Build. Automate. Innovate.
AI, Computer Vision, IoT & Software solutions engineered for real-world enterprise infrastructure.
Services We Provide
Engineering intelligent, automated, and embedded systems.
Computer Vision
Optical parsing, real-time video analytics, and spatial intelligence.
AI & Analytics
Predictive modeling and automated ETL data pipelines.
Software Engineering
High-performance cloud architectures, web apps, and secure APIs.
IoT & Embedded
Custom firmware development and device-to-cloud synchronization.
Why RexusTech?
Practical Engineering
Solutions designed for deployment, not just theory.
AI-Driven
Integrating intelligence directly into legacy workflows.
Hardware + Software
Seamless integration from edge devices to cloud computing.
Data-Driven
Decisions backed by automated analytics and metrics.
The Origin
Enterprise infrastructure is fundamentally broken—bogged down by manual friction and disconnected legacy systems. I founded RexusTech to bridge the gap between custom embedded hardware, edge IoT, and production-grade AI. We aren't just building software; we are building the autonomous infrastructure of tomorrow, eliminating bottlenecks through clean, scalable, and intelligent code.
Real Products
Production-ready platforms engineered to solve critical operational bottlenecks.
Rexus Engine
What it does: Adapts and fine-tunes best-in-class foundation models securely for specific enterprise parameters.
Who it's for: Organizations requiring private, locally-hosted LLMs and AI processing.
Key benefit: Verified zero data leaks with low-latency outputs.
NeuroVision Core
What it does: Specialized deep-learning framework for real-time video parsing, object tracking, and defect recognition.
Who it's for: Manufacturing floors and facilities relying on visual quality control.
Key benefit: Eliminates manual visual inspection failures.
RexusFlow Edge
What it does: An IoT bridge platform connecting localized hardware directly to secure cloud systems.
Who it's for: Industrial plants and enterprises managing disconnected hardware sensor data.
Key benefit: Near-zero latency industrial monitoring.
Proof & R&D
Current development milestones, prototypes, and technical validation.
Edge AI Prototype Deployment
Successfully benchmarked NeuroVision Core prototypes on local hardware, recording a 40% reduction in automated defect response times.
Zero-Latency Data Liquidity
Constructed internal pipelines connecting low-power IoT gateways securely to cloud LLM runtimes without exposing private endpoints.
Contact Us
Ready to scale your infrastructure? Get in touch with our team directly.