Client name and project details are withheld under NDA. Visuals on this page are illustrative, not the client's product.
A Next.js and Python Recruiting Platform With AI Matching, Video Screening Interviews and Outreach for a UK Startup
- AI Development
- Web Platforms
- Integrations
Result
A recruiter platform where AI matches candidates, runs video screening interviews and reaches out, connected to the tools recruiters already use
Key Results
- AI CV parsing, scoring and role matching
- AI-led video screening interviews
- AI-assisted candidate outreach
- Integrations with recruiting and communication tools
Engagement
Several months
Stack Highlights
The Challenge
"Recruiters spend most of their day on work that doesn't need a human: reading CVs, deciding who fits, and sending the same first messages over and over. A UK AI recruiting startup wanted a platform that takes that work off recruiters so they can spend their time on the candidates worth talking to."
AI in hiring has to be useful and trustworthy at the same time. The platform needed to match and screen candidates against real roles, help reach out to them at scale, and fit into the recruiting and communication tools teams already rely on, without hiding how decisions were made from the recruiter.
Our Approach
We built the recruiter web app in Next.js and the Python services behind it: jobs, candidate pipelines, search and the recruiter dashboard; AI matching and screening that parses CVs and scores candidates against roles; AI-led video screening interviews and candidate outreach; and the integrations and backend that connect it all to recruiters' existing tools.
What we built
The recruiter web app (jobs, pipelines, candidate search and dashboard), AI CV parsing, candidate scoring, role matching and screening questions, AI-led video screening interviews, AI-assisted candidate outreach, and the Python backend with integrations into recruiting and communication tools.
How it fits together
The recruiter workspace
Recruiters need one place to see every role and every candidate. We built the Next.js web app around jobs, candidate pipelines, search and a dashboard, so a recruiter can see where every search stands at a glance.
- Jobs and candidate pipelines
- Candidate search
- Recruiter dashboard
AI matching and screening
Reading every CV by hand is the slowest part of recruiting. We built AI that parses CVs, scores candidates against a role and applies screening questions, so recruiters start from a ranked shortlist instead of a pile of applications.
- AI CV parsing
- Scoring and matching candidates to roles
- Screening questions
AI video screening interviews and outreach
First-round interviews take recruiters hours every week. We built AI-led video screening interviews, where candidates answer on video and the AI runs the first round, plus AI-assisted outreach, so recruiters only step in once a candidate has shown they're worth talking to.
- AI-led video screening interviews
- AI-assisted candidate outreach
- Recruiters step in for the best candidates
Integrations and backend
A recruiting tool only sticks if it fits the stack teams already use. We built the Python backend and the integrations with recruiting and communication tools, plus the APIs and infrastructure the platform runs on.
- Python APIs and services
- Integrations with recruiting and communication tools
- Infrastructure for the platform
The Outcome
Recruiters on the platform start from AI-matched shortlists and AI video screening interviews, so their time goes to the candidates who have already shown they're a fit.
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