About Invisible AI

Invisible AI offers an on-premise computer vision platform that utilizes NVIDIA-powered AI chipsets and synchronized depth-sensing cameras to analyze human motion and objects on the factory floor in real time. This technology enhances worker productivity and safety by providing actionable insights that reduce downtime and improve operational efficiency in manufacturing environments.

```xml <problem> Manual assembly work in manufacturing environments often lacks real-time data capture and analysis, hindering efforts to optimize worker productivity, ensure safety, and maintain quality standards. Traditional methods of data collection are time-consuming, prone to errors, and fail to provide immediate insights into production bottlenecks or ergonomic risks. </problem> <solution> Invisible AI offers an on-premise computer vision platform that addresses these challenges by digitizing the physical world of manufacturing. The platform uses synchronized depth-sensing cameras and NVIDIA-powered AI chipsets to analyze human motion and object interactions on the factory floor in real time. By processing video and storing data locally, the system provides immediate feedback without requiring cloud connectivity, ensuring data security and minimizing latency. The AI-driven insights enable manufacturers to quickly identify outlier cycles, correct bottlenecks, conduct AI time studies, and proactively protect the workforce through ergonomics monitoring and incident root-cause analysis. Integration with PLC/MES datasets provides a holistic view of plant floor activities, streamlining continuous improvement efforts and maximizing overall labor effectiveness. </solution> <features> - Real-time analysis of human motion and object interactions using AI vision sensors - NVIDIA-powered AI chipset and synchronized depth-sensing cameras for accurate data capture - On-premise deployment with local video processing and storage (up to 3 months and 2TB per device) - Integration with PLC/MES systems for a comprehensive view of plant floor activities - Ergonomics monitoring, forklift tracking, and incident root-cause analysis features for EHS teams - AI time studies to identify and correct production bottlenecks - Streamlined search features and 3D video capture for product traceability - Secure, on-premise solution with no extra bandwidth required </features> <target_audience> The primary target audience includes manufacturing production teams, continuous improvement teams, and EHS (Environmental Health and Safety) teams within the automotive and aerospace industries. </target_audience> ```

What does Invisible AI do?

Where is Invisible AI located?

Invisible AI is based in San Francisco, United States.

When was Invisible AI founded?

Invisible AI was founded in 2018.

How much funding has Invisible AI raised?

Invisible AI has raised 21010000.

Location

San Francisco, United States

Founded

2018

Funding

21010000

Employees

56 employees

Major Investors

Van Tuyl Companies

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Invisible AI

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Executive Summary

invisible.ai 5K+

Crunchbase

Founded 2018 – San Francisco, United States

Funding

Estimated Funding

$20M+

Major Investors

Van Tuyl Companies

Team (50+)

No team information available.

Company Description

Problem

Manual assembly work in manufacturing environments often lacks real-time data capture and analysis, hindering efforts to optimize worker productivity, ensure safety, and maintain quality standards. Traditional methods of data collection are time-consuming, prone to errors, and fail to provide immediate insights into production bottlenecks or ergonomic risks.

Solution

Invisible AI offers an on-premise computer vision platform that addresses these challenges by digitizing the physical world of manufacturing. The platform uses synchronized depth-sensing cameras and NVIDIA-powered AI chipsets to analyze human motion and object interactions on the factory floor in real time. By processing video and storing data locally, the system provides immediate feedback without requiring cloud connectivity, ensuring data security and minimizing latency. The AI-driven insights enable manufacturers to quickly identify outlier cycles, correct bottlenecks, conduct AI time studies, and proactively protect the workforce through ergonomics monitoring and incident root-cause analysis. Integration with PLC/MES datasets provides a holistic view of plant floor activities, streamlining continuous improvement efforts and maximizing overall labor effectiveness.

Features

Real-time analysis of human motion and object interactions using AI vision sensors

NVIDIA-powered AI chipset and synchronized depth-sensing cameras for accurate data capture

On-premise deployment with local video processing and storage (up to 3 months and 2TB per device)

Integration with PLC/MES systems for a comprehensive view of plant floor activities

Ergonomics monitoring, forklift tracking, and incident root-cause analysis features for EHS teams

AI time studies to identify and correct production bottlenecks

Streamlined search features and 3D video capture for product traceability

Secure, on-premise solution with no extra bandwidth required

Target Audience

The primary target audience includes manufacturing production teams, continuous improvement teams, and EHS (Environmental Health and Safety) teams within the automotive and aerospace industries.