Hundreds of applicants come in. Our system screens every CV with AI, sends cognitive and personality tests automatically, and shows you the top candidates.
Set it up once. Every applicant goes through the same rigorous pipeline — no manual work required.
Compatible with all job sites including LinkedIn, Indeed, etc. Either using a custom application page, or using bulk CV upload.
Our AI reads each CV against your job description and company context. It evaluates experience, skills, and domain expertise — scoring every applicant on a 1–10 scale per role.
Candidates who pass the CV screen automatically receive cognitive ability tests, personality assessments, and (for technical roles) coding or CAD exercises. Reminder emails are sent if they don't complete them.
Everyone is ranked on a spreadsheet. You can access the spreadsheet and contact the top candidates yourself. Alternatively, the system can handle it for you, and automatically set up interviews on your calendar with the top candidates.
Not keyword matching. Our AI reads every CV in context — your company description, the specific role requirements, the skills that matter. Each candidate gets scored on education, experience, domain expertise, and overall fit.
Timed, multi-section assessments that measure reasoning, pattern recognition, numerical ability, and spatial intelligence. Each test is randomised and proctored — no answer sharing, no shortcuts.
There are only 4 personality traits that consistently predict job performance in scientific studies: conscientiousness, integrity, emotional stability, and proactive personality. Our system measures all 4, in just 9 minutes. The test uses a forced-choice format, making it impossible to fake a desirable profile.
Software and engineering roles get an additional practical exercise. Coding challenges run in a live sandbox with screen recording. Performance is rated automatically.
def find_optimal_route(graph, start, end):
distances = {start: 0}
queue = [(start, 0)]
while queue:
node, dist = queue.pop(0)
for neighbor, weight in graph[node]:
new_dist = dist + weight
if new_dist < distances.get(
neighbor, float('inf')
):
distances[neighbor] = new_dist
queue.append((neighbor, new_dist))
return distances.get(end)Every assessment is designed to resist gaming, AI assistance, and answer sharing. You get real signal on real ability.
Every section is timed. Candidates can't pause to look up answers or feed questions to ChatGPT.
Cognitive tests use visual artifacts that make them unsolvable for ChatGPT, Gemini & co.
Personality tests use forced-choice ranking, not self-ratings. It's nearly impossible to game the desired profile.
Each applicant is fingerprinted. Duplicate applications and proxy attempts are flagged automatically.
Technical exercises are screen-recorded. You can verify that candidates solved problems themselves.
All scores are z-scored against population data. Set percentile cutoffs and the system enforces them automatically.
Hiring for sales, support, ops, or admin? AI screens CVs for relevant experience while cognitive and personality tests surface the best communicators and problem-solvers.
Add coding exercises on top of the standard pipeline. Candidates write real code in a live sandbox, with screen recording to verify they solved it themselves.
Mechanical, electrical, or product design roles get CAD exercises with 3D model validation. Spatial intelligence tests are included automatically for technical positions.
Here's what changes when you automate.
Set up your first job listing in minutes. Every applicant gets screened, tested, and ranked — automatically.
No commitment required. We'll walk you through the setup.