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AI agents that source, screen and shortlist for you.

Describe the role once. Monsoon searches 100M+ profiles and tens of millions of real resumes, reaches every candidate by call, WhatsApp and email, and runs your interviews through to the offer.

Book a demo →See it run a hire
The hire, step by step
01Source

The whole market, searched in minutes.

  • Describe the role in a sentence. Dexter writes the brief, the must-haves and the screening questions.
  • It searches your own pool and India's market: 100M+ profiles and tens of millions of first-party resumes.
  • Every profile is read on 30+ signals, so pay, notice, skills and career moves are known before anyone is called.
  • You see your real pool size before the first call.
02Calibrate

Three profiles at a time, until you say "these are great".

  • Dexter shows you three strong fits and asks what you'd give each.
  • When you disagree, it asks where it went wrong and fixes the scoring guide.
  • Then it shows three more, and keeps going until you agree on all three.
  • Every weight is visible. Nobody is scored until you approve it.
03Shortlist

A shortlist you can defend, before anyone is contacted.

  • Every name is scored against your guide, with the reason written out.
  • You decide who gets reached. Nobody hears from Monsoon without your yes.
  • One link for the hiring manager, with salary hidden if you choose.
  • Comments stay on the shortlist, not in email threads.
04Reach

Everyone on your shortlist, reached overnight.

  • AI calls, WhatsApp and email in one sequence, on the channel each candidate answers.
  • Your own questions are asked in the conversation: pay, notice, and whatever matters for this role.
  • Every answer comes back into the shortlist, so you read answers, not CVs.
  • Outreach stops the moment someone replies.
05Interview

Through to the offer, with engagement you design.

  • Interview rounds are scheduled on the same job, in the same place.
  • Design the engagement flow: check-ins before each round, reminders, and a nudge when someone goes quiet.
  • An early warning when a candidate seems to be wavering, so you can act in time.
  • Feedback from every interviewer, offers and joining dates, all in one place.
Interviews · Ananya RaoOn track
Round 1 · TechnicalCompleted · Strong hire
Round 2 · Hiring managerThu 11:30 · Confirmed by Ananya
Dexter checked in yesterday at 18:00. Ananya confirmed and asked for the address.
Karan may drop off. He has a competing offer. Want me to move his round to tomorrow?
Offer · Ananya RaoAccepted · joins 2 December

The hire is made. And the next one starts closer to right.

How it learns
You say"Karan's too junior. They need to have led a team."
Scoring guideLed a team 10 25
Next three1 of 3 → 3 of 3 rated great

The data nobody else has. Every line read. Every company looked up. On every resume.

0signals read

Ananya Rao

Senior Software Engineer

Bengaluru, Karnatakaananya.rao@mail.in+91 98450 •••••github.com/ananyarao

Summary

Backend engineer with 8+ years of experience building payments and logistics systems that handle millions of transactions a day. I enjoy owning systems end to end, from design reviews to the pager.

Experience

Kestrel PayBengaluru
Senior Software EngineerApr 2023 – Present
Software Engineer IIJun 2021 – Mar 2023
  • Led the migration of the payments ledger from nightly batch jobs to Kafka, cutting settlement time from 6 hours to 40 minutes.
  • On-call owner for the settlements platform for three years; wrote the runbooks the team still uses.
  • Mentored three engineers, two of whom were promoted within a year.
  • Designed idempotent payout APIs used by 4,000+ merchants.
Dabba LogisticsBengaluru
Software EngineerJul 2019 – May 2021
  • Built dispatch services in Go handling 2 million orders a day across 40 cities.
  • Cut p95 latency of the rider-assignment service from 900 ms to 180 ms.

Education

National Institute of Technology, Tiruchirappalli2015 – 2019
B.Tech, Computer Science and Engineering · CGPA 8.4

Skills

Go, Java, Kafka, PostgreSQL, Redis, Kubernetes, AWS, React

Looking for: senior or staff backend · Bengaluru, hybrid · ₹36 LPA now, expecting ₹42 LPA · 30 days’ noticeShared with Monsoon at sign-up · Sep 2026
100M+
profiles in the Monsoon database
10M+
real resumes, not scraped profiles
300K
new sign-ups every month
30+
signals read from every resume
Why Monsoon isn't another AI recruiter

Ten years of hiring. Not ten minutes of prompting.

Any team can put a model on a database and call it an AI recruiter. What decides the hire is everything built around it.

  1. DataScraped public profiles10M+ real resumes, and 300K new every month
  2. ModelsOne general-purpose modelThe right model for each step: one reads, one scores, one speaks on calls
  3. JudgementMissingTen years of hiring decisions: what good actually looked likeTen years of hiring decisions: what good actually looked like
  4. CalibrationYour JD, matched by similarityThree profiles at a time, until you agree they're great
  5. OutreachAn email sender, plugged inCalls, WhatsApp and email, built for recruiting in India
  6. The hireMissingInterviews scheduled, check-ins sent, through to the offerInterviews scheduled, check-ins sent, through to the offer

The result: a list of names, and the hard part is still yours.The result: a hire, in about three interviews.

How Monsoon compares. What each way of hiring gets you.

Yes Partly No Based on each product’s public pages, October 2026.

The engine behind Flexiple

100+ teams built on it. Now it's yours.

For ten years Flexiple has hired for startups and global teams on the engine inside Monsoon. Now you can run it yourself.

  • Swiggy
  • Careem
  • Ixigo
  • Cricbuzz
  • Noon
  • LaunchDarkly
  • Cockroach Labs
  • Plivo
  • Sprinto
  • Rocketlane
  • Haptik
  • Simpl
  • CertifyOS
  • TrueFoundry
  • Upcover
  • Urban Ladder
  • Airmeet
  • Plum
  • super.money
  • Stage
  • Apna Klub
  • CreditBook
  • Safegold
  • Simplismart
  • Supademo
  • Bito
  • FanCraze
  • Clearroute
“The team we brought on board are amazing. They work autonomously, are always responsive and consistently deliver excellent work.”
Anshul RathiFounder and CEO · CertifyOS
CertifyOS · Seed to $40M Series B
~60%
of their global tech team, hired on this engine
~3
interviews per hire
<2 wks
average time to onboard
3 yrs
and counting: engineering, data, product, ops
“Quality developers across technologies, and much more affordable for the same level of quality.”
Narayan VyasDirector of Product Management · Plivo
“Epic team that has helped us find stellar talent across marketing, sales and finance in India.”
AnishCo-founder · upcover
Turftown
“We anticipated at least four months. It came down to just two weeks.”
Lakshmi PalaniappanDirector · Turftown
100+
teams built
~3
interviews per hire
10 yrs
of hiring behind every score
4.6/5
on Trustpilot

Questions, answered.

Where does your data come from?

Most of it comes from people themselves: tens of millions of resumes uploaded by candidates who signed up, with about 300,000 more every month. It's enriched by data partners, and Dexter reads every profile on 30+ signals.

How is this different from a job board?

A job board gives you whoever applied. Monsoon searches the whole market, learns what good looks like for your role, reaches people who aren't applying anywhere, and brings back answers, not just CVs.

Does it replace my recruiters?

No. It takes the searching, screening, calling and chasing off their plate, so they spend their time deciding and closing. Dexter asks before changing anything.

How fast is the first shortlist?

You rate your first three candidates within minutes of describing the role. Outreach runs overnight, and the answers come back as people reply.

What can I ask candidates?

Anything that matters for the role. Pay, notice and location are built in, and you can add your own questions. Dexter asks them on the call, on WhatsApp or by email, and saves every answer.

What does it cost?

A platform fee, plus the resumes and outreach you use. Calibration and scoring are always included. Book a demo for a quote on your hiring plan.

Sunlight breaking through mist over terraced fields after the rain

Stop screening. Start deciding.

See Monsoon run one of your open roles, from the first sentence to the offer.

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