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LeoBrain:
AI recruitment from sourcing to scored interviews

We built LeoBrain, AI recruitment software that sources candidates, scores CVs against each role and runs AI-led voice interviews, with people making the final call.

Client: LeoBrainIndustry: HR TechService: AI & Automation

Live at:
Sourcing networks scanned
50+
Hiring tools in one system
10
AI-led screening interviews
Voice

Overview

Project
at a glance

Industry
HRTechRecruitment, where hiring teams split their day between CVs, job boards, interview calendars and separate tracking tools.
How we worked
Product engineering teamOur own team planned, designed and built LeoBrain as an in-house product, from sourcing through to hiring reports.
Goal
One system for the whole hiring processBring sourcing, screening, interviews and reporting together, while people keep the final say on every hire.
What we built
AI recruitment platformAn applicant tracking system with AI sourcing, CV scoring, skills assessments, AI-led interviews, scheduling and dashboards.

Client

Who we
built it for

LeoBrain

AI recruitment software for hiring teams

About the client
Recruitment, where hiring teams split their day between CVs, job boards, interview calendars and separate tracking tools.
What they needed
Bring sourcing, screening, interviews and reporting together, while people keep the final say on every hire.
Where they were
Recruiters can spend much of their week reading CVs, writing search strings and arranging interviews. That leaves less time for talking to the candidates who matter.

Engagement snapshot

Industry
HR Tech
Service
AI & Automation
Engagement
Product engineering team
Delivered
AI recruitment platform
Headline result
50+ · Sourcing networks scanned

The challenge

What was getting
in the way

Recruiters can spend much of their week reading CVs, writing search strings and arranging interviews. That leaves less time for talking to the candidates who matter.

Information also gets scattered. Candidates sit in inboxes, spreadsheets and job boards, and CV reviews can lean on gut feeling or on details such as a candidate's school, not their skills.

  • Strong applicants overlooked

    A long stack of CVs makes it easy to miss someone who fits the role well.

  • Scheduling delays

    Email tag across time zones keeps candidates waiting for an interview slot.

  • Uneven screening

    Reviewers under pressure can judge people differently, and names or photos can sway the result.

The solution

What
we built

  1. 01

    AI sourcing and outreach

    LeoBrain looks for passive candidates across many networks, imports profiles and runs personalised email sequences that stop when someone replies.

    Sources
    50+ networks
    Imports
    LinkedIn, GitHub, X
    Outreach
    Automated sequences
  2. 02

    SmartRank and assessments

    SmartRank reads each CV and scores it against the job description. CodeStream then tests ability through live coding and role-specific challenges.

    Scoring
    CV against job description
    Blind review
    Names hidden
    Assessments
    Live coding
  3. 03

    Interviews and pipeline

    Ved, the AI interviewer, holds voice interviews and hands over a scored report. Autopilot syncs calendars for later rounds, and the pipeline moves candidates along in one click.

    Interviews
    Voice, 24/7
    Scheduling
    Synced across time zones
    Integrations
    Greenhouse, Lever, Ashby, Workday

Key features

What made it
useful

  • AI interview

    Ved AI interviewer

    Ved asks questions drawn from the job description and CV, follows up on answers and produces a scored report for the hiring team.

    Business impact

    Scored interview reports

  • Requisitions

    Smart Requisitions

    Smart templates and multi-tier approvals keep job requests in one place, and generative AI helps draft the job descriptions.

    Business impact

    Multi-tier approvals

  • Reporting

    Dashboards and Insights

    Recruiters and moderators get their own dashboards, while leaders see live views of pipeline speed and talent quality.

    Business impact

    Views by role

Before and after

How the work
changed

Sourcing

Before

Boolean searches

Recruiters build search strings and check each site in turn.

After

Brief-led search

The team describes the role and LeoBrain searches its sources.

Screening

Before

CV by CV

Someone reads every application and judges it by eye.

After

Scored against the role

Every CV gets a score against the job description, and the review queue hides names.

Interview booking

Before

Email tag

Recruiters and candidates swap messages to find a slot.

After

Booking links

Dynamic links and synced calendars replace the message chain.

Results

The business
difference

  1. Sourcing

    50+ networks

    Candidates found across many networks

    The engine looks for passive candidates and imports profiles in one click, in place of manual data entry.

    Before: Manual searchAfter: Automated search

  2. Screening

    AI SmartRank

    Every CV scored against the role

    SmartRank scores each application on skills against the job description, which gives recruiters a ranked list to review.

    Before: Manual readingAfter: Ranked list

  3. Interviews

    24/7 voice interviews

    First-round voice interviews at any hour

    Ved interviews candidates by voice around the clock and leaves a scored report for the team to read.

    Before: Booked callsAfter: AI-led screening

Trust and control

How we kept it
safe and reliable

  • 01

    Blind review

    The ranking is designed to ignore names, gender, age, photos and school prestige, and the review queue hides names.

    Blind screening
  • 02

    Human decisions

    AI scores and reports inform the decision. People make the final call on who is hired.

    Human final call
  • 03

    Explained matches

    Recommendations come with a readable explanation of the skills behind the match.

    Explained scores
  • 04

    Approval steps

    Job requisitions can pass through multi-tier approvals, so the right people review each one.

    Approval flow

Faster delivery

Built on tested foundations

Together these modules keep candidate records, scores and interview reports in one workspace.

  • Sourcing engine

    Searches external networks and brings candidate profiles into the system.

  • Scoring engine

    Parses CVs and ranks them against each job description.

  • Applicant tracking

    Holds jobs, requisitions, pipeline stages and approvals.

  • Integrations layer

    Keeps LeoBrain in two-way sync with Greenhouse, Lever, Ashby and Workday.

FAQ

Straight
answers

Have a different question? Ask it on a 30-minute call.

Ask us on a call

LeoBrain is AI recruitment software for running the whole hiring process in one system. It covers job posting, candidate sourcing, CV scoring, coding assessments, AI-led voice interviews, interview scheduling and reporting, with a visual pipeline that lets recruiters move candidates between stages in a single click.

Build AI into your hiring process

If your recruiters are buried in CVs and interview scheduling, talk to us about software that takes on that work.