JUNGLE TECH is a compact IT studio based in Hong Kong. The company is two years old — the people aren't. Our engineers have been shipping production code since 2003, through every stack the industry has since thrown away. High engineering density, low layers of management: you talk to the people building your systems.
HQ
HONG KONG SAR
Central Time Zone: HKT (UTC+8)
FOUNDED
2024
SHIPPING SINCE
2003
UPTIME SINCE DAY ONE
100% — not a typo
Working software beats perfect slides. We move in weeks, not quarters.
We take responsibility end to end — from Terraform to the tickets.
AI, edge, new runtimes — we play with tools so clients don't have to.
Straight talk on scope, risk and price. If we can't help, we say so.
JUNGLE TECH was founded in 2024, but our engineers have been in production since 2003. We've lived through every era the industry buried: PHP and Java monoliths, on-prem racks, SOAP and FTP integrations, ancient Oracle and MSSQL, the jQuery years, the first clouds. We don't read about legacy systems — we wrote them, ran them, and migrated them out.
That matters more in the AI era, not less. AI can generate code in seconds — knowing which code survives a decade takes having lived a few. Twenty years of scar tissue is what keeps our AI-built systems honest.
20+ YEARS
of production experience per senior engineer
EVERY STACK
from COBOL-adjacent relics to LLM pipelines
NOTHING SCARES US
we've debugged worse, at 3AM, on a Friday
Long before JUNGLE TECH existed, our founding engineers were already in production — through PHP and Java monoliths, on-prem racks, SOAP APIs, the jQuery years, early cloud, the mobile wave and every painful migration in between.
JUNGLE TECH is founded in Hong Kong SAR — a new company built by engineers with 20+ years of production scar tissue.
Delivered cloud architecture and 24/7 managed services for cross-border SME clients. 100% uptime from day one — a streak we still haven't broken.
Expanded into custom software delivery, a dedicated QA & testing practice, and long-term maintenance retainers.
Launched our AI practice on in-house GPU infrastructure — custom AI apps, private LLM deployments, and AI customer service.
We take on a limited number of clients per quarter. If you have something interesting, get in touch early.
Talk to us →