EVI Safety Technology provides an AI-powered incident investigation and prevention system that integrates machine learning and real-time monitoring to identify root causes of workplace incidents in the maritime industry. By streamlining communication and analysis, EVI reduces incident response time and facility downtime by up to 90%, ultimately enhancing safety and saving lives.
Funding
$545K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
The maritime industry faces challenges in efficiently investigating and preventing workplace incidents, often relying on manual processes and delayed communication, leading to prolonged response times and increased facility downtime. Traditional incident investigation methods can be slow, lack comprehensive data analysis, and may not effectively identify the root causes of recurring incidents.
Solution
EVI Safety Technology offers an AI-powered incident investigation and prevention system designed to streamline communication, automate analysis, and identify root causes of workplace incidents in the maritime sector. The system integrates with existing CCTV infrastructure and uses a proprietary machine-learning model trained on a database of past incidents and maritime regulations to detect safety and security violations in real-time. By providing unbiased pre-assessments and generating corrective actions, EVI aims to reduce incident response time and facility downtime, enhancing safety and preventing repeated incidents. The platform facilitates a safe space for investigation interviews, ensuring unfiltered information is shared and analyzed effectively.
Target Audience
The primary target audience includes maritime companies, vessel managers, QHSE specialists, and maritime authorities seeking to improve workplace safety, reduce incident response times, and prevent future accidents.
Features
- AI-powered CCTV integration for real-time monitoring of safety and security procedure adherence
- Proprietary Large Language Model (LLM) trained on maritime regulations, technical standards, and incident databases
- Automated incident pre-assessment to ensure unbiased and factual data collection
- Streamlined communication and reporting to reduce investigation times
- Customizable report generation based on customer-specific forms
- Integration with physical alarm systems for immediate response to detected violations
- Predictive analytics to proactively prevent recurring incidents