Gleenr Inc.

About Gleenr Inc.

Gleenr utilizes proprietary machine learning algorithms to analyze live or recorded video, tracking facial micro-expressions and physiological metrics such as heart rate and respiratory rate to assess emotional responses. This technology provides insights into non-verbal cues, helping users understand underlying feelings in situations where direct interaction is not possible.

```xml <problem> Current methods for assessing health vitals and emotional states often rely on wearable devices or in-person observation, which can be intrusive, inconvenient, or limited in scope. Remote analysis of these factors is challenging, especially when direct interaction is not possible or practical. </problem> <solution> Gleenr provides a remote health vitals tracking and emotion analysis tool that uses machine learning algorithms to analyze video recordings. The platform analyzes live or recorded video to track facial micro-expressions and physiological metrics such as heart rate, respiratory rate, and blood pressure. This technology offers insights into non-verbal cues and health indicators, helping users understand underlying feelings and monitor well-being remotely. </solution> <features> - Remote health vitals tracking, including heart rate, respiratory rate, and blood pressure, extracted from video analysis. - Emotion analysis through the detection of facial micro-expressions. - Secure data handling, ensuring user privacy and data protection. - User-friendly platform for uploading and reviewing video analyses. </features> <target_audience> Gleenr targets individuals interested in remote health monitoring, caregivers seeking insights into the well-being of loved ones, and professionals needing to analyze non-verbal cues in remote interactions. </target_audience> ```

What does Gleenr Inc. do?

Gleenr utilizes proprietary machine learning algorithms to analyze live or recorded video, tracking facial micro-expressions and physiological metrics such as heart rate and respiratory rate to assess emotional responses. This technology provides insights into non-verbal cues, helping users understand underlying feelings in situations where direct interaction is not possible.

When was Gleenr Inc. founded?

Gleenr Inc. was founded in 2022.

Founded
2022
Employees
2 employees
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Gleenr Inc.

Score: 10/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

Gleenr utilizes proprietary machine learning algorithms to analyze live or recorded video, tracking facial micro-expressions and physiological metrics such as heart rate and respiratory rate to assess emotional responses. This technology provides insights into non-verbal cues, helping users understand underlying feelings in situations where direct interaction is not possible.

gleenr.app50+
Founded 2022

Funding

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Team (<5)

Manas Shalgar

AI / ML Sr Developer

Company Description

Problem

Current methods for assessing health vitals and emotional states often rely on wearable devices or in-person observation, which can be intrusive, inconvenient, or limited in scope. Remote analysis of these factors is challenging, especially when direct interaction is not possible or practical.

Solution

Gleenr provides a remote health vitals tracking and emotion analysis tool that uses machine learning algorithms to analyze video recordings. The platform analyzes live or recorded video to track facial micro-expressions and physiological metrics such as heart rate, respiratory rate, and blood pressure. This technology offers insights into non-verbal cues and health indicators, helping users understand underlying feelings and monitor well-being remotely.

Features

Remote health vitals tracking, including heart rate, respiratory rate, and blood pressure, extracted from video analysis.

Emotion analysis through the detection of facial micro-expressions.

Secure data handling, ensuring user privacy and data protection.

User-friendly platform for uploading and reviewing video analyses.

Target Audience

Gleenr targets individuals interested in remote health monitoring, caregivers seeking insights into the well-being of loved ones, and professionals needing to analyze non-verbal cues in remote interactions.