Infrastructure Intelligence
SNtricity builds vertical platforms that help engineers and technical buyers make complex infrastructure decisions — combining authority content, engineering tools, and structured deployment outputs.
SNtricity is the parent company of EdgeAIStack, an edge AI infrastructure decision platform. EdgeAIStack is the first vertical platform built under SNtricity's infrastructure intelligence model.
What we build
Technical buying and deployment decisions are fragmented across vendor documentation, generalist forums, and incomplete guides. SNtricity builds platforms that replace that fragmentation with structured, tool-backed decision systems.
Deep engineering guides, deployment architectures, and vendor-neutral analysis written for practitioners making real infrastructure decisions.
Calculators, planners, and sizing tools that turn complex specifications into actionable decisions — power budgets, bandwidth requirements, storage endurance, hardware selection.
Machine-readable, consistently structured outputs designed to be useful to both human engineers and AI systems parsing technical infrastructure requirements.
Platform architecture
Structured technical content built to rank, index, and be understood by both search engines and AI systems. Every article and guide maps to a real decision point.
Interactive engineering tools that take real inputs — camera counts, duty cycles, ambient temperatures, bandwidth constraints — and produce sizing recommendations and deployment plans.
The cumulative layer: structured datasets, decision graphs, and outputs designed for downstream integration. The long-term foundation for API access and programmatic decision support.
Flagship platform
EdgeAIStack is SNtricity's first infrastructure intelligence platform, built specifically for edge AI deployment planning. It serves engineers and systems integrators who need structured, vendor-neutral guidance for real-world edge deployments.
The platform addresses the full stack of edge AI infrastructure decisions: hardware selection, power and PoE budgeting, storage endurance planning, network bandwidth sizing, and multi-camera deployment architecture. Everything is tool-backed, not just editorial.
Featured tools & resources
Key technical guides
Calculate power draw and PoE switch sizing for multi-camera edge AI systems.
Storage endurance analysis and SSD selection for edge inference.
End-to-end planning for multi-camera edge AI system deployments.
Platform model
The SNtricity platform model applies wherever technical decisions are fragmented, high-stakes, and underserved by existing tools. EdgeAIStack proved the model in edge AI infrastructure. The methodology extends.
Hardware selection, deployment planning, power and network sizing for real-world edge AI systems.
Infrastructure decision support for industrial AI systems — connectivity, ruggedization, reliability planning.
Compute stack planning for autonomous and semi-autonomous robotic systems across environments.
Structured selection and benchmarking tools for AI inference accelerators and deployment hardware.
Future platforms reflect methodology categories, not product announcements. Timelines are not committed.
Start here
EdgeAIStack is live and operational. Start with the edge AI infrastructure planning platform and see how structured decision tools change the way you scope deployments.