Today's multi-domain battlespace moves faster than traditional planning tools can track. Commanders must coordinate air, land, sea, cyber, and space operations while the warfighter operates in dynamic/complex environments. Current processes delay updates, create confusion, slow decisions, and increase risk to forces.
From below the sea to beyond the clouds, STLM is ready to serve.
Our team—drawing on decades of military, engineering, and simulation expertise, and a clear understanding of the real-world demands of military operations, is actively developing next-generation C2 technologies that will revolutionize the battlefield.
We aim to make control in war as straight forward, and as fast, as playing a video game. STLM is actively developing an interconnected system-of-systems to apply a unified network, cloud computing, and artificial intelligence to gather data from sensors across all military domains (land, sea, air, space, and cyber). Our technology will enable a shared operational picture and continuously deliver actionable intelligence to the most appropriate decision-makers and warfighters.
The current state-of-the-art for military event reconstructions use archaic data collection and storage procedures, inefficient processing tools, and poor visualization technologies. These known issues create ineffective and costly reconstructions for military decisionmakers. STLM's Reconstructed Reality Engine (RRE) is a hyper-realistic 3D event reconstruction software that takes position commands directly from the battlefield source streams.
The Immersive Digital Trainer (IDT) builds on the proven foundation of STLM's Reconstructed Reality Engine (RRE), originally developed to create hyper-realistic 3D reconstructions of complex military events. The RRE ingests data from multiple sources—including sensors, communications, and operational reports—and renders them into interactive, high-fidelity virtual environments. Its capabilities in real-time processing, modular scenario creation, and immersive visualization provide a robust framework that enables the IDT to simulate diverse drone threats and virtual weapon systems with high realism and responsiveness.
STLM leverages custom-trained AI models to detect a wide range of threats in real-time XR environments. These models are fully adaptable and can be fine-tuned to meet any specific use case.
