Stitch vs SeekOut

SeekOut and Stitch both go beyond a single professional network to find candidates other tools miss. The difference is what you are searching, and who does the searching.

SeekOut is a talent search platform built on an aggregated profile database, drawn from public sources, that you query with filters. Stitch runs a fresh, live search for every role, scores what it finds with a model trained on your company, and reaches out to book the interview.

The short version

• Data. SeekOut searches a database it built ahead of time and shares across customers. Stitch searches the live internet fresh for every role.
• The searcher. SeekOut hands you filters and AI agents to run. Stitch decides who to look for and does the searching for you.
• Scoring. SeekOut ranks by the filters and search you set. Stitch scores every profile with a model trained on your company's bar.
• Outcome. SeekOut gives you a list to work. Stitch gives you interviews on your calendar.

At a glance

How each one actually works

SeekOut hands you a database, filters, and a layer of AI agents to run, then keeps your team in the driver's seat. Stitch trains a model of your company and keeps it at the center of the whole loop: learning who you are, searching the world live for every role, and reaching out, with every result feeding back in.

Data: a shared database vs a live search

SeekOut aggregates profiles from many public sources, so it reaches past the obvious network, including technical and hard-to-find talent. But it is still a pre-built database: assembled in advance, shared across every customer, and refreshed on SeekOut's schedule rather than gathered live for your role.

Stitch does not keep a single static list. For each role it deploys the Stitch Swarm: thousands of autonomous agents that go out across the live internet and gather candidate data the way a person would, in real time. No two searches are the same, and different roles pull from different sources. A simple example: lawyers often have thin profiles on professional networks, but their firm's own website describes what they have actually worked on, so the Swarm goes there. Engineers leave a trail in source code repositories, so it goes there too. Because Stitch is not dependent on any one source, the data it scores is gathered fresh rather than read off a shelf.

It is not only where Stitch looks, but how much it sees. An aggregated database carries one record per person. The Swarm builds a fuller, multi-source picture of each candidate, the work itself and not just the headline, which is the raw material a deep score actually needs.

Scoring: filters vs a model of your company

Filters are a shallow, one-size-fits-all read, the same logic for everyone. Filter by a technology, a title, or years of experience, and you get what every other company using those filters gets.

Stitch scores every profile with a model that is custom to your company, trained on your roles and your past decisions, and surfaces only the top 0.1% for your role. The scoring engine was built by our founding team, ML engineers from Microsoft and Google with 17 AI patents between them. It is not a relevance score with your keywords on top. It is a model of what great looks like at your company.

This matters more than it looks. On a single role Stitch considers around 200,000 candidates, far more than any team could work through by hand, and only the candidates near the top of the ranking ever get contacted. So a small difference in scoring quality is the difference between a great candidate getting an interview and never being contacted at all. That is why the score has to be right.

A filtered search returns a list in seconds because it is reading off a shelf. Stitch gathers and deeply scores every candidate from scratch for each role, using powerful models trained specifically for your company. That work is exactly why the candidates at the top of the list are the right ones.

Outreach: a list to work vs done for you

A database hands you candidates to reach out to. SeekOut includes messaging tooling, and its newer AI agents and managed service automate more of the outreach, but in its core product you still decide whom to contact and what to say. Stitch writes the outreach itself, from a messaging template you approve, sends it from your team's own accounts, and books the interview when a candidate is interested.

Because the message comes from a real, senior person at your company, the kind of note a founder or department head would send, rather than a faceless agency recruiter, the people Stitch reaches actually reply. And because each candidate is scored against your bar, the interviews it books are high quality: customers accept around 90% of them, with most teams seeing their first interview within hours.

It gets better with every interaction

SeekOut's agents can adjust within a search, but it does not train a dedicated model on your hiring decisions. Stitch does. Every scoring review, every declined meeting, every interview transcript, and every piece of post-interview feedback trains your custom model on what great actually looks like for you. The model is sharper after your hundredth decision than it was after your first, and it is yours alone.

And it does not stop at the booking. Stitch helps your team prepare for each interview, supports you live as it happens, and helps with the decision afterward. Every interview signal then feeds back into your model, so the next role is sharper than the last.

So which should you choose?

If you have a sourcing team that wants a database with filters and AI agents to run, SeekOut is built for that.

If you want candidates found, scored to your bar, and booked without running searches yourself, that is what Stitch was built to do. The difference starts at the very first step, before anyone runs a filter.

You can start a 14-day trial and see real candidates on your calendar before you decide. Most customers only pay on a successful hire.

FAQ

Doesn't SeekOut already go beyond one professional social network like Stitch? SeekOut does aggregate from many public sources. The difference is timing and ownership: SeekOut searches a database built in advance and shared across customers, while Stitch gathers data live for your specific role and scores it with your own model.

Does Stitch cover as much as an aggregated database? Stitch is not limited to a fixed index. The Stitch Swarm goes wherever a candidate's footprint lives, per role, so coverage is shaped by who you are looking for rather than what was indexed earlier.

Do I still have to do the outreach? No. You approve the messaging template, and Stitch writes and sends each message from your team's own accounts, which is why the people it reaches reply, and it books the interview when a candidate is interested.