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Product Overview
Security and Compliance Certifications: HIPAA
Hume AI provides an API-controlled voice-to-voice AI product that can understand speech and optimize responses for user satisfaction using their proprietary LLM model that combines language modeling and emotional quotient training.
Customers Served
Categories
Company Info
HQ Location
New York
Founded
2021
Headcount
11-50
Total Funding
$50M
Latest Round
Series B
Latest Round
03/25/2024
Company Socials
ScienceIO
Claimed
ScienceIO
Company Info
Founded: 2019
Headcount: 11-50
Customers
Verified Customers: 1
Customers Served: Digital Health Provider, Hospital / Health System, Health Plan, Life Sciences, Risk-Bearing Providers
Product Overview
2 ReviewsSecurity and Compliance Certifications: HIPAA
ScienceIO transforms unstructured healthcare text into structured, actionable data using AI, covering over 9 million healthcare concepts. Use cases include patient cohorting, diagnostics, biomarker identification, and other digital health services.
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emtelligent
Claimed
emtelligent
Company Info
Founded: 2016
Headcount: 11-50
Customers
Customers Served: Digital Health Provider, Ambulatory Practice, Hospital / Health System, Health Plan, Life Sciences, Government
Product Overview
emtelligent is a healthcare AI language solution, trained on billions of data points and 2M+ hand annotations. It uses NLP and medically-aligned LLMs to structure medical text and unlock insights at enterprise scale.
GenHealth.ai
GenHealth.ai LMM
Company Info
Founded: 2023
Headcount: 1-10
Customers
Customers Served: Digital Health Provider, Hospital / Health System, Health Plan, Life Sciences
Product Overview
Security and Compliance Certifications: SOC 2 Type 1, HIPAA
GenHealth.ai’s Large Medical Model (LMM) is designed to predict future healthcare events by analyzing sequences of medical events such as diagnoses, treatments, and medications. Instead of using traditional language models, it operates on clinical data like ICD, CPT, RxNorm, and LOINC codes, which represent patient conditions, procedures, and medications. The model processes these event sequences to forecast outcomes like healthcare costs, risks, and likely future medical procedures, helping healthcare providers anticipate patient needs and manage resources more effectively.
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