Visual Engine
Brelyon Visual Engine is a proprietary hardware and software architecture that brings your existing interface portal into the age of AI. Powered by NVIDIA NIM and Brelyon shaders, Brelyon Visual Engine platform analyzes only your on‑screen activity to learn your unique behavior profile across different applications, then generates personalized content, recommendations, and automations—delivered exactly when and where you need them.
From security and network operations centers to enterprise GUIs and mission‑critical simulation‑training systems, Visual Engine helps you reduce handling time and errors, surface critical anomalies faster, and adapt complex UIs to each operator’s behavior so teams get more done with less fatigue.
The platform creates a knowledge base from how the portal is used, turning monitors into a valuable resource for automation.
Visual Engine is completely software agnostic and runs entirely visually so it can run with old interfaces or new unpredictable environments.
From Image to Data in Real Time, Bringing Intelligence to Every Frame
Extract visual metadata in real time and communicate image insights to give context-aware assistance in real time. Built to have minimal computational tax on your computer. Brelyon Visual Engine runs on a totally separate processor to leave your machine performance intact while augmenting your interface at the right time, at the right spot.
A comprehensive platform to learn and automate using vision models. Never miss the chance for automation. Leverage Brelyon Visual Engine to analyze and automate your interface like never before.
Endless Opportunity to Improve User Workflow
Brelyon Visual Engine has applications in workforce training, task optimization, management or oversight, and perceptual computing systems, where automation emerges dynamically from observed workflows rather than hard-wired ones. This assistance is essential because many GUI-based operations involve repetitive tasks. These repetitive patterns may not be visible to the user or seem exactly identical to the operator, but the algorithm in Visual Engine can identify and automate them.
Traditional AI relies on backend data, often missing operators’ real-world challenges. Brelyon Visual Engine turns the screen into an active intelligence layer, potentially recovering over $30,000 per seat annually by automating manual data searches, flagging redundant investigations, and capturing operator expertise. By resolving up to 60% of operational friction and reducing new-hire shadowing time by 50%, it preserves critical knowledge even when experienced employees leave.
A case for observational AI
Imagine a vision-based AI that observes screens, user actions, and workflows to understand system states without legacy data pipelines or proprietary software. It learns from operator activities to deliver scalable, explainable guidance with minimal integration. Vision is the universal language of interfaces, teaching AI to work more like humans before surpassing them.
Heavy industry needs measurable AI benefits without changing existing software or adding new interfaces. Brelyon Visual Engine observes operators’ screens and activities in real time, learning expertise and workflows across software platforms to enable progressive automation with minimal disruption.
Simulation training today faces challenges of scalability, realism, and interoperability across diverse and rapidly evolving systems. Brelyon Visual Engine resolves these issues by automatically digesting and assessing trainee activities across legacy systems, increasing throughput and alleviating instruction gaps.
Decision Advantage for C2: An Antidote to Interoperability Friction and Persistent Legacy Costs via Vision
USSOCOM’s Joint Special Operations Command (JSOC) must integrate data from operations centers across multiple domains and weapons systems to provide the commander with critical command and control (C2) capabilities. Brelyon Visual Engine operates at the last interface level, augmenting information into the video stream of the portal without having to touch the console that generated the data.
Optimized by Seraphinite Accelerator