Industry solution

Recruitment AI built for IT services

Match stacks, domains, and consulting experience to each SOW and JD—whether you hire freshers or senior architects.

500+ HR teams
90% Less screening time
100 Free credits to start

Hiring challenges we address

Practical constraints IT services teams face—and how structured JD–resume matching helps.

Stack noise in resumes

The same title hides different skills. You need matching that reads tools, frameworks, and project context—not buzzwords only.

Bench and project staffing

Moving people to the right account starts with who truly fits the JD, not who is available first.

Offer turnaround

Slow screening loses candidates to faster competitors. Automation cuts time-to-shortlist dramatically.

How Hire Nirnay fits your flow

Three steps from job description to ranked candidates and optional video interviews.

Paste the JD or SOW essentials

Skills, experience bands, client context, and mandatory tech go into one bucket per role or project.

Drop resumes in batch

Campus, referral, or vendor resumes—upload together and run one match pass.

Rank and drill into gaps

Use scores and explanations to see missing skills; export or send video interview invites to the top cohort.

Where teams get value

Typical scenarios where IT services organizations use Hire Nirnay.

Custom software delivery

GCC and captives in India

Contract staffing desks

Frequently asked questions

Quick answers for IT services hiring teams evaluating AI screening.

Yes. PDF, DOCX, and TXT are supported, and the model interprets common Indian education and employer patterns.

Export shortlisted candidates to CSV for import into most ATS tools. Deeper integrations depend on your ATS APIs.

After matching, you can invite candidates to async AI video interviews (25 credits per candidate) for deeper signal.