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Industries

Where we go to work.

The constraint that shapes a deployment is rarely the technology. It is the review board, the privilege boundary, the regulator, the record. These are the six worlds we spend the most time inside.

Financial services

AI deployed inside your compliance perimeter.

Linkt brings intelligence to onboarding, compliance, document processing, and research — built to satisfy the controls your regulators and risk teams require.

  • Auditable by default
  • Scoped access
  • Explainable outputs
Healthcare

Intelligence for the work around the care.

Linkt deploys AI across documentation, authorization, intake, and revenue workflows — designed for PHI handling and the realities of clinical operations.

  • HIPAA-aware handling
  • Source-grounded
  • Clinician in control
Legal

AI that reads every clause, not just the headline.

Linkt deploys intelligence across the legal workflows that consume your team's hours — review, research, diligence, and drafting — inside your security and privilege boundaries.

  • Privilege & confidentiality
  • Your playbook, enforced
  • Human sign-off
Real estate

Intelligence across every lease, deal, and asset.

From lease abstraction to market research to closing packages, Linkt deploys AI around how your real estate team actually transacts and operates.

  • Document-grounded
  • Your data stays yours
  • Review before it books
SaaS

Embed intelligence across your product and GTM.

From support to internal copilots to go-to-market, Linkt deploys agents that fit your product, your data, and your team — and ship to production fast.

  • In production in weeks
  • Secure by default
  • Grounded in your product
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.

  • Recruiter in control
  • Compliant & auditable
  • Live in weeks

Not listed? The pattern still holds. What matters is whether your work has a real standard of correctness and someone whose job is to enforce it — that is the environment we are built for.

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What actually shapes the build

Four constraints, in every industry on this page.

The sector language differs wildly and the underlying obstacles barely do. Almost every deployment we run is shaped by some combination of these four.

01

The review board.

Somebody has to sign off before this touches production data. Design for that conversation from the first week and it is a meeting; leave it to the end and it is a rebuild.

02

The privilege boundary.

Who is allowed to see what, enforced by the system rather than by convention. Most AI pilots quietly ignore this, which is precisely why they stay pilots.

03

The regulator.

In several of these worlds an outside body can ask you to justify a decision after the fact. That turns explainability and retention from features into requirements.

04

The record.

The authoritative version of what happened — the file, the chart, the case, the ledger. A system that cannot write to it correctly will always be a side channel people work around.

Fit

When we are the wrong call.

We would rather say this on a website than three weeks into an engagement, so here is where we are honestly not the right partner.

You want something you can buy today.

There are good products out there. If an off-the-shelf tool covers eighty per cent of your workflow, buy it — a forward-deployed build is the wrong instrument for that job.

Nobody can say what correct looks like.

With no standard and no one whose job it is to hold it, we have nothing to encode. The first piece of work there is organizational, not technical.

The goal is a headline, not a workflow.

We are a poor choice for an AI announcement. Everything we build is measured on what it does in production long after the announcement would have been forgotten.

Sector questions

What regulated teams ask us first.

Does our data train anything you keep?

No. Your data serves your deployment and nothing else. It is not retained for our benefit and it does not improve a product we sell to anybody else.

Can this run inside our own environment?

Yes. Deployment topology is a decision we make around your controls rather than one we hand you, and for several of the industries on this page that means running in your tenancy.

How do you handle an auditor asking why the system did something?

The record is a design requirement rather than a log added later — what the system saw, what it produced, which policy applied, and where a person intervened.

Our industry is not listed. Should we still call?

If your work has a real standard of correctness and somebody accountable for enforcing it, we are probably a fit regardless of the label above the door.

Next step

The constraint is the brief.

Tell us what your reviewers, your regulator and your record actually require. That conversation is where a deployment either becomes possible or does not.

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