AI, RF & Smart IT Solutions
Stellabyte builds AI automation, RF systems, and smart technology for defense, spectrum, and complex technical environments.
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What We Do
AI & Machine Learning
Custom ML pipelines, intelligent automation, and data processing. Built for real workflows, not demos.
RF & Spectrum Systems
Signal analysis, spectrum management, and digital twin development. The kind of work where domain knowledge counts more than code.
Technical Consulting
SBIR/STTR proposal support, system architecture, and technology strategy.
Software Development
Custom applications, web platforms, and automation tools. Full-stack, database to deployment.
Featured Projects
Latter-day Scholar
AI-powered scriptural study platform with specialized scholars for historical context, linguistic analysis, and doctrinal insight.
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ktix
Real-time collaborative platform with AI-powered idea categorization, voting, and clustering to help teams organize and prioritize input.
View project →Core Capabilities
20+ Years in IT System Development
AI/ML, RF systems, software architecture, and full-stack development across defense and commercial work.
Defense & Intelligence Domain
SBIR/STTR proposals, RF spectrum analysis, digital twin development, mission-critical system design.
Mandarin & International Experience
Fluent Mandarin. Technical operations and communications support for the State Department. Cross-cultural communication.
Latest Posts
Your Feature Backlog Is Buried in the Research Literature
Trending repos tell you what someone built. arXiv tells you what just became possible. Neither tells you what your user is missing. The strongest uncrowded source of product ideas is a century of experiments software does not read.
Why Your AI Model Needs Domain Knowledge
A general model is fluent everywhere and reliable nowhere in particular. What domain knowledge adds to an AI system, what the evidence shows about domain-trained models, and how to tell whether you need it.
Dataset Value Is a Relationship, Not a Number
How to actually assess what a dataset is worth: why quality is a relationship between data and use, the six dimensions to check, and how to value data that feeds a model.