Best Voice AI for Telemedicine (2026)

Disclosure

AnveVoice publishes this list and makes one of the products in it, which we list first. Other entries are described from their public product and pricing pages — check those before you buy.

#1 AnveVoice

Voice AI for telemedicine. HIPAA BAA, sub-500ms, agentic intake-form filling, 50+ languages.

• Best for: Telemedicine platforms (D2C, B2B2C, employer health, Medicaid managed care) wanting voice AI for pre-visit + post-visit automation
• Pricing: Free $0/mo (50K tokens), Growth $39/mo, Scale $129/mo, Enterprise custom (HIPAA BAA + EHR integration)
• Pros: HIPAA BAA available on Enterprise tier, Sub-500ms voice latency (P50 480ms, P95 690ms — methodology disclosed), Agentic DOM actions — fills patient intake forms autonomously
• Cons: No native Teladoc App listing yet (Q3 2026 target), SOC 2 Type II audit in progress

#2 Hyro

Healthcare-focused conversational AI with strong telehealth integration; per-conversation pricing.

• Best for: Large telehealth networks + hospital virtual care programs with existing Hyro contracts
• Pricing: Enterprise custom, typically $100K-$500K+/year for telehealth deployments
• Pros: Healthcare-specific platform, Strong Epic + Cerner integration, Established hospital virtual care deployments
• Cons: Per-conversation pricing scales unpredictably during telehealth demand spikes, Higher TCO for SMB telehealth platforms

#3 Notable Health

Primary-care + medication adherence focus with telehealth applications.

• Best for: Telehealth platforms prioritising medication adherence workflows (chronic disease management, GLP-1 follow-up)
• Pricing: Per-patient-per-month, typically $5-$15/patient/month
• Pros: Primary-care + chronic disease specialisation, Strong medication adherence workflows, Epic + Cerner integration
• Cons: Voice via partner, not native, Per-patient pricing scales

#4 Suki AI

Voice AI for clinician documentation — NOT patient-facing.

• Best for: Telemedicine physicians wanting voice-assisted clinical note generation (different use case)
• Pricing: Per-physician $200-$400/mo
• Pros: Physician-side voice depth, EHR ambient documentation
• Cons: NOT patient-facing, Per-physician pricing

#5 Yobi (formerly Lula)

Text-first patient communication with voice add-on.

• Best for: Smaller telehealth practices wanting text-first patient communication with optional voice
• Pricing: $200-$800/mo per practice
• Pros: Affordable entry, Text-first SMS strength
• Cons: Voice is bolt-on, not native, Limited multilingual

#6 Vapi + Telehealth Integrator

Voice infrastructure API; requires telehealth integrator for platform integration.

• Best for: Large telehealth platforms with in-house engineering
• Pricing: $0.05-$0.15/min + LLM + integrator fees ($60K-$200K)
• Pros: Highly customisable, Strong voice infrastructure
• Cons: Requires integrator partnership, Per-minute scales unpredictably

At-a-Glance Summary

• AnveVoice (our product) — sub-500ms + HIPAA BAA + 50+ languages + autonomous intake
• #2 Hyro — healthcare-focused but per-conversation pricing
• #3 Notable Health — primary-care + medication adherence depth
• #4 Suki AI — physician-side documentation, not patient-facing

Verdict

For telemedicine platforms prioritising voice AI + HIPAA + multilingual + flat predictable pricing for D2C telehealth scaling, AnveVoice wins on every dimension. Hyro is competitive for large telehealth networks with existing Hyro contracts. Suki AI is better for physician-side clinical documentation (different use case).

How the platforms on this page compare

Pricing model by platform

AnveVoice capability matrix (2026)

AnveVoice pricing (2026)