What our partners say about us.
Two deployments, written up in full. Both started the same way: a team with sharp judgment and no way to apply it at the volume the business actually generates.
District signals to Salesforce, on autopilot.
“Lightspeed decided to embrace AI early to deliver more than ever before to our schools and students. We looked for partners who enabled us to move fast but also carefully. Data protection, student safety, and school trust are our top priorities. Linkt immediately understood this and have become a trusted partner this past year. I highly recommend the team.”
Chief AI Officer, Lightspeed Systems
Expert-level screening, around the clock.
“Linkt took the way we evaluate talent, the judgment we've built over a decade in this industry, and turned it into systems that work around the clock. Our team now spends far less time screening and searching, and far more time where we create real value: with designers and studios.”
CEO, Duke Talent
Two industries, one shape of problem.
Different sectors, different stacks, the same bottleneck: expert judgment that lives in a handful of people, and far more work arriving than those people can personally touch.
The expertise was already in the building.
Neither engagement started with a knowledge gap. Both started with a distribution problem — the right answer existed inside the company and could not reach the volume of decisions that needed it.
The first build was narrow on purpose.
One workflow, one team, one outcome someone was willing to be measured on. A narrow first deployment is not a pilot; it is the version that has to survive real users before anything else gets built on top of it.
Security was settled before the demo.
In both cases the access model, the audit trail and the failure behaviour were agreed before anyone saw a working screen. That is slower for a fortnight and faster for a year.
The system outlived the engagement.
What we hand over keeps earning after we step back, because the workflows, the evaluation harness and the data stay in our client's hands rather than ours.
Three things make a deployment go quickly.
None of them is budget, and none of them is a finished specification. What actually predicts a fast first deployment is far more boring than that.
One workflow you can name.
Not a department and not a strategy — a specific piece of work with a beginning and an end, that happens often enough for anyone to notice it improving.
Someone who owns the standard.
A person who can say whether an output is right or wrong without convening a committee. Their judgment is what we encode; without them there is nothing to build against.
A route to real data.
Eventually, scoped and audited. We can start on samples, but a system that has never seen your live edge cases has not been tested — it has been demonstrated.
The questions these two stories usually raise.
Can I speak to a reference customer?
Yes. Once a conversation is far enough along to be worth their time, we introduce you to a client working in a comparable environment — ideally one who had the same objection you do.
Why only two stories?
Because these are the two we have permission to describe at this level of detail. We would rather publish two engagements in full than a wall of logos we are contractually unable to talk about.
Are the numbers on these pages yours or theirs?
Theirs. Anything stated as an outcome came from the client, in their words. We do not publish modelled results, projected savings or internal estimates as though they had been measured.
My industry is not represented here. Does that matter?
Less than you would expect. What transfers between engagements is the shape of the problem rather than the sector — a real standard of correctness, and someone whose job is to enforce it.
Your version of this starts with one workflow.
Bring us the process everyone has quietly agreed is too messy to automate. That is usually the one worth doing first.
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