Our Objective

To champion care that's smarter, kinder, and accessible to all. We build multi-agent AI systems that don't just automate tasks—they transform how healthcare providers connect with patients, making quality care available 24/7 regardless of location or resources.

Our Story

We are a small, dedicated team committed to leveraging state-of-the-art AI technology to make healthcare accessible to everyone. We believe that quality care shouldn't depend on location, resources, or time of day—and we're building the technology to make that vision real.

The Healthcare Challenge We're Solving

The Problem:

Healthcare providers face an impossible tradeoff: maintain quality patient interactions while managing increasing call volumes, after-hours needs, and administrative burden. The result? Missed calls, delayed responses and follow-ups, provider burnout, and patients who can't access care when they need it most.

Our Collaborative Approach:

We partner with healthcare solution providers - to build specialized multi-agent AI systems on top of our Betula AgentStack. Whether you're focused on specific clinical workflows, patient populations, or care delivery models, we collaborate to create solutions that fit your vision and your patients' needs.

Our partnership model turns concepts into deployed solutions—market-ready products that improve care delivery and create measurable value for patients, providers, and healthcare systems.

Our partnership with sai-connect.org, a non-profit organization, holds special significance. Through sai-connect, we are realizing our objective of making healthcare accessible to all—bringing compassionate AI-powered care to underserved communities and populations who need it most.

The technology powering human-like AI agents is advancing at an unprecedented pace. Voice agents that are not only expressive in their speech tones, but can pick up on emotions conveyed in a patient's voice, avatars with visual presence that convey warmth and empathy, perception models that can see and interpret the world like humans—these capabilities are evolving from research prototypes to production-ready systems in months, not years.

Betula stays at the forefront of this acceleration. We continuously evaluate emerging technologies across voice synthesis, conversational AI, computer vision, and multimodal interaction. When these technologies mature and demonstrate real-world reliability, we rapidly integrate them into our production agents—ensuring our healthcare partners benefit from the latest advances in making AI feel more natural, accessible, and human.

For instance, today's predominant production solution for voice agents uses a three-model architecture: speech-to-text, language model, and text-to-speech. While emerging single-model speech-to-speech solutions are inherently superior—preserving speaker tone and emotional nuance that's lost in text conversion—their tool-calling performance hasn't yet reached production quality levels. However, new speech-to-speech models are being released with steadily improving capabilities. We actively monitor this progress, ready to adopt them the moment they match the reliability and tool-calling performance our healthcare applications demand.

Showcased on this page are agents leveraging LiveKit—the most scalable platform to build real-time multi-modal agents, Hedra that gives agents a visual presence, and Tavus for perception models that can see and hear. These proof-of-concept agents were developed as precursors to various engagements with our healthcare partners.

Healthcare Solutions in Action

1. 24/7 Inbound Patient Support

Making healthcare accessible anytime, anywhere

Real-World Application:

A patient calls at 2 AM with fever symptoms. Our AI agent answers on the first ring, conducts a protocol-compliant fever assessment, captures all necessary intake data, and either schedules an appointment or escalates to on-call provider—all while maintaining a natural, empathetic conversation.

Key Capabilities:

• First-ring pickup with zero patient wait time.
• Simultaneous conversation and structured data capture (something humans can't do seamlessly).
• Clinical protocol adherence (e.g., fever pathways) with flexible patient interaction.
• Intelligent call recovery if connection drops.
• Seamless integration with practice management systems.

Video Demonstration:

Watch how our agent handles a fever report while following clinical protocols

2. Proactive Patient Follow-Up

Closing the care loop with automated outreach

Real-World Application:

A behavioral health patient missed their follow-up appointment. Our AI agent places an outbound call, verifies identity, conducts a mental health check-in following clinical protocols, and—critically—detects concerning responses about self-harm. The agent immediately adapts the pathway, escalates to human providers, and ensures the patient gets urgent support.

Key Capabilities:

• Secure identity verification before clinical discussion.
• Adaptive pathway navigation based on patient responses.
• Real-time emergency protocol activation.
• Automatic escalation to human providers when needed.
• HIPAA-compliant documentation and provider alerts.

Video Demonstration:

Watch emergency detection and protocol branching in action

3. AI Avatar for Enhanced Connection

Combining voice with visual presence

Real-World Application:

A patient logs in for pre-visit intake and is greeted by an avatar agent with a friendly face. The conversation flows naturally as the agent gathers symptoms, medical history, and conducts preliminary differential diagnosis—information that's immediately available for the physician's review. The diagnosis is never disclosed to the patient, maintaining appropriate clinical boundaries.

Key Capabilities:

• Visual avatar interface for enhanced patient engagement.
• Preliminary differential diagnosis using clinical ML models.
• Appropriate information disclosure (diagnosis visible only to providers).
• Comprehensive symptom and history documentation.
• Reduces physician diagnostic workload while improving visit efficiency.

Video Demonstration:

See avatar-based intake with diagnostic reasoning

4. Digital Health Companion(in development)

Vision AI for continuous care support

Real-World Application:

A patient with chronic conditions interacts with our visual perception agent throughout their day. The AI can assess emotional state through facial analysis, answer health questions, provide medication reminders, scan food items for nutritional guidance, and alert care teams to signs of distress—all through multi-modal interaction combining voice and vision.

Potential Impact:

• Remote patient monitoring without intrusive devices.
• Early intervention for behavioral health concerns.
• Personalized health coaching and education.
• Visual assessment of patient wellbeing.
• Bridging the gap between clinical visits.

Video Demonstration:

Prototype of an Agent that can see, and hear