# Emdasa

**Source:** https://www.startuphub.ai/startups/emdasa
**Profile type:** Startup

> EMDASA designs and deploys sustainable, AI-optimized data centers built for GPU-heavy compute, high-density workloads, and the future of intelligent infrastructure.

## About

EMDASA builds the next generation of data centers, specifically tuned for AI, GPU computing, and other demanding workloads. They specialize in smart, scalable, and sustainable infrastructure, offering AI-ready data centers, adaptive cooling systems, and sustainable power integration. EMDASA partners with founders, enterprises, and investors to provide the intelligent infrastructure needed to power AI products, train foundation models, and scale cloud services.

## Key facts

- **Slug:** emdasa
- **Website:** https://emdasa.com
- **Location:** London, England
- **Founded:** 2026-06-01
- **Operating status:** Active
- **Sectors / tags:** AI Infrastructure, Data Center, Cloud Infrastructure, GPU Computing, Sustainable Technology, Energy Efficiency, AI & Machine Learning, Web3 & Distributed Ledgers, Finance & Enterprise Tech, Research & Academia

## Frequently asked

### What does Emdasa do?

EMDASA builds the next generation of data centers, specifically tuned for AI, GPU computing, and other demanding workloads. They specialize in smart, scalable, and sustainable infrastructure, offering AI-ready data centers, adaptive cooling systems, and sustainable power integration. EMDASA partners with founders, enterprises, and investors to provide the intelligent infrastructure needed to power AI products, train foundation models, and scale cloud services.

### Is Emdasa trustworthy and reputable?

StartupHub's Data Trust & Reputation score for Emdasa is 34 out of 100, based on site security posture and privacy practices.

### Where is Emdasa headquartered?

Emdasa is headquartered in London, England.

### When was Emdasa founded?

Emdasa was founded in 2026.

### What industry does Emdasa operate in?

Emdasa operates in AI Infrastructure, Data Center, Cloud Infrastructure, GPU Computing, Sustainable Technology, Energy Efficiency.

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