Crimer Platform

What we did

• •GrassFed developed a React-based web application that presents crime-risk forecasts for specified locations and times. The product gave Crimer a direct, interactive way to deliver its modeling capability, moving the forecast from a technical concept into a resource that organizations could use when planning how and where to allocate attention or resources.
• •We centered the browser experience on the two factors that define each forecast: location and time. This kept the workflow aligned with the platform’s core purpose and made the output relevant to a range of location-sensitive use cases without limiting Crimer to one sector or operating model.
• •GrassFed also exposed the forecasting capability through a developer-facing web API. This created a second route to the product, allowing organizations to bring forecast data into their own tools and workflows rather than requiring every use case to begin and end in the browser.
• •The delivery stack included React, Docker, and Amazon Web Services. Together, these technologies supported the browser interface, application packaging, and cloud environment used to make the interactive product and API available through a web-based platform.
• •The completed platform made Crimer’s forecasting capability available as both an interactive web product and an integration option for developers. It gave organizations more than one way to access location- and time-based forecasts and apply them within their own decision-making processes.