Executive Summary

Bridging the Gap Between Education & Employment.

"Skillsy is an AI-powered Career Advisor that automatically identifies the skill gaps in Indonesian fresh graduates and generates a personalized, free learning roadmap to make them highly employable."

The Problem

The Skill Mismatch Crisis

Indonesia faces a massive youth unemployment rate, primarily driven by a severe skill mismatch. Universities teach theory, but the industry demands practical, up-to-date technical skills. Fresh graduates simply do not know what they need to learn to get hired.

7.47M

Open Unemployment (BPS 2024)

16.89%

Youth Unemployment (Age 15-24)

The Solution

AI-Powered Skill Gap Analysis

Skillsy solves this by taking the guesswork out of career prep. By inputting their current skills and target job, our AI compares their profile against real-time market data (Jobstreet, LinkedIn) to pinpoint exactly what they are missing.

1

Instant CV & Profile Analysis
2

Identification of Missing Industry Skills
3

Automated Free Course Recommendations (Coursera, Dicoding)

Monetization

Business Model & B2B Strategy

B2C Freemium & Affiliates

The core roadmap feature is free, driving massive user growth. We monetize through Affiliate CPA (Cost Per Action) when users upgrade to paid certificates on our partner EdTech platforms. Premium B2C features include Live AI Mock Interviews.

B2B API Licensing

We license the Skillsy Semantic CV Extraction API to corporate Applicant Tracking Systems (ATS). This allows companies to automatically screen candidates based on competence match percentage.

Under The Hood

Neuro-Symbolic Architecture

Skillsy is not a standard LLM wrapper. To prevent AI hallucinations and ensure 100% accurate readiness scores, we utilize a Neuro-Symbolic approach combining deterministic Knowledge Graphs with Semantic parsing.

Deterministic Engine (Symbolic)

Skill gap calculation is purely mathematical. We use a proprietary Knowledge Graph updated daily from real-world job portals to compute the exact match percentage. No guessing, 100% deterministic.

Semantic Parser (Neuro)

Llama 3.3 (via Groq LPU) is strictly utilized at the edge layer to semantically parse messy CV PDFs into structured JSON. Groq guarantees sub-second inference speeds for real-time UX.

Tech Stack

Frontend is a Vanilla JS SPA running on Vercel Edge for zero-overhead rendering. Backend powered by FastAPI (Python) for asynchronous agentic workflows.

Context-Aware Advisory

The AI Advisor is injected with the computed gap analysis JSON payload, allowing it to provide hyper-personalized mentorship based on factual missing skills, not generic advice.

Anticipated Questions

Investor Q&A

Why use AI instead of a static rule-based system?

The job market evolves rapidly. A static system requires manual updates for every new technology (e.g., React, Next.js, LLMs). Our AI understands contextual semantic relationships, allowing it to accurately map a student's project experience to industry demand instantly.

What is your Go-To-Market strategy?

We are executing a B2B2C approach by partnering with University Career Development Centers (CDC). By embedding Skillsy into university career portals as a graduation requirement or career prep tool, we achieve zero Customer Acquisition Cost (CAC).

How do you ensure the accuracy of the roadmap?

Our dataset is regularly fine-tuned using scraped data from major job boards in Indonesia (Jobstreet, Kalibrr). The AI compares the user's skills not against theoretical ideals, but against the actual requirements listed by employers this month.

Let's Connect

Interested in our Seed Round? Reach out directly to the founder.

EMAIL FOUNDER LINKEDIN PROFILE

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