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Mapizy: The 4-Person ML Powerhouse
How a tiny team uses machine learning to automate environmental change detection at scale
Mapizy is betting that machine learning can automate the discovery of changes to our natural and built environments. With just 4 employees and $300K in revenue, this bootstrapped tech services company is tackling geospatial intelligence without the bloat of traditional enterprise players.
"Mapizy proves you don't need a massive team to build ML-powered geospatial solutions—you just need the right infrastructure."
Technical Foundation
Their stack reveals a pragmatic approach: jQuery and Bootstrap for rapid frontend development, AWS CloudFront for scalable delivery, and Slick/Owl Carousel for UI interactions. They're not chasing bleeding-edge frameworks—they're building what works, hosted entirely on AWS infrastructure.
Market Position
Operating in the Tech Services industry, Mapizy occupies a niche between traditional GIS providers and AI startups. With zero organic search traffic currently, they're either in stealth mode, pre-product-market fit, or relying entirely on direct relationships and outbound sales.
The domain mapizy.com redirects to mapizy-studio.com for login, suggesting they've built a web-based platform for their ML insights. Their Twitter and LinkedIn presence indicates they're actively building brand awareness, but the absence of traffic data suggests early-stage traction.
- Bootstrapped efficiency: $75K revenue per employee signals lean operations
- ML-first approach: Automating environmental change detection at scale
- Infrastructure-ready: AWS-based architecture supports enterprise deployment
- Early-stage positioning: Zero web traffic suggests pre-scale phase
The Verdict: High Potential, Execution Risk
Mapizy has the technical DNA and lean model to win in geospatial ML, but needs to crack customer acquisition and scale beyond 4 people to capture enterprise value.
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Meta Tags
MAPIZY | Better Insights Better Decisions
At Mapizy, we use machine learning to automate discovery of changes to the natural and built environments at scale. Equipped with this information, many organisations can make informed decisions and...
MAPIZY - Better Insights Better Decisions
At Mapizy..we use machine learning to automate discovery of changes to the natural and built environments at scale. Equipped with this information, many organisations can make informed decisions and...
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About mapizy.com
At Mapizy, we use machine learning to automate discovery of changes to the natural and built environments at scale. Equipped with this information, many organisations can make informed decisions and...
Company Overview
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Technology Stack
mapizy.com uses 10 technologies across their website including YouTube Embed, Font Awesome, Google Fonts, Amazon Web Services, AWS CloudFront, and more.
Video
YouTube Embed
Fonts
Font Awesome, Google Fonts
Cloud & Hosting
Amazon Web Services, AWS CloudFront
CSS Frameworks
Bootstrap, Tailwind CSS
JavaScript Libraries
Owl Carousel, Slick, jQuery
Traffic & Audience
mapizy.com receives approximately 0 monthly visitors. The website has a bounce rate of 0% with visitors viewing an average of 0.0 pages per visit. Users spend an average of 0:00 on the site.
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