Vergo: Ergonomic Assessment Software
Vergo helps safety teams identify ergonomic risks in the workplace. It is designed for organizations in physically demanding sectors that need to conduct risk assessments without using wearables.
At a glance
- Category
- Operations
- Best for
- Safety managers, Operations leads in heavy industry, Logistics and warehouse managers, Healthcare facility administrators, Manufacturing plant managers
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Workplace risk identification, Supporting injury prevention, Employee safety training, Trend tracking
- Official website
- vergo.ai
Vergo is an ergonomic analysis platform that uses AI-powered computer vision to evaluate body postures and movements. It is designed for safety teams in industries like logistics, manufacturing, healthcare, and construction where employees frequently perform physical tasks such as lifting, pushing, or bending.
The tool analyzes 15-30 second videos captured via a standard smartphone, which removes the need for specialized sensors or wearable equipment. It applies industry standards, specifically REBA and RULA, to generate quantifiable risk scores and reports.
Beyond risk identification, the platform includes a microlearning library to help employees build safer habits. To address privacy concerns, the software includes facial blurring and does not collect biometric data.
Buyers should confirm how the exportable reports align with their internal safety documentation and review the specific training content available in the microlearning library to ensure it fits their operational needs.
Key Features
Analyzes body movement and posture from smartphone videos to identify ergonomic risks.
Calculates risk scores based on validated ergonomic standards for joint movement and posture.
Provides annotated videos and reports to share findings with leadership or safety teams.
Includes facial blurring and does not collect biometric data to protect employee identity.
Provides short training videos to help employees implement safer movement habits.
Uses encryption for video uploads in transit and at rest with role-based access controls.
Use Cases
Using smartphone video to pinpoint high-risk movements in warehouse or factory settings.
Analyzing repetitive tasks to identify potential strains.
Using a microlearning library to deliver lessons on proper posture and movement.
Measuring the impact of safety interventions over time by comparing risk scores.
Best For
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
No special equipment, wearables, or sensors are required; the platform analyzes short videos captured with a standard smartphone.
It uses AI-driven computer vision to analyze body movement and posture based on validated industry standards like REBA and RULA.
Vergo includes facial blurring and does not collect biometric data, using enterprise-grade encryption for all video uploads.
Source category: Operations
Source subcategory: Ergonomic Assessment
