What We Do
Powering the Future of AI - Anywhere It's Needed
Redsand provides assured AI compute capacity, deployed across a distributed network — giving you the ability to run AI closer to the edge, with stronger privacy and more control.
As AI applications move closer to users, devices, and the edge of networks, traditional centralised compute models struggle to keep up. Redsand bridges this gap with a distributed AI infrastructure, enabling fast, secure, and cost-effective deployment of AI workloads — for the user and at the edge.
Committed to innovation we have combined our capability to operate the next generation of compute.
Edge AI & Inference
We’re enabling AI to run where it matters most — closer to sensors, users, and data sources. Our infrastructure is optimised for real-time inference, reducing latency, enhancing privacy, and improving user experiences across industries like healthcare, manufacturing, and smart cities.
Dedicated Distributed Compute
We deliver dedicated AI compute infrastructure through a federated, distributed model — built for mission-critical, privacy-sensitive, and sovereign use cases. We support on-premise, regional, and hybrid deployments, giving enterprises, governments, and innovators the control and flexibility to run AI where it’s needed, without compromising on security or sovereignty.
Sovereign by Design. Sustainable by Default
Redsand’s infrastructure is privacy-first, locality-aware, and deployable across a range of controlled environments — from energy-optimised data centers to customer-owned edge sites. Sustainability, security, and scalability are built into every deployment — because tomorrow’s AI infrastructure must serve both performance and planet.
Agentic AI is here - but infrastructure hasn’t caught up.
Enterprise adoption of agent-based AI systems is exploding, driving demand for real-time, high-availability compute. We provide the infrastructure backbone that allows these systems to act, adapt, and deliver results - anywhere.
Latency, privacy, and control are non-negotiable.
Agentic systems need to respond in milliseconds, handle sensitive data, and operate within regulatory and organisational boundaries. Our privacy-first, sovereign-ready infrastructure solves these challenges at scale.
Inference is the operational layer of AI - and it's scaling fast.
While training happens in the lab, value is created at the edge. Redsand is built for inference-first AI workloads — turning models into active, decision-making agents embedded across the enterprise.
AI growth must be secure, assured, and sustainable.
We provide guaranteed capacity, on-premise options, and carbon-aware deployments, ensuring that AI infrastructure supports long-term enterprise success - not just short-term scale.
AI Innovators at the Edge
We support AI-first teams building next-generation models that demand scalable, low-latency compute at the edge—enabling real-time performance where it matters most.
Governments & Enterprises
From public institutions to global enterprises, we provide secure, sovereign AI infrastructure designed to uphold data residency, regulatory compliance, and strategic independence.
Industrials, Healthcare & Telcos with Latency-Critical Workloads
We serve sectors where time is mission-critical, delivering high-performance compute for applications like diagnostics, automation, and real-time optimization at the edge.
Energy & Connectivity Providers Unlocking Idle Capacity
We help energy-conscious operators turn underutilised power and network assets into productive AI infrastructure, advancing sustainability while enabling new revenue streams.
An innovative DNA
Whether you're deploying vision models in industrial environments, enabling real-time decisions in autonomous systems, or serving AI at the edge of the network - Redsand helps you do it faster, cheaper, and more responsibly.
