An AI recruiter that learns your company. And keeps learning, forever.
NThread is hired, not installed. It studies how your company actually works, watches how you decide, and learns from every yes, every no, and every hire. Useful in week one — and woven a little deeper into how you hire every month after.
Company in. Shortlist out.
The whole idea in one loop — deliberately abstract. We model your company, turn that into something only it has, map it onto the role, and score people against it. The how stays ours.
Hiring tools got faster at searching. None of them got better at knowing you.
A great in-house recruiter is valuable because they carry your company in their head — the stage, the taste, what "senior enough" means here. Tools never built that. So we built the recruiter.
Boolean search
You translate the role into filters; it returns whoever matches the strings.
- Reads the JD, never the company
- Zero memory between searches
- Same results for every customer
Semantic search
"Describe who you want." Better recall, same blind spot — it ranks on similarity to your prompt.
- Knows the words, not the company
- Query #500 is as smart as query #1
- Capped by how well you can prompt
An AI recruiter
Joins your company, studies it from the inside, and learns from every decision you make.
- Studies the company before the candidate
- Ranks like an insider, not a thesaurus
- Month six beats month one — by design
What you get is a colleague.
How it works stays in the family.
NThread does the job of a great in-house recruiter — research, sourcing, judgment, follow-through. The machinery underneath is deliberately not on this page.
It knows the company first
Before it ever looks at a candidate, it builds a working picture of yours — the stage, the pace, the taste, the patterns behind who thrives and who quietly doesn't. You get the conclusions. The sources and the method stay ours.
would call
It shortlists with judgment
Not the ten loudest keyword matches — the five people a sharp insider would actually call, each with a plain-English case your hiring manager will nod at. When it passes on someone impressive, it tells you why.
It compounds, month after month
Week one, it's already pulling its weight. Every month after, it knows more of your taste and roots deeper into how you hire — until going back to plain search feels unthinkable. That curve, not any one feature, is the product.
Deliberately vague? Yes. What it learns and how it learns it is our edge — and yours, once it's woven into your company. We open the box in a live demo, under NDA if you'd like.
Open the box →Every month, it roots deeper
This is the whole idea, animated: NThread moves into a company, weaves itself through it, absorbs how decisions get made — and starts pulling its weight.
It doesn't sit on top of your stack.
It takes root in it.
Great recruiters aren't great because of their database. They're great because of what they've absorbed about you. NThread is built to absorb the same way — on three clocks at once.
It watches
Which profiles you open, linger on, skip past. The taste you never wrote down anywhere — learned anyway, with zero extra effort from you.
It asks why
Every pass, every advance, every debrief carries a reason — and the reason is what it remembers. Your no's teach it more than your yes's.
It checks what worked
Hires who thrived, hires who didn't. The only feedback that finally matters — and the one no search tool ever gets to see.
"Give it a few months and NThread stops being a tool you bought. It becomes institutional memory — a colleague that knows your wins, your misses, and your taste, woven deeper every month. You can copy a feature. You can't copy months of someone else's judgment."
Every month it learns is a month no competitor can copy.
Start with one live role. From week one it earns its seat — and roots deeper every month after.
