What challenges did Space Armour face before AI implementation?

Develop secure, autonomous AI systems purpose-built for orbital environments. Deploy quickly while meeting enterprise-grade availability and scalability needs for prospective clients.

What was the impact of the AI solution?

Built the platform in about eight weeks. Achieved near-100% uptime on Google Cloud. Enabled deployment of the base AI engine in under four weeks. Supported delivery of enterprise-grade private AI to customers through Marketplace.

Source

GCP

Space Armour: building an in-orbit AI engine and Agent Payment Protocol integration on GKE with Gemini

Use case typeWorkflow orchestrationUpdated Jul 5, 2026

Space Armour is a Singapore-based space technology startup building autonomous AI systems for orbital environments. The company built an integrated edge AI platform for deployment on NVIDIA Jetson, combining an AI engine, a blockchain node to cryptographically record AI inferences, and a security gateway. It hosts the solution on Google Cloud to deploy Gemini and Gemma models, use Cloud GPUs, and run the platform on Google Kubernetes Engine (GKE).

Organization: Space Armour
Industry: Tech & Comms
Location: Singapore
Published: July 2026

Reported outcomes

8 weeks

platform development timeTime & speed

100%uptime4 weeksbase AI engine deployment time

Strategic outcomes

Other strategic outcomeDelivered enterprise-grade private AI deploymentsSpeed & agilityAccelerated customer deployments

Primary read

Use case focus

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1Workflow orchestration

Develop secure, autonomous AI systems purpose-built for orbital environments.
Deploy quickly while meeting enterprise-grade availability and scalability needs for prospective clients.

Built a core integrated edge AI platform for deployment on NVIDIA Jetson.
Combined the AI engine with a blockchain node for cryptographically recording inferences and a security gateway.
Hosted the solution on Google Cloud to deploy Gemini and Gemma LLMs, run model-serving workloads on Cloud GPUs, and operate the platform on GKE.
Integrated the AI engine with Google's Agent Payment Protocol (AP2) and the X402 extension to enable autonomous agentic payments.
Used Google Cloud Marketplace to offer turnkey private AI instances in customers' own cloud environments.

Technologies

Google Kubernetes Engine Cloud GPUs Gemini Gemma Google Cloud Marketplace Agent Payment Protocol (AP2)x402 NVIDIA Jetson

Built the platform in about eight weeks.
Achieved near-100% uptime on Google Cloud.
Enabled deployment of the base AI engine in under four weeks.
Supported delivery of enterprise-grade private AI to customers through Marketplace.

Architecture

An integrated edge AI platform for NVIDIA Jetson combines an AI engine, blockchain node, and security gateway, while Google Cloud provides GKE, Cloud GPUs, Gemini, Gemma, and Marketplace deployment for turnkey private AI instances.

Sources & evidence1

Groundedness: 4/5Type: Customer StoryPublished: Jul 5, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High

Primary source

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