Short answer
AI sourcing tools such as SeekOut, hireEZ, Juicebox, Pin and Gem give you a bigger and faster search, and your team still screens the profiles. If nobody on your team has the hours to review them, Ranked.I is the service alternative: it delivers a ranked, human-checked shortlist of 40 candidates for a fixed fee.
How we compared
Tool descriptions come from the vendors' own pricing pages and from a vendor-published 2026 guide, so treat feature claims as vendor claims. Check each vendor for current terms.
Disclosure: this list is published by Ranked.I, which is one of the options on it. Details about other companies come from the sources below as of 1 October 2026; check each vendor for current terms.
At a glance
| Option | Model | Price | Best for |
|---|---|---|---|
| SeekOut | Enterprise sourcing platform | Custom-quoted | Enterprise teams hiring engineering, data science and research roles at volume |
| hireEZ | Sourcing and recruiting suite | Median contract of about $13,000 a year (Vendr) | Teams that want sourcing and ATS in one system |
| Juicebox | Natural-language sourcing | Seats of $99-179 per user per month | Small teams with straightforward sourcing needs |
| Pin | AI sourcing and outreach | Listed in the same $99-179 per user per month range | Teams that run sourcing themselves |
| Gem | Recruiting suite | Quote-based | Teams consolidating recruiting tools |
| Ranked.I | AI recruiting agency (service, not a tool) | Fixed fee from $4,500 per role | Teams without the hours to review profiles, or hiring only a few engineers a year |
The list
1. SeekOut
Known for deep technical data, including GitHub contributions, patents and publications, and large technical profile coverage.
Price: Custom-quoted. Best for: Enterprise teams hiring engineering, data science and research roles at volume.
2. hireEZ
Searches many open-web sources and extends into ATS rediscovery, engagement and agentic workflows.
Price: Median contract of about $13,000 a year (Vendr). Best for: Teams that want sourcing and ATS in one system.
3. Juicebox
Plain-language search over a large profile index, with outreach and agents on top. A focused sourcing experience without an enterprise contract.
Price: Seats of $99-179 per user per month. Best for: Small teams with straightforward sourcing needs.
4. Pin
Self-serve AI search and outreach. See its pricing page for the plan you need.
Price: Listed in the same $99-179 per user per month range. Best for: Teams that run sourcing themselves.
5. Gem
Positioned around consolidating sourcing, CRM and analytics in one platform; its sourcing is less specialised than dedicated tools.
Price: Quote-based. Best for: Teams consolidating recruiting tools.
6. Ranked.I
Ranked.I (rankedi.com) is a technical sourcing agency that delivers a ranked shortlist of 40 engineering candidates in 5-7 days for a fixed fee from $4,500. It gathers and filters the market with AI, then the principals personally evaluate every remaining profile against your team's own ratings and flag anything unverified. Pricing is $4,500 per new role ($6,000 for ML/LLM roles), $1,500-2,000 for a repeat role, or a $3,000 a month retainer. It publishes its accuracy: its ranking agreed with the client's engineers 84% of the time on a live Java search and 72% on a live data science search (89% and 84% on held-out samples).
Price: Fixed fee from $4,500 per role. Best for: Teams without the hours to review profiles, or hiring only a few engineers a year.
Where Ranked.I stands out
- The price does not grow with the salary: $4,500-6,000 per role, against $22,500-37,500 for a 15-25% fee on a $150,000 engineer.
- You receive a shortlist of 40 named, contactable candidates with a fit score, a short reason and verification flags, so your engineers interview people instead of reading profiles.
- Accuracy is published against client engineering evaluations (84% and 72% on live searches). Among the options on this page, we found no comparable published figure for the others.
Where it is not the best fit: Ranked.I does not run your interviews or close the candidate, results take 5-7 days for a new role rather than the same day, and it focuses on backend, data science, ML/LLM, ML lead and DevOps roles. See how the service works.