viAct.net

AI agents and computer vision for industrial safety, ESG and productivity monitoring.

4.8 (5)

Avaliado por Daniel Nikulshyn·Atualizado maio de 2026

IoT Integration AI Agents Industrial Safety ESG Monitoring Real-Time Analytics Enterprise Computer Vision

Visão geral

viAct.net builds scenario-based AI vision and LLM-powered agents that monitor industrial sites in real time. Its software watches camera feeds and IoT data to flag safety violations, environmental risks and operational issues across construction, manufacturing, mining, oil and gas, and logistics environments. The platform combines computer vision detection with conversational AI agents that can answer questions about site conditions, generate reports and trigger automated alerts. Teams use it to reduce accidents, track ESG metrics and replace manual CCTV review with continuous, automated supervision.

Funcionalidades principais

AI-powered video analytics for safety detection
LLM agents for natural language site queries
ESG and carbon emissions monitoring
Automated incident alerts and dashboards
Integration with existing CCTV and IoT systems
Customizable scenario library by industry

Casos de uso

Construction site safety monitoring

Automatically detect PPE violations, unsafe behaviors and hazardous zones from existing CCTV feeds, sending real-time alerts to site managers to reduce accidents.

ESG and emissions reporting

Track environmental KPIs and carbon emissions across mining, oil and gas operations using computer vision and IoT data to streamline ESG compliance reporting.

Conversational site supervision

Use LLM agents to query live site conditions in natural language, generate incident reports and surface insights without manually reviewing hours of camera footage.

Logistics and warehouse operations

Monitor productivity, vehicle movement and operational risks in warehouses and yards with scenario-based AI vision tailored to logistics workflows.

Prós e contras

Prós

Pre-trained scenarios reduce setup time
Combines vision detection with LLM agents
Industry-specific use cases for heavy industries
Real-time alerts and automated reporting

Contras

Requires existing camera or IoT infrastructure
Primarily focused on industrial verticals
Pricing not transparent without a sales call

Avaliações

4.8

Média de 5 avaliações.

Entra para deixar uma avaliação.

Priya Nair

Does the job

Pretty happy overall. Automated incident alerts and dashboards just works and pre-trained scenarios reduce setup time. Primarily focused on industrial verticals can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Joanna Kowalski

Compared a few options

Evaluated this against two competitors. Where it wins: customizable scenario library by industry and industry-specific use cases for heavy industries. On balance the feature set — especially customizable scenario library by industry — justifies the 5 stars for our use case.

Ingrid Bauer

Use it every day

Honestly didn't expect to like it this much. ESG and carbon emissions monitoring is exactly what I needed, and industry-specific use cases for heavy industries. but I reach for it almost every day now and it just clicks.

Carlos Mendoza

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on aI-powered video analytics for safety detection, and pre-trained scenarios reduce setup time caught me off guard. Requires existing camera or IoT infrastructure is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Leila Hassan

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on automated incident alerts and dashboards, and pre-trained scenarios reduce setup time caught me off guard. Requires existing camera or IoT infrastructure is why this isn't a perfect score, still, I'd recommend giving it a real trial.