Hello Patient Analysis: $23M Raised
What is Hello Patient?
Hello Patient offers an AI assistant named Mia that automates patient communication through calls and texts. The platform is designed to enhance patient access and streamline healthcare workflows, allowing providers to focus on care rather than administrative tasks.
Employees
11-50
Founded
2024
Industry
HealthTech, SaaS
Valuation
$100.0M
Latest Funding Amount
$22,500,000
Latest Funding Round Size
$22.5M
Product Features & Capabilities
- AI assistant for patient communication
- Automated appointment scheduling
- Insurance verification
- Patient information collection
- RCM assistant for billing
How much Hello Patient raised
Funding Round - $22.5M
RecentOther Considerations
Raised $22.5M in Series A funding; Trusted by leaders in urgent care; Achieved 100% answer rates across calls and texts; 95% reduction in patient wait times reported by clients
Gtm Strategy
Hello Patient's go-to-market (GTM) strategy reflects a hybrid model that combines elements of both product-led growth (PLG) and sales-led approaches. The company emphasizes the capabilities of their AI assistant, Mia, through a live demo on their homepage, allowing potential customers to engage with the product directly, which is characteristic of PLG. However, the lack of transparent pricing information suggests a sales-led approach, as potential customers may need to contact sales for further details. The website includes a "Book a Call" option, indicating a focus on high-touch relationships with healthcare providers. Customer testimonials highlight significant improvements in patient access and experience, suggesting a structured sales cycle. Overall, Hello Patient optimizes for both rapid user adoption and high-touch relationships with healthcare providers.
Reported Clients
Hello Patient has notable clients including local clinics like Revive Med Spa and national digital health companies such as Octave Health. These clients utilize Hello Patient's AI-powered platform for patient communication, enhancing access and streamlining workflows in healthcare settings. However, specific details about the nature of the relationships or projects undertaken with these clients are not provided in the available sources.
Tech Stack
Hello Patient employs a diverse technology stack that includes both engineering and sales technologies. **Programming Languages:**
- Python: Used for backend development, particularly in AI and data processing.
- Typescript: Utilized for frontend development, indicating a focus on modern web applications.
- FastAPI: A modern web framework for building APIs with Python, suggesting a focus on performance and ease of use.
- NextJS: A React framework for server-side rendering, indicating a preference for modern web development practices.
- AWS: Amazon Web Services is mentioned, indicating their reliance on cloud infrastructure for hosting and services.
- Livekit: A platform for real-time communication, which may be used for features related to patient interaction.
- Postgres: A relational database management system, indicating their choice for structured data storage and management.