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Industries · Recruiting & Staffing

Fill roles faster, with less manual work.

Linkt deploys AI across sourcing, screening, scheduling, and candidate communication — so recruiters spend their time with people, not pipelines.

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Use cases

Where Linkt goes to work in recruiting.

The repetitive, high-volume work behind every placement — handled continuously, with a recruiter on every decision that matters.

Sourcing & matching

Surface qualified candidates across your ATS and the open web, ranked against the real role.

Resume screening

Parse and evaluate resumes against requirements, with the reasoning shown for every shortlist.

Interview scheduling

Coordinate availability and book interviews across candidates and panels automatically.

Candidate communication

Draft and send personalized outreach, updates, and follow-ups — no candidate left waiting.

Intake & job descriptions

Turn a hiring manager conversation into a calibrated req and a sharp job description.

Pipeline & reporting

Track funnel health, time-to-fill, and source quality, and flag where deals stall.

In practice

Why this is harder than it looks.

A specialist firm's edge is its taste.

Knowing which candidate belongs at which company is not a keyword match — it is judgment built over years about culture, trajectory and the kind of work someone actually wants to do next. It is also the hardest thing to put into software, which is exactly why it is worth doing.

Judgment that cannot be everywhere at once.

The criteria are sharp; applying them is manual. Every candidate needs a first pass, every search starts from scratch, and the knowledge that makes the firm valuable lives in recruiters' heads where the day has a fixed number of hours. Encoding it is how the judgment scales without being diluted.

Fairness is a consistency problem.

Every candidate reviewed against the same criteria, applied the same way, with the reasoning visible — including the ones who apply at midnight and the ones whose résumé is formatted badly. Consistency is both the fairness argument and the quality argument.

Recruiters make the call.

Shortlists and messages are reviewable, decisions are logged and explainable, and the person stays responsible for the outcome. What changes is where their day goes: opening a role to a ranked shortlist rather than a blank search bar.

Built for recruiting

Fast, fair, and recruiter-controlled.

Recruiter in control

Every shortlist and message is reviewable — people make the call.

Compliant & auditable

Decisions are logged and explainable, with candidate data scoped and protected.

Live in weeks

Forward-deployed into your ATS and stack, not a year-long rollout.

How we deploy

Embedded, in production, in weeks.

The same three moves on every engagement, whatever the workload.

01

Embed

Forward-deployed engineers sit with your team to learn the real workflows, constraints, and definitions of done.

02

Deploy

We stand up intelligence around your systems — scoped, secured, and shaped to your operation from the first build.

03

Compound

What ships keeps improving and stays yours, so the value accrues to your organization over time — not the vendor.

Questions

Recruiting & staffing, answered.

How do you avoid bias in screening?

By making the criteria explicit, applying them identically to every candidate, and showing the reasoning behind every shortlist so a recruiter can see and challenge it. Decisions are logged, which makes the question answerable rather than theoretical.

Will it work with our ATS?

It deploys into the ATS and stack you already run. Duke Talent is a worked example of exactly this pattern — their story is on the customers page.

Can it capture how our firm evaluates people?

That is the point of forward deployment. Our engineers sit with your recruiters, build against how they actually decide, and tune it as your team reviews the system's assessments side by side with their own.