Resumes in bulk
A folder off a drive, a WhatsApp number, or an inbox. They are read, de-duplicated against everyone already on file, and queued for a person to confirm — hundreds at a time, without anybody opening them one by one.
Applicant tracking for hiring at volume.
Hirelane takes the pile a recruitment drive actually produces — scans, photographs, forwarded attachments, a spreadsheet somebody keeps — and turns it into candidates with names, contacts, places, and a reason for every decision made about them. The reading is done before anybody sits down. The deciding is still theirs.
Sign in to your workspaceA folder off a drive, a WhatsApp number, or an inbox. They are read, de-duplicated against everyone already on file, and queued for a person to confirm — hundreds at a time, without anybody opening them one by one.
A photograph of a printed CV, or a scan saved with no text layer, has nothing a parser can take. On request those are transcribed and go through the same review as everything else. Never on upload, and never imported on their own.
Every criterion a candidate matches points at the line of the resume it was found in. Missing evidence stays missing rather than being inferred, and screening never rejects, hires, or moves anybody. It puts a person in front of a person.
Candidates are placed to state, district, mandal, panchayat, and village against a gazetteer, with the words the match came from kept beside it. Unresolved and ambiguous stay visible instead of being quietly filed somewhere nobody checked.
Questions about your workspace, answered from your workspace. A language model chooses which question was asked; every figure is counted out of your own records. No candidate's details are sent to a model, and no number is ever generated rather than counted.
Who moved somebody, when, and from what. Stage history, scorecards, offers, and every administrative act are written down and scoped to your organization on the server, not in the browser.
The work a machine is good at — reading, matching, counting, de-duplicating — is done before a person sits down. Every decision that affects somebody’s application is still made by somebody, and written down with their name on it.
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