Introducing GRAXEL — An Integrated Platform Connecting the World with AI
Discover GRAXEL's vision, core technology, and AI-powered micro SaaS ecosystem.
GRAXEL is built on the vision of 'connecting the world through AI technology,' offering diverse micro SaaS services on a single platform.
Why GRAXEL?
Modern work environments require dozens of SaaS tools simultaneously — each with separate accounts, payments, and learning curves. GRAXEL solves this. One account accesses all services, unified billing reduces management overhead, and consistent design minimizes learning costs.
Core Technology Stack
- SSO Authentication — OAuth 2.0 with Google, Kakao, and Naver: one login for all services
- AI Engine — Multi-provider support: Groq, OpenAI, Azure, Gemini
- Edge Deployment — Low-latency global service via Cloudflare Pages/Workers
- Modular Architecture — Shared modules for auth, payments, UI, SEO, and legal enable rapid service development
Currently Available Services
MyHyetaek is an AI government benefits consultant that searches 500+ government policies and provides personalized eligibility verification. JobFit AI is an AI job matching service for developers that auto-collects job postings and calculates match scores.
We'll continue adding new services monthly to deliver even greater value.
How this connects to the live GRAXEL portal
This guide is part of the same operating model described on the About GRAXEL page and the platform overview. The goal is not to publish generic AI copy, but to document how a real service portfolio is planned, shipped, measured, and improved.
For implementation work, GRAXEL follows official framework guidance instead of treating examples as copy-paste snippets. The portal uses patterns documented by Next.js and localization practices aligned with next-intl. If you want to ask about this workflow or suggest a service improvement, use the contact page.
Practical takeaway
- Start with one narrow user problem before adding more automation.
- Keep source data, user-facing explanation, and billing assumptions separate.
- Review the page in a real browser before assuming search engines or ad reviewers will understand it.
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