lightspeed Ventures

Lightspeed Ventures, which led this latest round of funding, sees enormous potential in Tennr’s approach. Alex Kayyal, partner at Lightspeed, commented on the investment:

Conclusion

Tennr is on the forefront of a critical transformation in healthcare. By automating the document workflows that lavatory down medical practices, Tennr helps providers see more patients, reduce wait times, and avoid costly errors in insurance claims. As healthcare continues to evolve, Tennr is positioning itself as a key player in streamlining operations for providers across the U.S. With fresh funding in hand and a growing customer base, Tennr’s AI-powered platform is ready to change into an important tool for healthcare organizations seeking to improve each patient care and business performance.

ASK ANA

What are your thoughts on this topic?
Let us know in the comments below.

0 0 votes
Article Rating
guest
0 Comments
Oldest
Newest Most Voted
Inline Feedbacks
View all comments

Share this article

Recent posts

0
Would love your thoughts, please comment.x
()
x