Case study

HearFor

An AI-powered voice companion for fertility care

Industry

Healthcare

Platform

Custom application

Solution

Apps & Interfaces

Headquarters

USA

Company size

Small Business

Outcomes

What changed

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Delivered on scope & budget

The fully integrated AI-driven healthcare assistant was delivered within the defined scope and budget. Emerging tech was applied strategically to prove out the vision fast.

Lead generation system

We built a system that captures and qualifies leads for fertility clinic partnerships. Voice interactions flow directly into structured, actionable data.

Fast, accessible landing page

A Webflow landing page presents Continyou clearly and loads quickly for all users. It gives HearFor.ai a polished front door to showcase the product.

Functional voice MVP

We delivered a working AI-powered voice assistant able to conduct basic patient interviews. It demonstrated Continyou's core concept in a live, testable form.

The project

In this case study

Background

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HearFor.ai is transforming patient interactions in healthcare, with a focus on fertility care. Their vision: a seamless, AI-powered companion that improves patient engagement and accessibility in a highly sensitive domain. To prove it out, HearFor.ai wanted an MVP for their AI-assisted voice solution, Continyou, powered by Liv, an AI fertility-care voice assistant that runs initial screenings, answers questions, and streamlines onboarding for fertility clinics. They tasked IronPlane and Snowdog to build it.

The MVP needed a fast, accessible landing page to showcase Continyou; integration with AI assistants to power Liv's voice interactions; the ability for users to start a voice call; a basic AI-driven screening for patient intake; and a lead generation and categorization system based on those interactions.

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Objectives

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Demonstrate the concept of an AI-powered healthcare companion.
Streamline patient onboarding for fertility clinics.
Provide 24/7 accessible support for patients seeking fertility care.
Generate and qualify leads for potential clinic partnerships.

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Challenges

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The biggest challenge was training the AI to gather and process the right information while holding an appropriate, empathetic tone during sensitive conversations. After each call, user inputs had to flow seamlessly from voice interaction into structured lead data stored in a CMS. And to keep the MVP lean, we needed a lightweight, scalable tech stack that was easy to iterate on.

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Solutions

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IronPlane and Snowdog built an agile, cost-effective MVP using AI assistants for the voice capabilities, a custom CRM to capture and categorize leads, and a custom Python integration connecting the assistant to the CRM for structured data collection.

What made the approach unique: it was voice-first: unlike typical healthcare chatbots, prioritizing natural, accessible voice interaction; specialized, with Liv designed to handle sensitive fertility conversations with an empathetic, professional tone; and lean but functional, using tools that enabled rapid, low-cost deployment without sacrificing core functionality.

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