Go Arc offers a SaaS‑based Safety 4.0 platform that aggregates real‑time data from sensors, control systems, and manual inputs into a unified visualization dashboard. Its predictive AI analyzes this data to flag hazards, forecast equipment failures, and trigger prescriptive alerts, while dynamic workflows support permit‑to‑work, emergency communication, and asset lifecycle management. The solution enables safety, operations, and maintenance teams in high‑hazard industries to monitor KPIs, automate corrective actions, and reduce accidents and operational costs.
Funding
$19M 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.
HFounders
Product
Problem
Industrial facilities often rely on fragmented safety data from disparate systems, sensors, and manual reports, making it difficult to obtain a real‑time view of operational risks. This disjointed information flow hampers timely hazard detection, slows incident response, and leads to higher accident rates and operational costs.
Solution
Go Arc delivers a SaaS‑based Safety 4.0 platform that unifies data from equipment sensors, enterprise systems, and human‑generated activities into a single, real‑time visualization dashboard. Predictive AI models analyze the aggregated data to identify emerging hazards, generate prescriptive alerts, and support proactive risk mitigation. The platform provides dynamic workflows for permit‑to‑work, emergency communication, and asset lifecycle management, enabling organizations to track key safety KPIs and automate corrective actions. By delivering actionable insights across the enterprise, Go Arc helps reduce work‑related accidents, lower operational expenses, and improve overall safety engagement.
Target Audience
Primary customers are safety, operations, and maintenance teams in high‑hazard industries such as utilities, oil & gas, mining, and large manufacturing plants that require integrated, real‑time safety management.
Features
- Real‑time data aggregation from sensors, control systems, and manual inputs with a unified visualization interface
- Predictive AI analytics that flag anomalies, forecast equipment failures, and suggest preventive actions
- Dynamic permit‑to‑work and workflow engine for managing safety procedures and corrective actions
- Integrated emergency communication suite with push notifications, equipment audits, and drill management
- Asset lifecycle tracking with AI‑driven maintenance prioritization and failure prediction
- KPI monitoring and customizable safety dashboards for leading‑indicator reporting
- Cloud‑based SaaS deployment with role‑based access control and secure data handling