The hardware deployment layer for Edge AI solutions

Construction sites are dynamic, unpredictable environments where conditions change daily and safety is critical.

AI systems deployed here must handle movement, depth, partial occlusion, weather, and inconsistent connectivity.

We work with construction and built-environment technology providers to support spatially aware, edge-based intelligence - from progress monitoring to safety and situational awareness.

Our role is to help ensure AI solutions are robust enough to operate outside controlled settings, delivering reliable insight even as sites evolve.

Retail and logistics environments combine high volumes of people, assets, and movement - often across distributed locations.

AI solutions must balance accuracy, latency, privacy, and uptime, particularly when deployed at the edge.

We help deploy intelligent systems that perform reliably in stores, warehouses, and distribution centres.

Whether the use case involves loss prevention, inventory visibility, automation, or operational analytics, the emphasis is on dependable performance, scalable deployment, and minimal operational friction.

Healthcare environments place unique demands on AI systems: reliability, safety, compliance, and trust are non-negotiable.

Vision and sensing technologies must work consistently while respecting privacy and integrating into complex clinical workflows.

We support healthcare technology providers by helping translate AI innovation into deployable systems that function in real clinical settings.

This includes edge-based processing, spatial awareness, and system architectures designed to meet operational and regulatory constraints without compromising performance.

Surveillance and security applications require AI systems that operate continuously, often in challenging outdoor or low-light conditions, and deliver actionable intelligence rather than raw data.

We help security and surveillance ISVs to enable intelligent, edge-based systems that improve situational awareness while managing latency, bandwidth, and reliability.

The focus is on turning visual data into dependable insight that works at scale and in real operational environments.

Helping agriculture see more, understand more and act sooner. AI and machine vision are giving agricultural systems a clearer view of what is happening in the field, greenhouse and processing environment, from detecting crop health issues to identifying objects, monitoring livestock and automating inspection.

Simms helps System Integrators, ISVs and OEMs build Edge AI solutions for applications such as crop and weed detection, object classification, livestock monitoring, yield assessment, autonomous machinery and quality inspection.

By bringing together cameras, edge compute, memory, storage and connectivity, we help create reliable systems that can process data locally, respond in real time and operate in demanding agricultural environments.