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While you build great companies and products, we help you build that A-team that will get you there.

Fastnext is the world's most advanced outbound recruitment platform. Powered by 300 million plus profiles from across the public web and a proprietary AI algorithm, we help you identify top candidates with high odds of conversion.

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Equilateral, Mercurial and SkillNet work together to help you find and engage top passive talent.

Mercurial

Machine Learning engine trained on millions of job switches that predicts the likelihood of a candidate being receptive to a switch to your company. It helps you prioritise candidates who have a higher odd of conversion.

SkillNet

Deep neural nets for better semantic understanding of candidate skill profiles and job descriptions. Helps you run and re-iterate on your searches faster.

Equilateral

Assesses and ranks a person based on their work in a particular skillset, scholastic aptitude and online klout. Equilateral brings all of a candidate’s online portfolio in one place for your recruiters, helping them save time

Mercurial

Mercurial is an AI engine trained on millions of job switches that predicts the likelihood of a candidate being receptive to a switch to your company.

66.5%

Mercurial predicts the next move of a candidate with an accuracy of 66.5%. Major competitor Entelo claims 30%* on their predictions.

The parameters we look at to make candidate switch predictions are broadly along the following lines

  • arrow_rightThe state of the candidate’s career today
  • arrow_rightThe candidate’s work history
  • arrow_rightParameters pertaining to the state of your company today; your revenue, size, culture, leadership, etc.

We engineer these parameters into our deep neural networks to predict whether a candidate is suitable for your company and whether right now is the right time to approach a candidate.

Interpretable & transparent predictions

At Fastnext, we believe that the customer should be able to make sense of/relate to every prediction.
To this end, our model doesn’t merely give you an opaque probability of switch to your company, it also shows other companies that the candidate is likely to move to. Moreover, for every relevant candidate that our model thinks is not suitable for your company, we show you why.

Equilateral

Large-scale candidate data aggregation.

Equilateral pulls and maintains the portfolios and work history of more than 300 million candidates accross 30 social sites.

Veractiy

Volume

Search built upon 300M+ candidates worldwide, sourced from all across the internet. We bring everyone under one search for you.

Veractiy

Variety

Data aggregated from over 20 data bins across the web giving a holistic view of candidates. With Fastnext, you can take a look at all the work a candidate has done in one place.

Veractiy

Veracity

Highly scalable data aggregation infrastructure to keep candidate data up-to-date. See the latest for each and every candidate.

linkedin
Codechef
hackerRank
Github
Kaggle
Sphere online judge

Competition

Massive Candidate Dataset ATS Import Holistic Candidate View Candidate Reponse Prediction AI-based matching SME Friendly

Why Fastnext?

MORE COVERAGE

We aggregate candidates from across the web to make sure you have maximum coverage and you don’t miss your needle in the haystack.

LESS NO-SHOWS

Less candidate journeys in your recruiters’ pipelines that end with no-shows.

MORE RETENTION, LONG-TERM

We match candidates based on parameters like your culture and leadership quality ensuring higher retention on employees hired through us.

LESS TIME SPENT PER HIRE

Since your recruiters have everything in one place, with Fastnext, they have a more streamlined workflow with less tabs and clutter.

Core Team

The founding team is from Indian Institute of Technology, Madras, ThoughtWorks and Oracle.

Akhyansh Mohapatra

Akhyansh Mohapatra

Ramnandan Krishnamurthy

R Krishnamurthy

Adishesh kishore

Adishesh kishore

Vikash Singh

Vikash Singh

Mitesh Bulsara

Mithesh Bulsara

Santhosh Sagar Reddy

Santhosh Sagar Reddy

Madhu Lakshmanan

Madhu Lakshmanan

Vijay Shankar

Vijay Shankar

Fastnext

Here we are. Come to drink a coffee!