Case study
AI-Powered Matching Platform
A two-sided hiring platform where AI matches anonymous candidate profiles to vacancies, from first match to booked interview.
- Client
- Equalify
- Industry
- HR & Recruitment
- Technology
- React & React NativeAzure.NET Core
At a glance
The problem
A CV carries name, age, gender and background along with the skills, and that shapes who gets invited.
What we owned
- Functional analysis
- Web and mobile development
- AI matching
- Azure cloud
What we built
- 01Anonymous profiles
- 02Match scores per vacancy
- 03Inbox and interview booking
- 04Credits for referrals
What changed
- Skills come first
- A shortlist, not a pile of CVs
- From match to interview in one place
The full story
The problem
Equalify wanted a job platform where candidates are judged on what they can do, not on who they are. Job seekers and employers each get their own side of the platform, and AI matching connects them on qualifications, skills, experience and preferences.
The platform had to match people on the skills alone, and still take both sides all the way from match to interview.
What we built
We built two journeys on one platform. Candidates register as students or professionals and fill in a step-by-step profile; employers set up a company profile and post vacancies for both groups.
An AI model compares each profile with each vacancy, leaves personal identifiers out, and scores the fit as a percentage. Candidates see their top matches, employers see a ranked table per vacancy, and the conversation moves to the platform's inbox, where interview slots are proposed and booked.
- Anonymous profiles
- Name, gender, nationality, age and ethnicity are left out when profiles are matched.
- Match scores per vacancy
- Every candidate gets a match percentage for each vacancy; employers see them in one table, candidates see their top five.
- Inbox and interview booking
- Employers propose time slots, candidates book one, and both get notified by email.
- Credits for referrals
- Candidates earn credits when someone they invite registers, and spend them to approach companies directly.
What changed
- Skills come first
- Employers meet candidates through their qualifications before they see anything else about them.
- A shortlist, not a pile of CVs
- Match scores rank candidates per vacancy, so the first review starts with the closest fits.
- From match to interview in one place
- Messages, time slots and confirmations stay on the platform instead of spreading over email and calendars.
Contact
Tell us what you want to solve.
Need a technology assessment, a software delivery partner, an AI pilot or more engineering capacity? Tell us the challenge. We will help define a practical next step.
- 01Tell us the challengeBy call or message, in your own words.
- 02We talk it throughWith consultants and engineers who build what they advise.
- 03You get a practical next stepAn assessment, a pilot, a delivery plan or a team.