SeekOut is one of the most powerful talent-sourcing engines a recruiting team can put its hands on. If your bottleneck is finding candidate names — surfacing engineers across GitHub, patents, and academic publications that a LinkedIn search would never reach — it is genuinely excellent, and enterprise recruiting teams choose it for good reason. SeekOut was founded in 2016 in Bellevue, Washington, by a group of former Microsoft leaders — CEO Anoop Gupta, a former Microsoft Distinguished Scientist, and CTO Aravind Bala, who led engineering on Bing search among them (SeekOut). The team originally built a messaging product, noticed customers wanted the underlying people-data more than the messaging, and pivoted into sourcing. The market rewarded that pivot. SeekOut raised $115 million in Series C funding in January 2022 at a $1.2 billion valuation, led by Tiger Global with participation from Madrona, Mayfield, and Founders Circle Capital — bringing total funding to roughly $186 million (Business Wire). Two years earlier it had raised a $65 million Series B and was already profitable (TechCrunch). Today it serves 750+ enterprise customers and has repositioned as an "agentic AI recruiting platform" (SeekOut).

The core of SeekOut is reach across public data. The platform indexes 1B+ public profiles, including 40M+ technical profiles pulled from GitHub, 97M+ subject-matter experts, and 3.7M+ security-cleared candidates (SeekOut). It layers on 300+ power filters, Boolean and natural-language search, and skills-based match scoring. What makes this more than a bigger LinkedIn is the data it pulls that LinkedIn doesn't expose: open-source contributions, patents, academic publications, and certifications. For hard-to-fill technical and specialized roles, that widens the top of the funnel considerably.

Depth on technical and specialized talent. The GitHub, patent, and publication data means you can find the engineer who's shipped real open-source work but never touched their LinkedIn — the kind of person a keyword search misses entirely. Diversity sourcing. SeekOut built dedicated diversity filters early, and it was a large part of its original traction. For teams with explicit pipeline goals, that tooling is mature and well-regarded. Cleared and hard-to-source pools. The 3.7M+ security-cleared candidate pool is a real differentiator for defense, government-adjacent, and regulated hiring where standard tools come up empty. Enterprise-grade adoption. With 750+ customers including some of the most valuable companies in the U.S., this is proven, supported software — not a bet on a young vendor (SeekOut).

SeekOut is a tool your team operates, and that shapes what you get from it. A few things worth matching to your situation: It surfaces names — your team does the rest. SeekOut is built for recruiters who will run the searches, write the outreach, work the replies, and manage the funnel. The platform is the multiplier; the human hours are still yours. If you have a recruiting team, that's exactly what you want. If you don't, the software alone won't close a hire. A profile is a starting point, not proof. The data tells you someone has GitHub activity or a relevant title. Whether they're genuinely strong — and specifically AI-native in how they work — is something you still verify yourself, through your own interviews and take-homes. It's an enterprise platform. The pricing, onboarding, and seat model are built for teams with steady requisition volume. That's a fit for a staffing function, and a heavier lift for a founder who needs one or two engineers.

Here's the thing a billion-profile database can't fix: the best engineers usually aren't discoverable that way. The ones you actually want are already working — booked on a contract somewhere else, heads-down, not maintaining a searchable profile and not answering cold outreach. A tool finds you the people who left a trail. It doesn't find you the person who never had reason to. Nextdev reaches the top 1% of AI engineers — the ones who aren't looking. We don't hand you a list of names and leave the sourcing, vetting, and hiring on your desk. We give each engineer a real problem to build and watch how they actually work, so you know they're AI-native because you've seen it, not because a profile said so. Then we employ them for you. One named engineer, working on your problem. The contract, payroll, and compliance never touch your desk — no searching, no screening, no employment paperwork you run yourself. SeekOut gives your recruiters a bigger haystack. We hand you the person. You're not picking from who showed up in the search. You're getting the engineer who never would have.

SeekOut is an excellent sourcing platform, and if you have a recruiting team and steady hiring volume, it will make them meaningfully more effective — especially for technical, cleared, and diversity sourcing. It earns its enterprise reputation. The question isn't whether it's good software; it is. The question is whether you want to run the sourcing, vetting, and employment yourself, or have one named, proven, AI-native engineer delivered ready to work. Different jobs, different tools — pick the one that matches the work in front of you.