About Akila Labs

Akila Labs provides a Behavioral AI platform that organizes and analyzes unstructured health data from various sources, enabling businesses to deliver personalized digital health experiences. This technology enhances care management by integrating disparate data systems and offering predictive insights, improving patient engagement and outcomes without significant infrastructure investment.

```xml <problem> Healthcare providers and organizations struggle to effectively utilize the vast amounts of unstructured health data generated from various sources, such as wearables, smart devices, and electronic health records. Integrating these disparate data systems requires significant investment in technology and infrastructure, hindering the delivery of personalized digital health experiences. </problem> <solution> Akila Labs offers a Behavioral AI platform designed to organize and analyze unstructured health data, enabling businesses to deliver personalized digital health and wellness experiences. The platform integrates data from smart devices, wearables, biosensors, and public health sources, augmented by a proprietary metadata and recommender engine. Akila Labs facilitates the connection and integration of data sources and interfaces without major infrastructure investments, managing security, privacy, and HIPAA compliance. By providing predictive analytics and behavior modeling, the platform allows for user segmentation and targeted care, enhancing telehealth, in-office consultations, and at-home care. </solution> <features> - Data organization and curation of raw, unstructured health and behavior data from various sources. - Integration capabilities for connecting data sources and interfaces without major infrastructure investment. - Management of security, privacy, and HIPAA compliance. - Predictive analytics and behavior modeling for user analysis and segmentation. - AI accessibility without the need for specialized resources and training, delivered through Machine Learning, Computer Vision, Natural Language Processing, Intelligent Chat, IoT, and Big Data. </features> <target_audience> The primary target audience includes healthcare providers, insurance companies, and wellness organizations seeking to enhance patient engagement and deliver personalized digital health experiences. </target_audience> ```

What does Akila Labs do?

Where is Akila Labs located?

Akila Labs is based in East New York, United States.

When was Akila Labs founded?

Akila Labs was founded in 2017.

How much funding has Akila Labs raised?

Akila Labs has raised 360000.

Location

East New York, United States

Founded

2017

Funding

360000

Employees

5 employees

Major Investors

HealthInc

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Akila Labs

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Executive Summary

akila.ai 100+

Crunchbase

Founded 2017 – East New York, United States

Funding

Estimated Funding

$300K+

Major Investors

HealthInc

Team (5+)

No team information available.

Company Description

Problem

Healthcare providers and organizations struggle to effectively utilize the vast amounts of unstructured health data generated from various sources, such as wearables, smart devices, and electronic health records. Integrating these disparate data systems requires significant investment in technology and infrastructure, hindering the delivery of personalized digital health experiences.

Solution

Akila Labs offers a Behavioral AI platform designed to organize and analyze unstructured health data, enabling businesses to deliver personalized digital health and wellness experiences. The platform integrates data from smart devices, wearables, biosensors, and public health sources, augmented by a proprietary metadata and recommender engine. Akila Labs facilitates the connection and integration of data sources and interfaces without major infrastructure investments, managing security, privacy, and HIPAA compliance. By providing predictive analytics and behavior modeling, the platform allows for user segmentation and targeted care, enhancing telehealth, in-office consultations, and at-home care.

Features

Data organization and curation of raw, unstructured health and behavior data from various sources.

Integration capabilities for connecting data sources and interfaces without major infrastructure investment.

Management of security, privacy, and HIPAA compliance.

Predictive analytics and behavior modeling for user analysis and segmentation.

AI accessibility without the need for specialized resources and training, delivered through Machine Learning, Computer Vision, Natural Language Processing, Intelligent Chat, IoT, and Big Data.

Target Audience

The primary target audience includes healthcare providers, insurance companies, and wellness organizations seeking to enhance patient engagement and deliver personalized digital health experiences.