Improbable has created SpatialOS: a networking solution combining low latency, tools for faster iteration, and a ready-to-go architecture capable of supporting innovative games.
Now the Improbable Defence division, building on the backbone of SpatialOS, has combined world class scientific modelling, market leading AI, mission specific user interfaces and a uniquely flexible and secure deployment model to create a powerful simulation platform tailored to the needs of the military.
Our mission? To enable the most realistic and effective military simulations ever experienced, making defence users more effective on operations and decreasing the cost of military preparedness.
We are working on a few customer projects building web applications for operational planning, tactical training, and decision support. We are very early in our journey and there are various parts to this that are worth unpacking.
These applications allow users to create and design plans for scenarios to be simulated. This includes physical elements such as placing units on a map as well orchestrating their movements over time, but extends much further to include other domains and elements, such as economic, information and diplomatic interventions. For this we use mapbox-gl, along with various sources of geospatial data.
Secondly, our applications are the interface to the simulation engine. Users can run complex models, many times, at scale. A critical part of value we deliver for clients is letting them leverage complex data generated by the models for better analytics. This involves designing and building solutions to how we visualise information, both geospatially and temporally. The data visualisation work is done in close collaboration with scientific modellers in the division. We especially love high performance rendering, using WebGL and libraries like deck.gl.
As a team we strive to balance how we build, such that we can move quickly and adapt to change, whilst building a robust and performant solution. To facilitate this, we invest heavily in our design system and a reusable component library.
The primary front-end technologies we currently use are Typescript, React, Redux, and gRPC. The primary back-end technologies we currently use are Go, Node, gRPC, Docker, Kubernetes, and mySQL.