2. Still struggling to find the
right candidate at the right
time!!
As soon as there is a requirement for a position
in a company, the recruiters, hiring managers,
sometime the CEO (depends on company stage)
wants to close it as soon as possible. But we
know the realities!!
Stakeholders
Job Boards
Staffing Companies
Career Page
Referral
3. Pain points of HR Guys/Why Skillate:
Bad Vendor
Experience
Candidate
Driven
Market
Outbound
Hiring
Challenge
Finding/
Mapping the
Candidate
Screening
the Resume
4. Why we have started:
Hustle to find the Right
talent
Bipul Vaibhav (Co-Founder of
Skillate) has two publications on
AI and wanted to combine this
with a prospecting business from
college days.
Solving real world problem with
technology is what we founders
inspire for. So Skillate is the
combination of AI, gap in the
market, a problem which can be
solved with technology
5. What is Skillate?
HR Tech Web
Application with
recruiter way of thinking
Artificial Intelligence (AI) and
Deep Learning algorithms to
automatically read resumes Recommend the best
candidates from the mess of
data.
6. Benefits
Reduced Turn
around time by
30%
Recruiters focus
based approach
Central database
for Recruiters
Companies able
to approach the
candidates
7. Ineffective way to solve the problem:
•Finding the
right candidate
in one platform
and mapping
them manually
with different
social media to
know the
candidate
professionally
and personally.
•Sending
Inmails and
some random
mails to the
prospect
candidate.
Seeing all the
resume which
have been
received, no
matter the
relevancy
•Too much
dependence
on staffing
company
which
ultimately
leads to the
compromise in
quality.
•Storing all the
relevant
candidates
(came from
multiple
sources) in
different offline
folders for the
future
requirement.
9. Smart Solution:
One Dashboard Lure the Candidate
Personalized mail to
prospects
Automated
prioritization of
resumes
Candidate page
smart results
Reliability
10. Team:
Bipul Vaibhav Kumar Sambhav Anand Kumar
Ex - Data Scientist at DataWeave Ex - Senior Software Developer at Capillary Ex - Analyst at Tracxn NIT Jamshedpur
As soon as there is a requirement for a position in a company, the recruiters, hiring managers, sometime the CEO (depends on company stage) wants to close it as soon as possible. But we know the realities!!
Stakeholders:
Job Boards
Staffing Companies
Career Page
Internal referral/network hiring
Still struggling to find the right candidate at the right time!!
Multiple ways to close a position, job boards, external agencies, careers page resume, internal referral etc. But not beneficial as the position is still open.
Now the job market is shifting towards candidate driven and not company driven. So more manpower is required to convince the right candidate about the right job.
Not enough good people are applying (Job Boards and Careers Page) and finding them from a mess is a tedious task.
Third party vendors experience are pretty bad.
Reaching out to the candidates directly (outbound hiring) is a challenge.
Finding/mapping the candidate takes a lot of time and energy in different social media.
A lot of time in screening the resume only to find the right set of candidate for the interview process
We all three founders have worked in startups earlier. There we have seen the hustle people makes to find a right talent. Not only the recruiters but the tech and non-tech guys are involved in the entire process.
Bipul Vaibhav (Co-Founder of Skillate) has two publications on AI and wanted to combine this with a prospecting business from college days.
Solving real world problem with technology is what we founders inspire for. So Skillate is the combination of AI, gap in the market, a problem which can be solved with technology
Skillate is an HR Tech web application which has recruiter way of thinking to recommend the best candidates from the mess of data. The company uses the power of Artificial Intelligence (AI) and Deep Learning algorithms to automatically read resumes and finds the best match for a given job description.
Benefits of using Skillate:
Turn around time to hire a candidate is reduced by 30%.
Recruiters becomes more focussed on engaging candidates rather than sourcing them.
Central database of the company (resume) to work recruiters as a team.
Companies are able to approach the candidates (passive) out there available for a hire.
Turn around time to hire a candidate is reduced by 30%.
Recruiters becomes more focussed on engaging candidates rather than sourcing them.
Central database of the company (resume) to work recruiters as a team.
Companies are able to approach the candidates (passive) out there available for a hire.
Finding the right candidate in one platform and mapping them manually with different social media to know the candidate professionally and personally.
Sending Inmails and some random mails to the prospect candidate.
Seeing all the resume which have been received, no matter the relevancy.
Too much dependence on staffing company which ultimately leads to the compromise in quality.
Storing all the relevant candidates (came from multiple sources) in different offline folders for the future requirement.
One dashboard with the complete web presence (different social media) of a candidate.
Recruiters will focus on luring the candidate and having the conversation with them rather than finding and mapping each candidate profile. This will save the 30% time in hiring the right candidate.
Send highly personalised mail to the prospecting candidate depending on his web presence. The response rate of highly personalized mail is >40% than normal mail.
Automatic prioritising of resume as per the requirement, no matter how large is the data set.
Candidate Page start giving smart results as user don’t need to find the right resume after going through each applied one.
Relying more on the data available across the web than a staffing company.
One dashboard with the complete web presence (different social media) of a candidate.
Recruiters will focus on luring the candidate and having the conversation with them rather than finding and mapping each candidate profile. This will save the 30% time in hiring the right candidate.
Send highly personalised mail to the prospecting candidate depending on his web presence. The response rate of highly personalized mail is >40% than normal mail.
Automatic prioritising of resume as per the requirement, no matter how large is the data set.
Candidate Page start giving smart results as user don’t need to find the right resume after going through each applied one.
Relying more on the data available across the web than a staffing company.