Control & Systems Engineering
Bridging Mechatronics and Generative AI to build autonomous industrial assistants and enterprise-grade PLC code generators.
About Us
Telos Nexus is an emerging deep-tech startup operating in the field of Control and Systems Engineering. We specialize in integrating advanced Generative AI architectures with hardware systems, industrial data pipelines, and real-time automation environments.
Our primary focus is an AI-powered code generation and testing infrastructure designed specifically for automation engineers. By utilizing the Google Cloud and Vertex AI ecosystem, we power backend orchestration and data retrieval to generate reliable, IEC 61131-3 standard industrial code.
Flagship Infrastructure
A Linux-based AI orchestrator powered by Google Cloud. Designed to interpret industrial manuals via vector search and automatically generate, test, and deploy automation logic.
$ jarvis --generate-logic --target "Siemens S7" --standard "IEC 61131-3"
[INFO] Querying Vertex AI Agent Builder (RAG)...
[INFO] Context loaded from indexed industrial manuals.
[INFO] Generating Structured Text (ST) control logic...
$ jarvis test --virtual-env
[OK] Logic generated and verified. Ready for deployment.
Massive Data Store indexing complex industrial automation manuals, specific PLC documentation, and IEC standards.
AI-powered generation of Structured Text (ST) and Ladder Logic, reducing development time for automation engineers.
Custom autonomous assistant architecture handling state-aware workflow management and system control modules.
Direct deployment pathways connecting generated logic with existing SCADA environments and physical hardware.
Automated testing and simulation of generated logic to ensure safety and performance before physical deployment.
Built for Linux-first deployment, allowing AI agents to run securely within isolated industrial networks.
Verticals
High-compute AI infrastructure scaling solutions for the most demanding physical environments.
Get in Touch
Reach out to discuss enterprise AI infrastructure, PLC generation testing, or Cloud architecture partnerships.