We Power AI at the Edge

Not all clouds are created equal. And not all AI should live in one.

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The Edge of AI Starts Here

Redsand is built for a new era of compute. One where AI runs at the edge, not buried inside distant data centers.

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Public clouds were designed for general purpose workloads. They work well for training models, batch jobs, and storing data. But for real world AI that must be fast, secure, and cost efficient, they often fall short.

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Redsand vs Public Cloud
What Matters.

Location
Close to where data is created
Speed
Fast and responsive
Control
You stay in charge of your data
Cost
Built to avoid waste and save money
Energy Use
Energy efficient and modular
Flexibility
Plug and Play
Location
Far away in remote data centers
Speed
Slower, especially for real-time AI
Control
Cloud provider controls the setup
Cost Efficiency
Costs increase quickly as usage grows
Energy Use
Centralised and large capacity
Flexibility
Tied to platform specific tools
Redsand
Public Cloud
Location
Close to where data is created
Far away in remote data centers
Speed
Fast and responsive
Slower, especially for real-time AI
Control
You stay in charge of your data
Cloud provider controls the setup
Cost
Built to avoid waste and save money
Costs increase quickly as usage grows
Energy Use
Energy efficient and modular
Centralised and large capacity
Flexibility
Plug and Play
Tied to platform specific tools

Inference Is Where AI Meets the World

We have built Redsand for this new AI-native era, where responsiveness, data control, and energy efficiency matter more than ever.

Whether you are deploying large language models, vision systems, or autonomous agents, Redsand brings compute to the edge, so that you never have to compromise on performance or values.

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Why This matters

Privacy by Design

Your data stays close. And it stays yours.

We bring inference to the edge, reducing exposure and enabling sovereign control. No opaque layers. 
No third-party surveillance risk.

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Ideal for regulated industries with
strict data control and compliance requirements.

Latency That Feels Instant

Inference happens where your users are.

By processing AI workloads at the edge instead of distant data centers, Redsand delivers the responsiveness real-world applications need.

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Suited for latency-sensitive use cases across media, retail, manufacturing, transportation, smart cities, healthcare, and real-time automation.

Smarter Cost, Not More Cloud

Built for inference, not excess.

Public clouds often over-provision and overcharge. Redsand right-sizes infrastructure so you pay for performance, configured for you.

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Run high performance inference without burning cash on unused capacity.

Join the Edge Network

Contact us to get started.

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