
SDS Manager stands out as a leading provider of Safety Data Sheet (SDS) Management solutions, boasting one of the most extensive SDS databases globally, which contains over 14 million Safety Data Sheets available in 25 different languages.
With SDS Manager, employees can conveniently retrieve crucial SDS information directly on their mobile devices by scanning QR code posters placed in areas where chemicals are handled, thereby enhancing both safety measures and adherence to regulatory standards. This intuitive mobile access not only facilitates immediate information retrieval but also fosters a culture of safety within the workplace.
Additionally, our automated data extraction capabilities allow for the effortless integration of SDS files into your library without the need for manual data entry, which greatly enhances accuracy and optimizes the process of SDS management. Your SDS library remains consistently updated, well-organized, and readily accessible, all within a secure cloud environment, ensuring that you are always prepared for audits or emergencies.
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Mitti (by SafetyCulture) is an operations system designed for frontline teams that need one connected platform for people, workflows, standards, and operational data. The platform helps organizations understand what is happening across every site and shift, identify what needs attention, and help workers perform at their best. Mitti supports quality management, compliance, asset maintenance, training, onboarding, inspections, issue reporting, task management, communications, document management, analytics, contractor management, investigations, sensors, IoT, lone worker safety, and insurance workflows. Its inspection tools turn checklists into connected workflows, while task management helps teams fix problems and close them out. AI Assistant helps users create checklists, training, and operational content, and AI Issue Capture converts photos or voice notes into actionable issues. Training tools help teams build on-the-job learning, while communications features send messages across the workforce and confirm they have been read. Asset maintenance features help track assets in real time, monitor maintenance needs, and reduce breakdowns. Analytics, benchmarking, investigations, and integrations help leaders see performance across the operation, identify root causes, connect to existing tools, and continuously improve. Mitti is built for industries such as manufacturing, facilities management, hospitality, construction, and retail, where distributed frontline teams need simple tools that fit how work actually happens. The platform is designed to digitize paper-based processes, reduce stock loss, save time, improve response rates, support compliance, and keep workers safer. By combining inspections, training, issue capture, asset maintenance, operational AI, analytics, communications, documents, tasks, and frontline workflow management, Mitti helps organizations turn everyday signals into measurable outcomes.
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NWarch AI
Daten & Wissen, a recognized entity by DPIIT and a collaborator with NVIDIA Inception, has introduced NWarch AI, a cutting-edge platform that emphasizes edge-first video analytics and automation, effectively converting current CCTV and sensor data into timely insights related to safety, crowd management, and operational efficiency. This innovative solution tackles the issues of fragmented video information, the drawbacks of slow manual monitoring, and the costs associated with overhauling existing systems by delivering seamless edge inference, AI-powered natural language agents for quick inquiries, and user-friendly automation workflows that do not require coding knowledge. NWarch AI serves a diverse range of industries, including construction, manufacturing, logistics, retail, and security, enabling faster incident response, simplifying compliance reporting, and achieving considerable efficiency gains. As organizations leverage this technology, they are empowered to improve their operational capabilities and make informed, data-centric decisions with greater ease. Ultimately, the adoption of NWarch AI not only enhances performance but also fosters a smarter, more responsive approach to managing real-time insights.
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T-Pulse
T-Pulse transforms workplace video infrastructure into a continuous source of safety intelligence. Built for industrial environments, the platform applies computer vision to live feeds from CCTV cameras and mobile devices, identifying over 100 categories of at-risk activity and hazardous situations.
Rather than relying only on scheduled inspections or manual observation, T-Pulse highlights relevant events as they occur. Each detection is recorded with a timestamp and visual evidence, giving safety teams a basis for verification and follow-up. Teams can review the event, classify its severity and engage for resolution.
Privacy is embedded into the design. Facial signatures are automatically blurred so teams can understand the context of an event without exposing individual identities.
The platform can be tailored to each site to define monitored areas, restricted zones, hazard scenarios, detection rules, and alert thresholds. This makes T-Pulse suitable for manufacturing plants, refineries, construction sites, warehouses, mines, and other high-risk operations.
T-Pulse also consolidates safety data across locations. Dashboards reveal recurring risk patterns, event hotspots, compliance gaps, leading indicators, and performance differences between sites or work areas. Role-based access controls and audit trails ensure information is available only to authorized users and every review or action is recorded.
Core capabilities include AI detection of 100+ at-risk events, configurable safety zones and thresholds, evidence-based alerts, facial blurring, trend and hotspot analytics, multi-site monitoring, and cloud, on-premises, or hybrid deployment.
By turning video feeds into actionable safety intelligence, T-Pulse helps organizations identify risk earlier, focus interventions where they matter most, and build a more proactive, data-led safety culture.
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