CAPABILITY
We build a working AI MVP using your data, so you can test impact and ROI before committing to full-scale implementation.

Most companies don't fail at AI because of technology. They fail because they scale too early without proof.
This is built to fix that with one focused MVP using your data, inside your environment, connected to your workflows.
WHAT THIS GIVES YOU
A working AI product, not a prototype.
THE CORE QUESTION
Does this actually work for your business?

Deployed product
You get something live inside your environment.

Usage, not demos
Real workflows and real user behavior reveal value fast.

Measurable outcomes
Decide with data instead of assumptions or guesswork.
Define the problem clearly, align on outcomes, and set measurable success benchmarks.
Structure your data and design a lean MVP architecture aligned to the use case.
Develop the AI model or automation and deploy it within your actual workflows.
Run the MVP in real scenarios, measure performance, and validate outcomes with your team.
Track impact, assess results, and decide whether to scale, refine, or stop.
Use Case Definition & Success Criteria
Data Preparation & Validation
Solution Design & Architecture
AI Model / Automation Development
MVP Application Layer
Deployment & Integration
Testing & Iteration
ROI Measurement
Documentation & Handover
Scale Readiness Plan
Final MVP Report (Executive View)
A comprehensive overview of the tools, frameworks, and infrastructure powering our intelligent solutions.
AI / ML




LLMs & NLP



Data & Processing



Cloud



Deployment & APIs



Frontend / Interface (if needed)

Discover how our AI MVPs solve complex problems and deliver measurable results across different industries.

Automotive
Community-Driven Driver Network

Reduction in route disruption through real-time driver alerts

Improvement in travel efficiency and fuel optimisation
RESULT
Breiko introduced a community-powered mobility platform where drivers can share live updates, discover safer routes, and access road-related services in real time.

Security
AI-Powered Threat Detection

Reduction in cyber incident response time through AI-driven monitoring

Continuous real-time threat detection and alerting coverage
RESULT
Corelight introduced an AI-powered network threat detection platform capable of analysing enterprise-scale data streams, identifying anomalies, and enabling real-time cyber incident response.

Healthcare
AI-Powered Athlete Wellness

Retired athletes onboarded onto the wellness platform

Hospital and healthcare partnerships established
RESULT
Neeka Health introduced a secure digital wellness platform focused on delivering personalised healthcare experiences, community engagement, and ongoing support for retired athletes.

Entertainment
AI-Powered Brand Worlds

Increase in audience engagement

Reduction in creative production time
RESULT
Wide Worlds introduced a generative AI ecosystem that allows brands and communities to collaboratively create AI-generated characters, worlds, and campaigns while maintaining brand consistency and audience engagement.
Have a project in mind? We'd love to hear about it. Tell us what you're building and let's explore what's possible.
hello@globalnodes.com
+91 9873388887
Answers to common questions about our healthcare solutions.
How long does it take to build an AI MVP?
Typically 4–8 weeks depending on complexity and data readiness.
Do we need clean data before starting?
No. We handle cleaning, structuring, and gap identification.
Will this integrate with our existing systems?
Yes. MVP is built to plug into your current workflows (CRM, ERP, etc.).
What if the MVP doesn't perform well?
That's the point—you find out early, with minimal cost and clear insights.
Can this be scaled later?
Yes. You get a full scale-readiness plan with infra, cost, and roadmap.