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Bland AI
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Bland AI

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.

Overview
Customers

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.

Customers Served

Digital Health Provider
Ambulatory Practice
Hospital / Health System
Life Sciences
Health Plan

Categories

Company Info

HQ Location
Mountain View, CA
Founded
2023
Headcount
11-50
Total Funding
$28M
Latest Round
Series A
Latest Round
08/24/2024

Company Socials

LinkedIn
X
Crunchbase
YouTube
Vimeo
GitHug

Pricing

Starting at $0.12/minute pay as you go
For enterprise, monthly infrastructure and support fee, and consumption on top

Vendor’s Notes

Use Cases

Building AI agents to automate appointment reminders, verification of benefits, prior authorization, and more.

Core Differentiators

Bland self-hosts the entire AI model stack to create ultra-reliable and low latency AI phone agents.

Demos

Customers

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ActiumHealth logo
ActiumHealth
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ActiumHealth

Company Info
Founded: 2014
Headcount: 51-200
Customers
Customers Served: Digital Health Provider, Ambulatory Practice, Hospital / Health System, Health Plan, Life Sciences, Government, Pharmacies
Product Overview
Security and Compliance Certifications: HITRUST CSF, SOC 2 Type 2, HIPAA
ActiumHealth provides AI-driven solutions to enhance patient engagement and streamline healthcare operations. Their offerings include 'Interact,' a customizable voice agent for patient communication; 'Activate,' which uses AI to identify and engage high-need patients; and 'Illuminate,' an analytics platform powered by large language models to analyze patient interactions. These tools aim to improve patient experience, optimize workflows, and support data-driven decision-making in healthcare settings.