Spotly: structured candidate data from video interviews
Candidates speak naturally to camera; speech-to-text and NLP enrich their profile automatically, on iOS and Android.
0forms to fill: candidates speak instead of typing
Client
Spotly (DNA Solutions product)
Sector
AI · Recruitment · Mobile
Stack
Challenge
Traditional CVs and application forms rarely capture a candidate's full potential, and they are tedious to fill in. On the recruiter's side, collecting and structuring that information by hand is slow and inconsistent. There is a real gap between the way people tell their own story and the structured data a hiring pipeline actually needs. DNA Solutions set out to close that gap with a mobile-first product that lets candidates express themselves naturally while still producing clean, usable data.
The DNA Solutions approach
We built Spotly as a native iOS and Android product around a proprietary AI pipeline. A candidate records short videos, which OpenAI Whisper transcribes automatically.
An NLP layer enriches the profile: named-entity recognition with spaCy extracts people, places and skills, while Yake! surfaces the themes that matter. Recruiters receive structured tags and insights through a Python and Flask backend. The candidate talks; the profile builds itself.
Outcomes
- Candidates build a profile by recording short videos instead of filling in forms
- Speech-to-text plus NLP enrich each profile automatically with entities, keywords and tags
- Zero manual data entry for recruiters, with richer candidate understanding
- Delivered as a native product on both iOS and Android