About Sahha

Sahha provides an API that collects and analyzes passive health data from smartphones and wearables to generate behavioral, mental, and physical health scores. This technology enables developers to create personalized health and fitness applications without the need for extensive data science resources.

```xml <problem> Developing personalized health and fitness applications requires extensive data science resources to collect and analyze passive health data from smartphones and wearables. Aggregating and interpreting this data to generate meaningful insights on user behavior, mental state, and physical condition is complex and costly. </problem> <solution> Sahha provides an API that simplifies the process of collecting and analyzing passive health data from smartphones and wearables, enabling developers to build personalized health and fitness applications without needing a dedicated data science team. The API aggregates data from various sources, including Apple Health, Google Health Connect, and wearable devices, and transforms it into actionable health scores and biomarkers. Sahha's proprietary machine learning models adapt to individual user health and lifestyle, providing insights into sleep, activity, well-being, and mental health. The platform also offers UI components for visualizing data and a dashboard for understanding cohort health trends. </solution> <features> - API for collecting passive health data from smartphones and wearables - Integration with Apple Health, Google Health Connect, Oura Ring, Garmin, Whoop, and other sources - Generation of health scores across dimensions like sleep, activity, well-being, and mental health - Biomarkers that translate raw data into meaningful health measures - UI components for visualizing health data within applications - Real-time data streams for detailed and unprocessed data - Developer tools including mobile SDKs, REST API, webhooks, and developer analytics - Dashboard for understanding cohort health trends and aggregated patterns </features> <target_audience> The primary customers are developers and companies in the fitness, coaching, health insurance, health apps, employee wellbeing, and AI health industries who need to build personalized and data-driven applications. </target_audience> ```

What does Sahha do?

Where is Sahha located?

Sahha is based in Sydney, Australia.

When was Sahha founded?

Sahha was founded in 2021.

How much funding has Sahha raised?

Sahha has raised 1100000.

Location

Sydney, Australia

Founded

2021

Funding

1100000

Employees

20 employees

Major Investors

Aura Ventures

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Sahha

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Executive Summary

sahha.ai 1K+

Crunchbase

Founded 2021 – Sydney, Australia

Funding

Estimated Funding

$1M+

Major Investors

Aura Ventures

Team (20+)

No team information available.

Company Description

Problem

Developing personalized health and fitness applications requires extensive data science resources to collect and analyze passive health data from smartphones and wearables. Aggregating and interpreting this data to generate meaningful insights on user behavior, mental state, and physical condition is complex and costly.

Solution

Sahha provides an API that simplifies the process of collecting and analyzing passive health data from smartphones and wearables, enabling developers to build personalized health and fitness applications without needing a dedicated data science team. The API aggregates data from various sources, including Apple Health, Google Health Connect, and wearable devices, and transforms it into actionable health scores and biomarkers. Sahha's proprietary machine learning models adapt to individual user health and lifestyle, providing insights into sleep, activity, well-being, and mental health. The platform also offers UI components for visualizing data and a dashboard for understanding cohort health trends.

Features

API for collecting passive health data from smartphones and wearables

Integration with Apple Health, Google Health Connect, Oura Ring, Garmin, Whoop, and other sources

Generation of health scores across dimensions like sleep, activity, well-being, and mental health

Biomarkers that translate raw data into meaningful health measures

UI components for visualizing health data within applications

Real-time data streams for detailed and unprocessed data

Developer tools including mobile SDKs, REST API, webhooks, and developer analytics

Dashboard for understanding cohort health trends and aggregated patterns

Target Audience

The primary customers are developers and companies in the fitness, coaching, health insurance, health apps, employee wellbeing, and AI health industries who need to build personalized and data-driven applications.