
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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Around the world, teams focused on risk management, procurement, and compliance face increasing demands to navigate the challenges posed by geopolitical and business risks. The intricacies of both domestic and international operations, alongside a myriad of regulations, significantly influence third-party risks. Therefore, it is essential for organizations to take a proactive approach in managing their relationships with third parties. This innovative platform, leveraging the D&B Data Cloud's extensive database of over 520 million global business records and more than 2 billion updates each year, serves as an AI-driven tool that continually assesses and mitigates counterparty risk. D&B Risk Analytics incorporates top-tier risk data, providing alerts on high-risk transactions and identifying connections across a billion data points, all of which empower businesses to make well-informed choices. Additionally, the platform's intelligent workflows facilitate rapid and comprehensive screening processes, ensuring timely alerts on critical business metrics. As a result, companies can enhance their risk management strategies and improve their overall operational resilience.
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TuMeke
TuMeke helps safety and ergonomics teams assess risk faster, standardize ergonomic scoring, and scale MSD prevention without wearables, goniometers, or extra equipment.
Teams can capture short task videos with a mobile device, generate risk scores automatically, review visual movement insights, and identify postures or tasks that may need attention. Results can be managed across teams, devices, and locations, giving organizations a clearer way to prioritize improvements and track progress over time.
By reducing manual assessment work, TuMeke helps teams spend less time filling out forms and more time taking action on the risks that matter.
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Soter
Soter is an AI-first environmental, health, and safety platform that helps organizations capture workplace safety information more naturally and turn it into structured records. The platform allows teams to submit safety input through a conversation, photos, or video, making it easier to document what happened in the field. Soter uses AI to interpret the captured input and organize it into the appropriate record fields. This reduces the burden of manual data entry while helping teams create more complete and consistent safety documentation. The platform is designed for workflows where frontline workers, supervisors, and EHS teams need to capture safety information quickly without losing structure. Human oversight remains central because a person reviews the generated record and confirms it before closure. This review step helps ensure that AI-assisted records are checked before they become final. Soter can support safety reporting, hazard documentation, observation capture, incident intake, and other EHS record workflows that depend on clear field input. Its conversational and visual capture options make it useful for teams that need to collect information from real-world work environments. The platform helps convert unstructured safety observations into organized data that can be reviewed, tracked, and acted on. By combining AI-first capture, photo and video input, structured record creation, and human confirmation, Soter helps EHS teams improve workplace safety documentation without removing accountability.
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