Recruiters already have plenty of tools to choose from. So, when another AI recruiting tool enters the market, the obvious question is: why should I switch?The simple answer is that EdgeTal isn't trying to become another recruitment platform. So, let's look at what AI for recruiters can actually do differently and where EdgeTal fits in.
Why Are Recruiters Looking Beyond Traditional Recruitment Tools?
LinkedIn Recruiter and Bullhorn are popular for a reason. They're established, capable tools that many recruiters already know how to use.
But they're also built for a certain scale.
As of this writing, LinkedIn Recruiter's publicly listed pricing starts around $140 a month for the Lite tier, with the full version reportedly running closer to $900 per seat. Bullhorn's pricing is typically quoted in the $99 to $315 per user range, and industry estimates put the total cost for a 20-person agency at $60,000 or more a year once contracts are factored in.
For a large recruitment company, pricing at that level can make sense against the value delivered. But if you're a solo recruiter or running a small agency, that's a different calculation entirely, you may simply not need software built and priced for a team of that size.
What About the Other Recruitment Apps?
There are lower-cost alternatives too, each with a different trade-off.
Workable's listed pricing runs roughly $299 to $599 a month. Greenhouse, at a reported $6,500 or more a year, is built primarily for enterprise, in-house hiring teams rather than boutique agencies. Zoho Recruit offers a free tier. Manatal is priced around $15 per user monthly and, as far as we could confirm, doesn't currently offer a dedicated downloadable mobile app, it's a web-based tool accessed through a browser.
(Pricing changes often, worth confirming current rates directly with each vendor before making a decision based on these numbers.)
Across most of this category, one pattern holds: the desktop version is treated as the primary product, and mobile, where it exists at all, is built around it rather than the other way around.
But recruiters aren't sitting at a desk all day anymore. If you're sourcing candidates between meetings or reviewing CVs while travelling, your recruitment app needs to work properly wherever you actually are.
That's one of the areas EdgeTal decided to approach differently.
How Is EdgeTal Different?
EdgeTal was built as a mobile-first AI recruiting app from the beginning.
Your candidate pool stays directly on your phone, and the AI runs on device. There isn't a cloud server in the pipeline for your candidate data to be sent to. Once everything is set up, EdgeTal can also work offline.
For a recruiter, this means you don't need to return to a desktop every time you want to search through candidates. But being mobile-first isn't the only difference.
01. Finding Candidates Beyond Keywords
One of the biggest problems with traditional candidate searches is that they depend heavily on exact keywords.
Imagine you're looking for someone with Agile and Python experience. A candidate might write that they "led sprints and automated workflows" without actually using the words "Agile" or "Python."
A keyword search can miss them.
EdgeTal uses semantic search instead. It looks at the meaning behind the candidate's experience rather than depending only on exact words.
In EdgeTal's testing, searches for "Agile and Python" could surface candidates whose CVs described relevant experience differently.
For recruiters, that means potentially finding good candidates who would otherwise stay buried in the candidate pool.
02. AI That Helps With Candidate Screening
Finding someone is only the first part. You still need to decide whether they're actually worth contacting.
EdgeTal gives each search result a match percentage together with information about where the match came from. If your original search is too broad, AI Assist can help refine what you're looking for.
Then, when someone looks promising, Analyse fit with AI brings together their skills, experience, education and certifications for a more complete look at the candidate.
The AI isn't there to make the hiring decision for you. It helps you get to the candidates worth looking at faster.
Why Does Privacy Matter in AI Recruitment?
CVs contain a lot of personal information, so another question recruiters should be asking is: where does that information actually go?
With many AI tools, candidate information needs to be uploaded somewhere before the AI can process it.
EdgeTal takes a different approach.
Candidate data stays on the device because the AI itself runs there. There isn't a server in the pipeline for the CV to be uploaded to. Privacy isn't an extra setting you need to turn on; it's part of how EdgeTal was built.
For recruiters handling candidate information every day, that's a pretty important difference.
Final Thoughts: Is EdgeTal Worth Switching To?
My answer would be that it depends on what you're switching from and what you actually need. If your current recruitment software works perfectly for your team, there's no reason to switch just because another AI tool exists. But if you're paying for features you rarely use, constantly returning to a desktop to get work done, struggling with keyword searches, or questioning where candidate data goes after you upload it, then EdgeTal offers a different approach worth looking at.
FAQs
What is an AI recruiting tool?
An AI recruiting tool uses artificial intelligence to help recruiters source, screen, match, and evaluate candidates more efficiently.
How does EdgeTal help recruiters find candidates?
EdgeTal uses semantic search to find candidates based on the meaning of their skills and experience rather than relying only on exact keywords.
Does EdgeTal store candidate data in the cloud?
No. EdgeTal processes candidate data directly on the device, so CVs don't need to be uploaded to a cloud server for AI processing.
Is EdgeTal a replacement for an ATS or CRM?
No. EdgeTal focuses specifically on candidate sourcing and screening rather than trying to replace a full ATS or CRM.