Powering the Next Generation of Audiology Clinics with Resonately

About the Company

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Resonately is an AI-powered health tech startup focused on the audiology sector. Founded by Raghav and Kenneth—both graduates of Harvard Business School—the company was born out of a sharp insight: audiologists and hearing care professionals were underserved by modern, verticalized software solutions.

Determined to modernize clinical workflows, the founders began building early prototypes with freelance developers. As the product gained initial traction, they saw an opportunity to embed AI deeply into the day-to-day operations of audiology clinics. One core use case was a voice AI assistant that could listen to conversations between doctors and patients, summarize the interaction, and trigger necessary follow-up actions—ultimately saving clinicians time and improving patient care. As the product’s potential became clearer, so did the need for a more scalable and robust technical foundation—leading them to partner with Tequity.

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The Challenge

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Despite early momentum, Resonately faced multiple execution hurdles:

• Scalability Concerns: The MVP built with freelancers could not support real-time, large-scale use cases. The architecture was limiting and not production-ready.
• Low Performance: The system took significant time to transcribe conversations, leading to lag in the workflow and user dissatisfaction.
• Poor Accuracy: The transcriptions often missed critical context and nuances, reducing clinical usefulness.
• Lack of Personalization: Different clinicians had different styles of note-taking and patient interactions, but the AI model treated all conversations uniformly.
• EMR Integration Gap: Getting the summarized notes into the Electronic Medical Record (EMR) systems was proving to be a major hurdle.
  
  

These issues threatened adoption by larger clinic networks and delayed product expansion.

Solution Implemented by Tequity

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Tequity was brought in to help take Resonately’s product from a promising idea to a scalable platform. The engagement involved rethinking the architecture, AI pipeline, and deployment workflows.

Key interventions included:

• Real-time Voice Processing: Tequity engineered real-time voice streaming using communication sockets and WebRTC, enabling instant transcription and interpretation of conversations.
• Improved AI Accuracy: Advanced models were trained and fine-tuned using audiology-specific data to capture context and clinical nuances.
• Custom AI Personalization: The solution was personalized for each clinician’s preferred note-taking style—ensuring better adoption and usability across varied workflows.
• EMR Integration via RPA: Tequity developed robotic process automation (RPA) agents that could take the AI-generated scribe output and push it directly into EMR systems, bypassing traditional integration roadblocks.
• Dedicated Team Structure: Tequity assembled a long-term team consisting of:
  
  
  
  • 1 Product Manager
  • 1 UI/UX Designer
  • 3 Full-Stack Engineers
  • 1 QA Engineer
  • 1 Part-time DevOps Engineer

This team continues to work hand-in-hand with the founders on a sprint-by-sprint basis to advance the product roadmap.

Results

Resonately’s breakthrough came when one of the largest audiology clinic chains in the U.S. piloted the solution. After a successful trial and rapid implementation of their feedback, the clinic signed a national contract to roll out Resonately across more than 500 audiology centers nationwide.

The feedback from clinics has been overwhelmingly positive, with high praise for the system’s performance, accuracy, and usability. Resonately is now well on its way to becoming the category-defining software platform in the audiology space.