- Specialization
- Speech
- Business
- Software Applications
- Market
- Healthcare
- Ecosystem
- Agents
- Customers
Small Businessesand 1 more customers valuesLess
- Enterprises
More details
- Organization type
- Commercial Company
- Ecosystem
- Agents
- Business
- Software Applications
- Specialization
- Speech
- Market
- Healthcare
- Customers
- Small Businesses, Enterprises
- Delivery models
- Hosted Software
- Revenue models
- Not classified
- Listing status
- Not classified
- Latest equity round
- Seed
- Reported funding amount
- Not classified
About
Tivara builds AI voice agents that automate patient communications and administrative workflows for medical groups, including scheduling, prescription requests, intake, reminders, and after-hours triage. Its differentiation is healthcare-specific workflow integration with EMR and practice-management systems, alongside HIPAA compliance, SOC 2 Type II controls, and patient-data protections.
Market
Tivara competes in B2B healthcare AI software, focused on automating patient access and administrative workflows for medical groups. Its positioning centers on a specialized AI workforce that combines real-time voice agents with post-call operational automation, while competitors such as Assort, Notable, Hyro, and Luma offer broader patient-access, contact-center, revenue-cycle, or enterprise healthcare automation platforms.
Tivara targets specialty clinics and medical groups, particularly larger provider organizations with high volumes of patient calls and administrative work. Likely buyers include CEOs, COOs, CFOs, operations leaders, and revenue-cycle-management (RCM) executives responsible for patient access and back-office efficiency.
At a Glance
Problem
Tivara addresses the administrative bottleneck that keeps medical groups from delivering care and serving patients efficiently. Its original and clearest use case was prior authorization: physicians must justify treatment to insurers, while practices often dedicate roughly one employee per one to five physicians to manage the process. Those teams can become so overloaded that requests sit for up to a week before submission; the American Medical Association reports that 94% of physicians say prior authorization delays access to necessary care. Tivara’s current positioning broadens the same problem to high-volume patient communications, where missed calls, wait times, abandoned calls, routine questions, and no-shows consume staff time and raise operating costs.
The economics are a combination of labor expense, delayed or lost appointments, and clinicians spending time on nonclinical work. The killer use case is therefore automating repetitive, time-sensitive workflows—initially insurance approvals and increasingly the phone-based front desk—so practices can handle more patient demand without adding equivalent administrative headcount.
Product / Service
Tivara provides healthcare-specific AI agents that automate patient phone calls and administrative workflows. Its current product handles appointment scheduling, prescription refills, lab and order requests, patient intake, after-hours triage, reminders, rescheduling, and custom workflows; its earlier product description focused on using LLMs to submit and pursue prior-authorization requests. Agents can verify provider availability in real time, book directly into an EMR, collect information, create patient charts through a practice-management system, and route unresolved or clinically sensitive calls to staff or on-call providers.
The delivery model is an integration layer over a medical group’s existing telephony, EMR, and practice-management systems rather than a rip-and-replace phone system. Tivara says it can go live in three to four weeks, supports APIs and HL7 interfaces, and provides HIPAA-compliant, SOC 2 Type II-controlled handling of protected health information. The intended benefit is 24/7 conversational access for patients, fewer abandoned calls and no-shows, lower operational cost, and more staff capacity for clinical care, with human escalation when the AI lacks confidence or clinical judgment is required.
Market
Tivara competes in healthcare administrative automation and AI-agent software, spanning patient engagement, medical-practice call handling, revenue-cycle workflows, and healthcare B2B SaaS. The closest named alternatives in company databases are Commure, AKASA, and Notable; broader healthcare agent competitors include companies such as Hyro, SuperDial, and Parakeet Health. Tivara’s differentiation is its combination of voice-based patient engagement, end-to-end practice-system integrations, and healthcare-specific escalation and security controls.
Tivara is an active New York-based company founded in 2024 and a Y Combinator Summer 2024 company. It has reportedly raised $4.1 million across two rounds, including a $3.6 million seed round announced in January 2026, with backing from Zachary Perret, Day One Ventures, and Y Combinator. Public third-party data names Los Angeles Cancer Network and Astera Customer Care as customers and estimates approximately $330,000 of 2025 revenue, indicating early commercial traction rather than a clearly pre-revenue business; however, the customer count and financial figures are not independently disclosed by Tivara and should be treated as estimates.
Founders & Leadership
Funding History
Y Combinator, Matt Mickiewicz
Mischief VC, Day One Ventures, Y Combinator
Recent News
Tivara launched on Y Combinator’s Launch YC with a tool aimed at automating prior-authorization workflows for doctors. Tivara said it uses LLMs to submit prior-authorization requests and obtain approvals on providers’ behalf.
WashU profiled Tivara’s AI workforce, which automates patient calls for scheduling, refills, intake, and after-hours workflows. The company said it had converted all pilot customers in 2025 and was scaling with existing customers while adding use cases.
Active Roles
1Business Model
Tivara operates as a B2B healthcare SaaS company selling AI-agent solutions to medical groups and clinics through a sales-led, demo-based model. Third-party listings describe its pricing as custom and quote-based rather than publicly posted, with no free plan identified.