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ease
features
design
support

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Description

Arvist AI is an innovative computer vision platform designed to aid warehouses globally in enhancing shipment quality, bolstering worker safety, and ensuring compliance, all by leveraging AI technology that seamlessly integrates with existing security cameras. Its camera-agnostic feature enables it to work with any visual input device, making it highly adaptable and capable of scaling efficiently across various warehouse locations. By automating the inspection process, Arvist significantly lowers OS&D claims and reduces the costs associated with inspection labor, all while providing valuable visual documentation for resolving disputes. The platform streamlines quality control tasks by identifying labeling mistakes, confirming expiration dates, and detecting incorrect or damaged shipments. Additionally, Arvist AI improves safety and compliance by actively monitoring regulations related to bonded warehouses and customs, preventing collisions involving forklifts and vehicles, ensuring food safety standards are met, and verifying employee adherence to ergonomic practices and PPE guidelines. With a rapid installation process, Arvist offers essential operational visibility and increased safety from the outset, while also adapting to the unique requirements of each operation through its ongoing learning capabilities. This adaptability ensures that warehouses can continuously optimize their processes and maintain high standards in a changing environment.

Description

SoterAI is an innovative platform that leverages artificial intelligence to revolutionize safety, compliance, and risk management in the workplace by transforming safety data into actionable predictive insights. The platform empowers Environmental, Health, and Safety (EHS) professionals to proactively avert incidents by providing real-time insights and streamlining workflows through automation. Among its features is a dynamic risk register that consistently refreshes with data sourced from reports, IoT devices, and EHS management systems, offering a comprehensive overview of safety and operational metrics. Additionally, SoterAI's AI-driven chat function delivers context-sensitive advice on potential risk situations, while its automated processes enhance inspections, incident evaluations, and root-cause investigations. By efficiently processing complex and unstructured data, SoterAI not only identifies risks but also issues timely alerts, enabling teams to respond quickly and effectively. Furthermore, the platform automates adherence checks to OSHA regulations, rectifies workplace safety issues using image analysis technology, and produces customized safety documentation to ensure comprehensive workplace safety management. Ultimately, SoterAI's holistic approach to safety management aids organizations in fostering a safer work environment.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Arvist AI

Founded

2021

Country

United States

Website

arvist.ai/

Vendor Details

Company Name

SoterAI

Founded

2017

Country

United Kingdom

Website

soter.com

Product Features

Computer Vision

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

Product Features

Alternatives

Alternatives

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