EdTech

Marvel PTE

How SIAGB designed, built, and scaled an AI-powered exam preparation platform from concept to 85,000+ users in under 6 months.

Industry EdTech
Timeline 6 months
Services Product Development, AI/ML Engineering, UX Design
85k+ Registered users
900+ Partner institutes
6mo Concept to launch
4.9 Google rating

Looking for product features and details? Visit the Marvel PTE product page.

The Challenge

English proficiency exams like PTE Academic are high-stakes — a few points can determine visa approvals, university admissions, and professional registration. Despite this, the available practice tools relied on static question banks with no intelligent feedback. Students had no way to understand why they scored a certain way or how to improve specific skills.

Our Approach

SIAGB built Marvel PTE as an internal product — designed, engineered, and operated by the same team that delivers client projects. A cross-functional team covering ML engineering, full-stack development, UX design, and exam content expertise took the platform from concept to production in under 6 months.

The strategy was clear: build the most accurate AI scoring engine on the market, wrap it in an adaptive learning experience, and launch fast.

Results

  • 85,000+ registered test takers across multiple countries
  • 900+ partner institutes
  • 2M+ AI-scored mock tests completed
  • 4.9/5 Google rating across 2,430+ reviews
  • 6 months from concept to launch
  • 3 exam formats supported — PTE Academic, PTE Core, LanguageCert Academic

What This Proves

Marvel PTE is SIAGB’s strongest proof of capability. It demonstrates the ability to design, build, and scale a production AI platform — not as a consulting exercise, but as a real product used by tens of thousands of people daily.

Every client engagement benefits from this depth of experience — the architecture decisions, the scaling challenges, and the operational discipline that come from running a live AI product at scale.

View Product Page Download Case Study (PDF)

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