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GLEAC

Worked at
  • AI
  • Mentor Network
  • Voice AI
  • RAG
  • SaaS

Ionio turned GLEAC’s 1,000-person mentor network into an AI-native platform, cutting mentor onboarding from an hour to under ten minutes and doubling intake (100% increase). Six AI systems shipped over two years, from a voice interviewer to automated evaluation and matching.

Features

Voice Interviewer
A live, conversational onboarding that reads an applicant’s LinkedIn profile and generates every question in real time from their prior answer, so no two interviews are alike and answers are hard to fake with ChatGPT.
Mentor Evaluation System
Automates the three-human evaluation batch that once took three to four weeks, aiming to cut manual effort roughly 95%, bring approvals down to same-day, and remove the inconsistency of evaluators scoring the same application differently.
Micro Practice Engine
A RAG-based recommendation system with three entry points—a pasted LinkedIn profile, a plain-language question, or an uploaded document—that resolves to a journey map of relevant lessons and a conversational walkthrough of situational questions.

Case study

Blogs

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