Do you really need to hire more engineers?
Not necessarily.
Want to build something?
Is your service running slow?
Having production issues?
Repeating the same IT work every day?
Just tell GIIP what you need.
You can put it just like this.
This is how it used to go.
- Incident happens
- Someone notices
- Call the outsourcing vendor
- Send over the logs
- Root cause analysis
- Request a fix
- Test
- Deploy
- Monitor again
Instead of finding someone after something breaks,
the AI that was already watching moves first.
“Build me a service like this.”
“Build a customer portal our teams in Korea and Japan can both use.”
Here’s what’s actually happening behind the scenes.
CODE
AI Coding / Review / Debug
CLOUD
AWS / Azure / Cloud Infrastructure
DATABASE
MySQL / PostgreSQL / SQL Server / Aurora, etc.
DEPLOY
Dev / Staging / Production
SECURITY
Security / WAF / Access Control
MONITOR
Logs / Metrics / Error Detection
OPTIMIZE
Performance / Cost / Database Tuning
SEO/GEO
GA4 / GSC / User Flow / Content Improvement
You don’t need to know any of this.
Just tell us what you need.
It looks easy, but real production systems run behind it.
12 sets
SQL Server → AWS RDS
We have operated 12 sets of x12large-class instances, each configured with 5 replicas.
approx. 120,000 tables
Oracle → AWS
We migrated an Oracle environment with approx. 120,000 tables to AWS.
approx. 3 TB
TiDB → Aurora MySQL
We migrated approx. 3 TB of TiDB data to Amazon Aurora MySQL.
approx. 30 web services
Operating alongside AI
We run Amazon Aurora MySQL, AWS RDS for SQL Server, Azure SQL Server and Azure PostgreSQL together with AI, watching over roughly 30 web services.
Is there something you’d like solved right now?
You don’t need to know the exact technical terms.
Just tell us what’s happening.
- Our site is running slow.
- We don’t have enough engineers.
- We want to turn an AI-built app into a real service.
- Our server costs are too high.