Google Cloud Software / SaaS Singapore

Space Armour

IT Operations Automation

"We needed to define our virtual machines and attach an appropriate Cloud GPU or multiple Cloud GPUs to meet specific requirements of individual customers and ourselves," says DCosta.

Read the original story Explore all use cases

Delivers a high quality customer experience with near-100% uptime from Google Cloud

The simplicity, ease of integration, and effectiveness of Google Cloud infrastructure enabled Space Armour to build its platform in about eight weeks. "We are very happy we were able to do it this quickly, and we have near-100% uptime –…

Reported impact

Business outcome

Develops a platform to pilot edge-based AI use cases in space in just six weeks with Google Kubernetes Engine (GKE) Gemma and Gemini LLMs, and Cloud GPUs; Delivers a high quality customer experience with near-100% uptime from Google Cloud; Provides the scalability and availability needed to support enterprise-grade deployments of AI with Google Cloud; With Google Cloud, Space Armour is delivering secure, AI-enabled systems purpose-built for orbital environments.

Solution

"We needed to define our virtual machines and attach an appropriate Cloud GPU or multiple Cloud GPUs to meet specific requirements of individual customers and ourselves," says DCosta. By hosting its solution on Google Cloud, the start-up gains the flexibility to support a broad range of use cases with ease. This includes deploying Gemini, Gemma, and other large language models tailored to specific needs; enabling model fine-tuning for… As an existing user of Google Workspace , the seamless integration of its productivity and collaboration applications with the Google Cloud AI and infrastructure services helped Space Armour identify Google Cloud as the best fit for its requirements. Key components include Gemini provides the reasoning or generation layer used for classification, orchestration, content generation, or analysis; Google Workspace provides the collaboration or conversational surface where users work with AI assistance; Google Kubernetes Engine (GKE) orchestrates the.

Solution architecture

5 components · 3 layers

Compute
- Gemini Provides the reasoning or generation layer used for classification, orchestration, content generation, or analysis.
- Gemma Provides the reasoning or generation layer used for classification, orchestration, content generation, or analysis.
- Cloud GPUs Runs serverless or virtualized application services with elastic scale for production AI workloads.
Serving
- Google Workspace Provides the collaboration or conversational surface where users work with AI assistance.
Orchestration
- Google Kubernetes Engine (GKE) Orchestrates the platform's containerized services and high-concurrency workloads.

Architecture clues

By hosting its solution on Google Cloud, the start-up gains the flexibility to support a broad range of use cases with ease. This includes deploying Gemini, Gemma, and other large language models tailored to specific…
Its core platform is an integrated system built for deployment on NVIDIA Jetson, enabling edge-based AI use cases in space—combining an AI engine, a blockchain node to cryptographically record AI inferences, and a…
Space is the newest frontier of human and technological advancement, and AI is at the heart of developments. Delivering autonomous AI systems purpose-built for orbital environments is the mission of Space Armour , a…
The simplicity, ease of integration, and effectiveness of Google Cloud infrastructure enabled Space Armour to build its platform in about eight weeks. "We are very happy we were able to do it this quickly, and we have…
The start-up is also integrating its AI engine with Google's Agent Payment Protocol (AP2) and the X402 extension to enable autonomous agentic payments, both in space and on the ground.

Evidence from the source

Delivers a high quality customer experience with near-100% uptime from Google Cloud

Develops a platform to pilot edge-based AI use cases in space in just six weeks with Google Kubernetes Engine (GKE) Gemma and Gemini LLMs, and Cloud GPUs

Provides the scalability and availability needed to support enterprise-grade deployments of AI with Google Cloud

Space is the newest frontier of human and technological advancement, and AI is at the heart of developments. Delivering autonomous AI systems purpose-built for orbital environments is the mission of Space Armour , a…

The fact we use Google Cloud, which meets all the metrics required by our enterprise customers, makes them comfortable working with us. And with AI becoming the brain or center of organizations, the availability and…

With Google Cloud, Space Armour is delivering secure, AI-enabled systems purpose-built for orbital environments.

Transparency Evidence & methodology 95/100 reference value · 77% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value95/100

Problem clarity20/20
Measures whether the customer's operational problem is specific enough to compare.
Implementation depth20/25
Rewards named components, data flow, integrations, and architecture detail.
Outcome specificity20/20
Measures whether the reported benefit is concrete rather than a generic claim.
Quantified impact25/25
2 metrics describe measurable impact.
Deployment scale10/10
Rewards evidence of a live or scaled deployment and meaningful integration scope.

Evidence confidence77%

Source authority20/25
The main evidence is an official vendor-published customer story.
Claim traceability21/25
10 of 12 key fields link to a named source.
Direct evidence20/20
6 direct source quotes retained.
Date provenance0/10
The publication date has no documented provenance.
Source transparency8/10
1 source reference document publisher, URL, authority, retrieval, and supported fields.
Implementation specificity8/10
Rewards source-backed components, data flow, quantified impact, and a specific outcome.

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

Google Cloud
Space Armour customer story

First-party
https://cloud.google.com/customers/spacearmour

Source type
Vendor-published customer story
Supports
- Customer
- Business problem
- Solution
- Products
- Solution components
- Data flow
- Integrations
- technical area
- use case category
- Business outcome
- outcome category
- Metrics
- Architecture
- evidence quotes

Date evidence

First archived Mar 2, 2026 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
Open date source
Sitemap last modified Feb 13, 2026 · Google Cloud · Publisher metadata Publisher-reported modification timestamp; not a publication date.
Open date source

Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

Similar use cases

See all like this

Google Cloud Archived · Oct 16, 2026 Alta Software / SaaS United States Alta needed a transactable Google Cloud Marketplace path for its AI and technology spend management platform without pulling its product team off core forecasting work, while also helping finance and IT leaders… Saved 125 engineering and 60 project management hours IT Operations AutomationReal-time Analytics Cloud Pub/Sub · Cloud Run · Cloud SQL

Google Cloud Modified · Oct 9, 2026 Anthropic Software / SaaS San Francisco, CA, USA During large-scale training runs, traffic is highly variable—dropping to near zero during model checkpointing before bursting to millions of events per minute. Anthropic needed a serverless messaging queue that scaled… Handles peak throughput of over 1M events per second Document ProcessingIT Operations Automation BigQuery · Bigtable · Cloud Pub/Sub

Google Cloud Modified · Oct 9, 2026 Replenit Software / SaaS Poland Legacy marketing tools often treat individual shoppers as spreadsheet averages, relying on broad customer segments and predictable, rigid automation rules. As a result, brands frequently blast customers with irrelevant,… 360% business growth in one quarter with Google Cloud IT Operations AutomationMarketing Personalization BigQuery · Cloud TPUs · Gemini