Interview scoring: 45% less variation between interviewers
We built an AI-assisted platform for recruiting teams that compares interview feedback with shared competency criteria, spots unusual scoring patterns and keeps clearer hiring records.
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
Overview
Client
LeoBrain
AI recruitment software for hiring teams
Engagement snapshot
The challenge
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.
A long stack of CVs makes it easy to miss someone who fits the role well.
Email tag across time zones keeps candidates waiting for an interview slot.
Reviewers under pressure can judge people differently, and names or photos can sway the result.
The solution
LeoBrain looks for passive candidates across many networks, imports profiles and runs personalised email sequences that stop when someone replies.
SmartRank reads each CV and scores it against the job description. CodeStream then tests ability through live coding and role-specific challenges.
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.
Key features
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
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
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
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.
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.
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
50+ networks
The engine looks for passive candidates and imports profiles in one click, in place of manual data entry.
Before: Manual searchAfter: Automated search
AI SmartRank
SmartRank scores each application on skills against the job description, which gives recruiters a ranked list to review.
Before: Manual readingAfter: Ranked list
24/7 voice interviews
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
The ranking is designed to ignore names, gender, age, photos and school prestige, and the review queue hides names.
Blind screeningAI scores and reports inform the decision. People make the final call on who is hired.
Human final callRecommendations come with a readable explanation of the skills behind the match.
Explained scoresJob requisitions can pass through multi-tier approvals, so the right people review each one.
Approval flowFaster delivery
Together these modules keep candidate records, scores and interview reports in one workspace.
Searches external networks and brings candidate profiles into the system.
Parses CVs and ranks them against each job description.
Holds jobs, requisitions, pipeline stages and approvals.
Keeps LeoBrain in two-way sync with Greenhouse, Lever, Ashby and Workday.
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.
LeoBrain uses its SmartRank engine to read each CV and score it against the job description. The ranking focuses on skills and is designed to ignore names, gender, age, photos and school prestige. Scores support the hiring team's judgement, and people still make the final decision on every candidate.
Yes. LeoBrain offers two-way sync with Greenhouse, Lever, Ashby and Workday, so candidate updates move between systems without manual CSV uploads. It also includes its own pipeline and job management tools, for teams that would rather keep sourcing, tracking and reporting together in one place.
If your recruiters are buried in CVs and interview scheduling, talk to us about software that takes on that work.