
Mitti by SafetyCulture is a frontline operations platform built to help organizations manage daily work across sites, shifts, teams, assets, standards, and compliance requirements. The platform brings inspections, issue reporting, training, task management, communications, document management, asset maintenance, contractor management, investigations, analytics, sensors, IoT, and operational AI into one connected system. Mitti helps teams capture frontline signals, turn checklists into workflows, assign actions, close out issues, and understand performance across the business. Its AI Assistant can create checklists, generate training, and surface information quickly, while AI Issue Capture turns photos or voice notes into actionable issues. The platform supports quality management, compliance, asset maintenance, training, onboarding, insurance, lone worker safety, benchmarking, integrations, and operational reporting. Organizations can use Mitti to digitize inspections, monitor assets, train workers, communicate with teams, track contractor readiness, investigate incidents, and benchmark performance across locations. Its analytics capabilities give leaders a clearer view of what is happening across operations so they can spot trends, reduce risk, and improve outcomes. Mitti is used across industries such as manufacturing, facilities management, hospitality, construction, and retail. By combining frontline workflows, inspections, training, AI, asset management, issue reporting, analytics, communications, and compliance tools, Mitti helps organizations run safer and more efficient operations.
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RealEstateAPI (REAPI) provides big data as a platform. We provide our customers with fast, flexible APIs that give them access to property information. Our 'Smart API System' delivers data and a data structure that makes development faster. Our APIs are used by a wide range of companies, from startups to publicly-traded companies, to create SaaS applications, train AI models and generate insights quickly. Our APIs are used by customers in the proptech, home services and fintech industries to access financial and physical details of 159M properties across the country. Our solutions allow companies to scale operations quickly while reducing risks and costs associated with data manipulation the old-school way.
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Zesty.ai
At Zesty.ai, we harness over 200 billion data points, which encompass aerial imagery, permits, transactions, weather conditions, and sensor information, to create a comprehensive digital representation for each property. This robust dataset powers climate risk models that deepen our understanding of the risks related to both the property and its structures. By utilizing 3D precision, we enhance the efficiency and accuracy of quoting, underwriting, and rating processes. Our advanced geocoding and AI algorithms ensure precise identification of the relevant structures tied to any given address. This methodology establishes a strong predictive correlation between our model outputs and actual losses, providing invaluable insights for stakeholders. Ultimately, Zesty.ai's innovative approach not only streamlines operations but also contributes to more informed decision-making in property assessments.
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HurLoss
HurLoss represents ARA's advanced hurricane catastrophe model tailored for property insurers, reinsurers, brokers, and ILS managers to adeptly navigate risks in regions susceptible to hurricanes. Since its inception in 1998, HurLoss has served as the cornerstone for structural engineering standards in hurricane-affected states and has been integral to federal emergency management and mitigation strategies across the nation since 2003. The model provides a comprehensive event set that spans the entire North Atlantic basin, covering areas such as the U.S., the Caribbean, Bermuda, and portions of Canada, Mexico, and Central America. What sets HurLoss apart is its physics-driven approach to hurricane hazard modeling combined with engineering load and resistance analysis, grounded in fundamental principles and corroborated by claims data. Additionally, the model incorporates projections related to future climate conditions, enabling users to evaluate risks using both current and anticipated climatological data, including variables such as sea surface temperature and wind shear. This forward-thinking approach ensures that stakeholders are equipped with the most relevant information to make informed decisions regarding their hurricane risk management strategies.
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