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We map your operations, find where software creates real leverage, and tell you exactly what to build — before you commit to anything.
An internship company with an existing platform that functioned as a notice board. I rebuilt it into a two-sided AI-powered platform — with intelligent matching and an integrated interview flow.
“Post an internship. Accept applications. That was the entire platform.”
An internship company had an existing platform that did one thing — post internships and accept applications. No matching, no recommendation, no intelligence of any kind. Students browsed everything manually and determined relevance themselves. Interviews were coordinated entirely outside the platform.
No matching. No relevance. Browse everything, figure it out yourself.
Keyword search fails when meaning matches but terminology differs. A student who lists “data analysis” and an internship requiring “analytical skills” are a strong match — a keyword system misses it entirely. Vector embeddings understand semantic similarity. Matches are based on what the student means, not the exact words they used.
Keeping the meeting link inside the student portal eliminated the need for external coordination. No separate email threads. No third-party redirects. One less handoff in the process meant fewer drop-offs before the interview stage — which is where most platforms lose candidates.
Student and recruiter sides are fully complete. Onboarding, AI matching, application flow, recruiter dashboard, and interview notification system — all built and functional.
We map your operations, find where software creates real leverage, and tell you exactly what to build — before you commit to anything.