Vapi raises $50M Series B
Read More →
Vapi raises $50M Series B to power the next generation of enterprise voice AI
Vapi raises $50M Series B
Read More →
Customer stories
5X
Revenue growth
250K+
Monthly calls
50%
Cost reduction
“Healthcare scheduling is far more complex than booking a haircut. It depends on the patient’s detailed condition, what else is happening with the clinic, and the company itself. Voice is the last mile, and AI voice is a key unlock.”
Dr. Edmund Jackson, CEO, UnityAI
You know how healthcare scheduling usually works? Offshore call centers, overworked front desk staff, patients repeating their date of birth three times, and somehow still ending up with the wrong appointment time?
UnityAI threw that entire playbook out the window. Their 20-person engineering team took healthcare's most broken process and built something that patients actually thank them for.
Unity was already handling optimization for PE-backed ambulatory networks with 100-200 clinics nationwide. They were good at behind-the-scenes optimization math. But the actual patient contact? That was still stuck in 1995.
UnityAI CEO Dr. Edmund Jackson puts it bluntly:
Effective care relies on getting the right people to the right place, at the right time, on time, every time. That process is very hard to pull off in practice.
Picture this: You need an MRI after seeing your orthopedic surgeon. The order flows to a radiology clinic, lands on some overworked scheduler's desk, gets delegated to an offshore call center, and six rounds of phone tag later, you're still not scheduled. Meanwhile, that scheduler has no context about your case, can't answer your questions about prep requirements, and is motivated to get you off the line ASAP.
Unity models and optimizes all of this complexity, identifying the best slot for each patient and working to place them into it. But voice, the last mile, was the missing piece.
Unity's team first tested various hyperscaler and open-source solutions. Neither worked for their complex healthcare workflows.
Then they found Vapi. Unity connected their existing Google Cloud hosted clinical optimization platform to Vapi's platform, built API integrations for real-time availability checking, no-show probability calculations, optimization, and patient record updates across multiple systems, tested with real patients, and deployed to production.
Jackson's reaction?
We went from our initial idea to a demo in a day or two. We then went live with a minimal offering within a week. Vapi made the final mile, voice, a breeze.
Unity's voice agents don't just schedule appointments. They understand healthcare complexity. When calling about that MRI, the AI knows to ask about metal implants, explain prep requirements, and intelligently overbook based on no-show probability calculations. The system groups similar procedures together, scheduling knee scans with other knee scans rather than mixing them with spine scans, reducing equipment changeover time between appointments.
Jackson points to the specific capabilities that changed the game:
There's a lot of detailed nuance in moving from a simple voice to an agent. Things like tool calls, getting the right data structuring, all of the post-hoc analytics, the transcripts, all of it's built as one and it's just turnkey for us.
Translation: unlike platforms that handle simple conversations, Vapi gave Unity the infrastructure for complex healthcare workflows. When the AI needs to check availability across multiple clinic systems, it makes API calls. When it needs to update patient records in different formats (HL7, flat files, APIs), it adapts. When compliance requires SOC 2, HIPAA, and PCI standards, it's already covered.
The engineering team focuses on healthcare-specific optimization. The voice AI handles everything else.
That revenue jump? It wasn't just efficiency gains.
Vapi unlocked patient interaction for us, which opened a whole new set of product possibilities," says Jackson. Voice AI unlocked an entirely new business model for healthcare patient engagement.
Healthcare scheduling isn't just about convenience. It's about access to care. Unity's work with Medicaid populations, where illiteracy rates reach 35-40%, shows how voice AI can reach patients that text-based systems miss entirely.
In most of technology to get things done, you make an API call. Part of what is hard about getting tech into healthcare is that there's no API around the patient. Voice AI fixes that.
The best part? The experience is so good that patients don't mind talking to an AI. They appreciate that someone listened, understood their needs, answered their questions, and got them scheduled quickly, often in languages and dialects local to their community.
With basic scheduling transformed, Unity is expanding across healthcare workflows: new complex specialties and patient care coordination, ensuring compliance with pathways over time. Each new capability builds on the same voice infrastructure. No starting over. His advice to other healthcare companies?
Go and know your domain. Healthcare is unimaginably complex... Go work in a dentist's office, go there and do the thing, because I see so many tech-first companies selling solutions to problems that aren't real.
But once you understand healthcare, voice AI can transform it.
When your first patient interaction works this well, everything downstream gets easier.
