Product Overview
Security and Compliance Certifications: SOC 2 Type 2, HIPAA
Vogent is an AI platform designed to automate phone calls in industries like healthcare, logistics, and travel. It uses low-latency, human-like voice interactions to handle tasks such as contacting payers, pharmacies, and clinics. Vogent's in-house language models can be fine-tuned with a few examples and integrate into existing workflows via API or a no-code dashboard. It supports features like IVR navigation, human handoff, and post-call automation.
Customers Served
Categories
Company Info
HQ Location
San Francisco, California
Founded
2020
Headcount
11-50
Total Funding
Not available
Latest Round
Pre-Seed
Latest Round
Not available
Company Socials
Pricing
Starting at 10 cents/min
Self-serve: 10 cents/min. Enterprise (high volume): as low as 6 cents/min
Vendor’s Notes
Use Cases
Customers use Vogent to call payers (eligibility verification, prior authorization, credentialing, etc.), pharmacies (prescription management), patients, and clinics, among other entities in the healthcare ecosystem.
Core Differentiators
Vogent is an end-to-end platform for automating calls to payers, providers, pharmacies, patients, and more. Vogent's entire agent pipeline is in-house, which means we can complete calls at a higher accuracy, support custom use-cases, offer a lower cost, and deliver the most humanlike AI phone experience possible. We power millions of dials, including for the largest insurance companies, prescription networks, and clinics in the country.
Demos
Customers
Bland AI
Claimed
Bland AI
Company Info
Founded: 2023
Headcount: 11-50
Customers
Verified Customers: 6
Customers Served: Digital Health Provider, Ambulatory Practice, Hospital / Health System, Life Sciences, Health Plan
Product Overview
Bland is an infrastructure solution to build AI phone agents for a variety of healthcare use cases, including cold calling for surveys, prior authorization, appointment scheduling, verification of benefits, and automated follow up to inbound inquiries. On the technical side, Bland have built their own LLM models for lower-latency conversations and higher reliability, and have the ability to break conversations into various sub-prompts to scale conversational complexity.