Hiring better

Next-generation hiring experience.
Hands-off, reliable recruitment tailored to your needs.

Automated candidate screening and evaluation

Hiring

Half measures don't cut it
We're transforming the whole process

Candidate Scorecard

85
  • Javascript
  • Python
  • Databases
  • AWS

Screening

Automated candidate screening

Holistically evaluate candidates against your job requirements using our advanced AI scoring system.

Great fit

Candidate Name
95
Another Person
93

Slight gaps

Candidate Name
75
Sister Person
72

Prioritization

Prioritize the right candidates

Get automated recommendations of the best candidates for your positions with detailed scoring and analysis.

Creating Software Engineer II job
Analysing job requirements
Creating job spec
Creating scorecards
Generating interview questions...

End-to-end

Effortless job creation

Create jobs in minutes with our state of the art job creation assistant.

> Javascript Experience

100

Candidate is a Javascript expert, with over 5 years of experience in the field. They have a strong understanding of the latest Javascript frameworks and libraries, and are able to implement complex solutions to challenging problems.

> Python Experience

80

Candidate is familiar with Python and has great overall experience. However they have not used it professionally in the last few years so they feel a bit rusty.

Feedback

Detailed candidate feedback

Receive comprehensive feedback for each candidate to help you make decisions at a glance.

Status Updates

1 new update
Squirrel AIJust now

Interview Scheduled: Software Engineer Position

Your interview has been scheduled for Tuesday at 2pm. Click to view details and preparation materials...

Squirrel AI2 hrs ago

Application Status Update

Your application has moved to the next round! Here's what to expect...

Squirrel AIYesterday

Interview Feedback Available

Your recent interview feedback is now available. View your detailed assessment...

Communication

Automated updates

Keep candidates informed with automated status updates and feedback.

The Problem

Traditional hiring is broken and inefficient

1,000+
applications per job

Overload

The AI Application Explosion

The recruitment landscape is being flooded with thousands of AI applications tailored to job specifications. This overwhelming number complicates the hiring process, making it challenging for recruiters resorting to most basic filtering.

6-7 seconds

Hasty Judgments

Superficial Review

Recruiters typically spend only 6-7 seconds on each CV, leading to subpar evaluations. This quick review means that many qualified candidates are overlooked, causing significant talent loss.

70%
candidates dropped

Poor Quality

Majority of the Applications are unsuitable

A staggering 70% of candidates are eliminated during the pre-screening phase, often due to misalignment between their qualifications and job requirements. This results in wasted time and resources sifting through unsuitable candidates.

1/2
of candidates proceed

Drop-off

The Screening Apathy

Among those who clear the initial screenings, only half complete take-home assessments, creating significant inefficiencies in the hiring process. This drop-off not only undermines the efforts of hiring managers and recruiters but also prolongs the time to fill critical positions.

100%
of requirements needed
for women to apply
60%
needed for men
to apply

Mind the Gap

Women and Men perceive job requirements differently

Women feel that they need to meet 100% of job qualifications to apply, while men often apply with just 60%, leading to a significant gender gap in the hiring process. These biases are often overlooked in the hiring process, where job specifications need to be carefully created to ensure fairness.