🟡 Simple Process

A Smarter Way to Hire Data & AI Talent

We’ve streamlined the hiring process so you can focus on building, not recruiting. From requirement to hire in as fast as 30 days.

01

Share Your Requirements

Timeline: Day 1

You tell us exactly what you need. We don’t just collect job descriptions—we understand your business context.

What we need:

  • Role details and responsibilities
  • Required tech stack (Databricks, Snowflake, PyTorch, etc.)
  • Domain expertise (FinTech, HealthTech, Retail, etc.)
  • Team culture and working style

Your involvement: 30-minute intake call

02

We Source & Vet

Timeline: Days 2-10

We tap into our pre-vetted talent pool and actively source from our networks—LinkedIn, Naukri, and close professional connections.

Our vetting process:

  • Resume screening for relevant experience
  • Technical skill assessment
  • Domain knowledge evaluation
  • Communication and culture fit check

Our commitment: Only relevant candidates. No resume spam.

03

Interview Ready Candidates

Timeline: Days 10-20

We present a shortlist of candidates with our detailed assessment notes. You interview at your own pace.

What you get:

  • Curated shortlist (typically 3-5 candidates)
  • Our assessment notes for each candidate
  • Technical screening results
  • Availability and notice period details

Your involvement: Conduct interviews

04

Hire & Scale

Timeline: Days 20-30

Once you select a candidate, we help facilitate the offer and onboarding process.

What we provide:

  • Offer negotiation support
  • Onboarding coordination
  • Ongoing support for scaling

Our commitment: If it doesn’t work out in 30 days, we find a replacement at no extra cost.

Why Traditional Staffing Doesn’t Work for Data & AI

Traditional StaffingLeadScope
Generic recruiters for all rolesSpecialized in Data & AI only
Keyword matchingBusiness-aligned matching
Bulk resumesCurated shortlists
Weeks to shortlistDays to shortlist
No domain expertiseDeep tech understanding
Transaction-focusedPartnership-focused

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