20 Best AI Recruiting Software for 2026: Expert Reviews + Pricing

We’ve been testing and tracking Greenhouse since 2019, and with each new demo, one thing stays consistent: structure is at the core of everything it does, and that’s a good thing if you’re running a high-volume, high-stakes hiring operation.

During our most recent walkthrough, we were reminded why so many mid-sized and enterprise talent teams rely on this platform. The system doesn’t just let you post jobs and track applicants. It encourages alignment upfront, and that’s often a game-changer. Before a single interview is booked, recruiters and hiring managers can collaborate on structured scorecards, interview kits, and approval workflows that define exactly what success looks like for a role. In one test, we used a job template for a sales manager opening. Within minutes, we had a tailored interview flow that made it simple to assign the right questions to each interviewer, removing the guesswork from candidate evaluation.

The automation features are where the time savings really kick in. We enabled a rule to automatically send scheduling links when a candidate cleared the screening stage, and sure enough, Greenhouse fired off a branded email within seconds. The self-scheduling tool synced with our test calendar and completely removed the usual back-and-forth. This alone could save hours for busy recruiting teams.

Greenhouse took its time rolling out AI, and it shows. The resume filtering tool isn’t flashy, but it’s accurate. When we uploaded a batch of mixed-quality resumes, the system surfaced qualified candidates with precision, thanks to keyword and skill matching. The AI assistant helped us clean up disjointed interviewer notes, rephrasing them into clear, structured feedback. Additionally, email campaigns can now be auto-personalized using candidate profile data, which makes re-engagement easier at scale.

Reporting used to be one of Greenhouse’s weak points, but that’s changed. We built a dashboard for a TA leader showing conversion rates from screening to offer, then created a second for executives with DEI and time-to-hire data by department. Both took less than 15 minutes to customize. You can even pin reports to your home screen, which is a small detail, but we appreciated not having to dig through menus every time.

That said, Greenhouse’s pricing isn’t published, and based on what we’ve seen, this platform lands has been firmly in the premium category. More importantly, many of its strengths, like automation rules and reporting, require clearly defined processes to unlock real value. For early-stage startups or teams still figuring things out, the configuration alone can feel overwhelming.

It’s also worth noting that Greenhouse is an ATS and not a full-funnel recruitment suite. If you’re expecting native multi-channel sourcing, video interviewing, or candidate assessments, you’ll likely be disappointed. To bridge these gaps, third-party integrations are necessary, and this vendor offers such options nicely.

Last but not least, Greenhouse is built for internal talent teams, not staffing agencies. While it technically allows collaboration with external recruiters, the experience is far from ideal. If you try simulating an external partner workflow, you’ll see that there’s no direct access to candidate pipelines, and the ability to interact with feedback is pretty basic.

SpotHero, PetVet, Zerocater, CarGurus

Greenhouse offers a tiered plan lineup to meet various hiring needs. The foundational plan, Core, includes essential hiring tools. The Plus plan builds on this with added automation, advanced configuration options, and in-depth reporting. For complex and global hiring, the Pro plan offers enterprise-grade features, including robust governance, security, comprehensive analytics, and extensibility.

GoodTime has always been known for its ability to make scheduling engaging and straightforward, but with its most recent product updates, it’s pushing into full AI recruiting assistant territory, and the results are promising.

The platform now uses its Orchestra AI agents to automate more than just calendars. GoodTime can automatically advance qualified candidates, send rejection emails, trigger recruiter briefing requests, and even hold natural, human-sounding conversations with candidates. These agents, according to our tech tests, do a phenomenal job with scheduling, answer pre-interview questions 24/7, and escalate to a real recruiter (via Slack or Chrome) when needed.

Another strong feature is AI-powered interviewer capacity planning. Instead of relying on static availability, we like that GoodTime lets TA teams assess bandwidth based on availability trends, decline rates, and who is actually qualified to run each interview type. When hiring plans scale, recruiting leaders can now see what it will realistically take to execute them.

The AI agents also summarize candidate sentiment post-interview by department and time frame. We can imagine how helpful this functionality will be for TA and HR leaders, as it gives them a new layer of feedback so they don’t have to (and should not) rely solely on NPS surveys or anecdotal input.

Importantly, all of this is layered on top of what already made GoodTime great: branded, self-service portals, automatic load balancing across interviewers, and a structured training system for growing your interviewer pool.

To be fair, though, GoodTime is not a full recruiting automation suite. Rather than duplicating applicant tracking or sourcing features, it acts as the orchestration layer that connects with your ATS and HR tech stack. This specialized focus allows it to go deeper on scheduling, candidate communications, interviewer training, and insights — areas where most generalist systems fall short.  Hence, that means you’ll need to integrate with multiple platforms to run a complete recruitment funnel.

Setup can take some upfront work, particularly for large or complex organizations with layered workflows or multiple business units. Integrating with ATS systems like Greenhouse or Workday is possible, but according to some TAs we were in touch with, it often requires technical lift and careful change management.

Some users have noted occasional technical hiccups, such as time-zone mismatches or calendar sync issues. These are generally resolved quickly, but teams running primarily international hiring may want to pay close attention during setup and testing.

Finally, pricing can be a barrier. Costs are customized based on company size, interview volume, and contract length. While the resulting quote may be seem too costly for smaller teams, TA leaders often justify the investment with efficiency gains, reduced coordinator workload, and stronger candidate experiences.

Over 300 companies, including HubSpot, HelloFresh, and Pinterest.

GoodTime's pricing is customized and thought out for companies with a minimum of 250 employees, or those anticipating reaching that headcount.

Humanly has designed an AI-powered chatbot that is specifically built for mid-market companies in need of a tool that is simple and fast to implement. Recently, they started referring to this assistant-like bot as an “AI co-pilot”, which we think is an accurate term. The bot can automate screening, scheduling, and even join live interviews. From the latter, it can produce notes, entire transcripts, and insights based on the conversation.

Those insights are easy to share with the rest of your team, and come in handy to optimize future interviews, zone in on particular aspects of candidates (like how they answered a particular question), and, in general, save time while vetting. One thing we’ve always liked about Humanly is that they integrate easily with most ATSs, saving you the manual work of inputting data into another system.

We keep in touch regularly with the team at Humanly, and they are usually up to all sorts of interesting things. The latest rollout is a conversational AI that conducts structured, real-time video interviews — a bold step toward scaling early candidate engagement. Trained on your job criteria and employer brand, it interacts with applicants conversationally, aiming to be “human enough” to draw out authentic responses without pretending to replace real recruiters. Feedback from the HR community has been mixed: some see it as a powerful way to ensure every applicant gets a fair shot, especially in high-volume pipelines where most never reach a live interviewer. Others caution that it risks feeling impersonal, potentially eroding candidate trust. From our view, it’s a thoughtfully executed tool that, when implemented with transparency and human follow-up, could meaningfully improve both speed and fairness in early-stage hiring.

Their use of AI is also generative. For example, the bot can produce a draft of a follow-up email after an interview or another hiring step. You can just tweak the email and hit send, or automate it completely for other steps.

While there are some ‘nice-to-haves’ that the tool may be lacking (as explained in the cons section of this review), Humanly is worth looking into when it comes to AI recruiting tools. If you're a mid-market company looking to add a chatbot, text recruiting, or AI capabilities to your talent acquisition tech stack, do check them out.

World Flight Services, Mossadams, Microsoft, The Key, Fazoli’s

Humanly’s pricing is not disclosed upfront. You may contact their Sales team for a price quote.

The most recent addition to Humanly’s hiring suite is their interview intelligence module. This is the part where the AI co-pilot can join live interviews and take notes. One cool recent feature is how the bot can do a pre-screening chat interview, and then hand off the candidate to a human when it’s time for the live conversation, while keeping the data of every interaction.

Recently, we also got to see an example of the interview summary that the bot generates (and send via email) and it’s one of the best examples of interview intelligence we’ve seen.

After nearly 2 years of closely watching Workable, we can confidently say that it’s a powerful platform that has evolved significantly over its decade in the recruitment tech market. With over 30,000 customers, Workable has solidified its reputation as one of the top AI-driven recruiting tools, thanks to its advanced automation workflows and a growing list of integrations.

Many offer AI-powered job description features, but none have surpassed what we’ve seen in Workable. It doesn’t just stop at crafting first drafts of job postings based on the role title and requirements. It also allows users to adjust the tone (formal, friendly, or engaging), revert to previous versions, or even regenerate specific sentences to suit particular needs.

Another feature that positions Workable a step ahead of platforms like Lever or JazzHR is the addition of a Salary Estimator. In our test, this provided us with a competitive pay range for attracting top talent.

Workable’s AI-Recruiter tool for passive candidate sourcing, while not as comprehensive as some dedicated sourcing platforms we know, like Gem or Fetcher, is sufficient for SMBs. During our Standard Plan trial, we received 75 profile views, which allowed us to preview candidates and see why the system matched them to our job postings— all without relying on external apps (read: additional fees).

We were equally impressed with the AI Screening Assistant. It provided both profile scores and a detailed summary of how well each candidate matched our job’s requirements, which made the whole screening process labor-saving.

It was also convenient to have everything under one roof with an AI video interview tool in-house. However, it’s worth noting that this feature, along with transcription capabilities (via third-party tools like Supernormal or BrightHire), comes at an additional cost.

On the pricing front, Workable starts at $299 per month, which is steeper than competitors like Manatal ($15 per month) or Wellfound (free). This higher price point reflects its robust feature set. Still, we can see how budget-conscious teams might find this a bit much.

Workable is also geared towards in-house recruiting, so we wouldn’t recommend it if you're part of a staffing agency. And for those who focus heavily on chatbot-driven candidate screening and communication, you might want to look elsewhere, such as Humanly or Paradox, which excel in that area.

30,000+ companies, including Cytora, Karo Healthcare, and Frosch.

Workable has two plans: Standard ($299/month), and Premier ($599/month). Premium add-ons, such as Texting, Video Interviews, and Assessments, start at $59/month. A free trial is available, and discounts apply when bundling Recruiting and HR products.

Recooty’s AI recruiting features offer a promising boost to its lightweight ATS, adding smart functions to a pretty simple tool. We checked out these features in a recent product trial and found a combination of handy automation, good time-saving options, and a few areas that still need to catch up with more advanced competitors.

One of the first AI features we explored was the job description generator. It’s an easy-to-use tool that quickly produces functional templates. For small teams or first-time recruiters, this can be a real time-saver. To be fair, though, Recooty doesn’t let you adjust the tone or customize benefits based on location the way some other vendors like Workable do, meaning some manual editing is still required.

Recooty’s AI scoring is where the tool really shines. As applications start coming in, you can filter candidates based on AI match scores, which compare resumes against the job description. During our test run, this feature allowed us to focus on the most relevant applicants quickly. Plus, each candidate profile has an AI-generated summary that highlights key skills, experience, and education—another factor to speed up the applicant screening process.

We also appreciated how these scores fit into the candidate pipeline. For example, you can apply filters to shortlist only those within a specific AI score range or by status (like Interview Round or Shortlisted). This mix of automation and user control is well thought out for an SMB-friendly ATS.

While not strictly “AI,” Recooty's workflow automation includes email scheduling options that react to candidate status changes, such as interview invites or rejections. You can set these with customizable delays (anywhere from 30 minutes to 2 days), a simple but smart layer that improves the candidate experience and boosts recruiter efficiency!

That said, Recooty’s AI toolkit generally feels somewhat basic. For teams needing deep AI customization, predictive hiring analytics, or an applicant pre-screening agent, Recooty isn’t quite there yet.

We also noticed that some standard ATS features are still being developed, including mobile access, a Chrome sourcing extension, and employee referral programs.

15,000+ companies, including Barnhart Group, Blue Arrow, and Pani.

Recooty offers a 15-day free trial and three paid annual plans starting at $79 per month.

Puck takes a unique approach to recruiting by using audio across candidate attraction and screening. The process can start with employer-branding content: employees participate in recorded conversations that Puck's team turns into polished podcasts and short-form social clips in roughly 2 business days. Those podcasts can be mapped to specific roles, departments, and locations on the career site, allowing employers to tailor their messaging to different openings.

Once candidates apply, Applicant Match can help recruiters prioritize who moves into screening. The platform generates evaluation criteria from job descriptions and ranks inbound applicants against them, which can be useful for teams dealing with large applicant pools. From there, SMS invitations from Puck’s AI Recruiter lead candidates directly into a short AI phone interview without requiring scheduling, a video call, or a camera.

We see the strongest use case in hourly and in-person roles. The vendor specifically designed their phone-based workflow around candidate populations where fraud tends to be lower, and the economic incentive for candidate misrepresentation is limited. Removing scheduling and camera requirements can also make interviews easier for candidates to complete. The trade-off is that audio-only screening may provide less verification for high-skilled or fraud-sensitive roles (a video platform could be a better choice for those).

We also like that, after the interview, Puck’s AI Recruiter scores candidates against your set criteria and provides reasoning rather than just a single overall score. You'll also receive recordings and summaries and, importantly, can override an AI grade. The vendor says those overrides create a feedback loop that helps their system develop a more company-specific scoring approach. We like the human-in-the-loop design, although we wish the vendor provided more detail about how that learning process is managed and monitored.

A few other things to keep in mind about this AI recruiting tool: First, Puck’s ATS cannot replace dedicated systems like Workable or Greenhouse due to its lightweight design. Second, native ATS integrations are restricted to Greenhouse, Lever, Ashby, iCIMS, and Pinpoint. Finally, administrative functionality remains desktop-only today, with mobile access still on the roadmap.

SKIMS, Lyft, Armani, Welch's, Avalara

Puck offers 4 pricing tiers:

• Starter: $300/month ($3,600/year) for small teams without an ATS connection.
• Standard: $600/month ($7,200/year) for recruiting teams with an existing ATS; this is their most common tier.
• Pro: $1,000/month ($12,000/year) for higher-volume recruiting.
• Enterprise: Custom pricing.

Paradox relies on a conversational AI engine called Olivia, which acts as a mediator between recruiters and candidates for passing relevant information, taking requests, and answering questions. While we don’t think it makes all the conversations feel just like humans talking to humans, it does a great job of making the interactions human-like enough.

Our first impression of Paradox's screening capabilities was impressive. The platform's ability to advertise job posts through physical billboards, flyers, and social media, coupled with Olivia's round-the-clock availability for welcoming and screening applicants, can be a game changer for quickly filling multiple positions.

As interacting with AI has become increasingly comfortable, especially when the conversation holds meaning in today’s world, Paradox's trained AI— Olivia, has done a great job engaging with candidates on behalf of recruiters. Olivia can text candidates, share relevant job descriptions, collect candidate information, schedule interviews, and operate outside recruiters' working hours.

However, like any other AI recruitment tool, it may not handle inquiries beyond its programmed knowledge. Tasks such as assessing qualifications or verifying email addresses are better suited for experienced recruiters.

Unilever, McDonald’s, Amazon, 3M, CVS Health, Nestlé, Lowe’s

Pricing is not disclosed upfront. You will have to schedule a demo to get custom pricing.

Manatal goes above and beyond the typical features expected from a budget-friendly ATS by incorporating AI-powered actions, such as candidate filtering and recommendations. This makes it a standout option, particularly for SMBs looking to streamline their hiring process.

One of the first advantages we noticed of Manatal is its affordability, with pricing plans starting at just 15 USD per month. The platform also checked the user-friendly UI box for featuring drag-and-drop-enabled pipelines.

As we tested the tool, we found the AI-based recommendations feature to be an excellent way to automate prescreening. This feature scans JDs and matches them with the most suitable candidates from the user’s talent pool.

Since coming across the tool and speaking to their team on several occasions, we’ve always appreciated their customer service focus. They offer 24/5 live chat, email support, documentation, and free onboarding and training.

Among Manatal’s client list, you’ll find names like Unilever, Coca-Cola, Panasonic, Ogilvy, and Toyota.

Manatal offers four plans with options for monthly and annual billing. When billed annually, they cost as below:

• Professional Plan: $15/user/month, includes up to 15 jobs per account and 10,000 candidates. Unlimited guests can be added.
• Enterprise Plan: $35/user/month, provides unlimited jobs, candidates, and guests.
• Enterprise Plus: $55/user/month and includes all Enterprise features, user groups, open API access, SSO log-in, priority support, and access to Beta features.
• ‍Custom: Custom pricing. Tailored for larger businesses seeking advanced functionalities and support.

It’d be a lie if we said we didn’t doubt Hirefly’s claim of eliminating the need for manual sourcing and reducing resume review time by 80%. But we’re happy to report that throughout our tech tests, the vendor’s Autopilot for outbound sourcing and FastTrack for inbound application review just showed they both have a knack for taking the legwork out of recruiting.

Our experience with Autopilot was smooth, with minimal setup and the AI delivering interview-ready candidates within a matter of days. By simply inputting a job description and three examples of ideal LinkedIn profiles, we received a list of the five most promising candidates that the AI had sourced and reached out to. Plus, it learned from our feedback (whom we rejected/approved, our reason notes) to improve the next batch it sent.

With the ability to get our hands on top candidates this fast with no manual sourcing required, we can imagine that those without in-house recruiters and overloaded talent teams who simply don’t have time for outbound prospecting will find Autopilot particularly valuable.

That said, because this outbound sourcing tool relies on LinkedIn’s dataset, it’s less effective with roles that aren’t well-represented there. For example, if you’re hiring for blue-collar roles like warehouse workers or local retail managers, you're better off with a job board like BlueCrew or Snagajob.

Another tool we assessed was FastTrack, which caters to inbound candidate management. Compared to traditional ATS filtering, this tool felt a lot easier to work with. When we ran it through a test batch of applicants, the AI did a solid job correctly classifying candidates into Great Fit, Borderline, and Poor Fit categories. Similar to the algorithms behind Autopilot, FastTrack’s sorting mechanism also learns from recruiter feedback, meaning that over time, it gets better at ranking candidates for you.

We can appreciate Hirefly’s integrations, but only from a distance. While the AI recruitment platform integrates with major ATS providers, there’s no open API. Custom integrations are possible, but as the vendor honestly shared with us, only for deals large enough to justify them.

Due to this limitation, if you’re using a niche ATS that Hirefly doesn’t support, you may find the adoption challenging. What if you don’t plan to use any ATS at all? We don’t think it makes much sense to opt for FastTrack, but Autopilot should still be worth considering especially if you’re after outbound sourcing.

JLL, Lyft, Indeed, and ZipRecruiter are some of the companies that use Hirefly.

Hirefly offers two pricing structures for their sourcing tools: Autopilot, which starts at $2,000 monthly per job slot, and FastTrack, which ranges from $50 to $100 monthly per job slot, depending on the chosen package size.

What makes Pinpoint stand out isn't the breadth of its AI feature set but the deliberate restraint in how those features are designed. This is a platform that clearly thought hard about where AI should and shouldn't make decisions, and that philosophy shows up everywhere.

Start with the AI Candidate Match Score. In our testing, before a candidate was evaluated, we were presented with the scoring criteria and given the option to review, edit, or refine them entirely. Once we approved the criteria, candidates were scored consistently across the full applicant pool. The scores themselves come with plain-language explanations of why a candidate ranked where they did. For a TA team that needs to explain decisions to a hiring manager or, more critically, to a compliance officer, that explainability is worth a lot. The system is also testable before you apply it: you can run a sample candidate through the criteria to validate outputs before scoring your live pipeline. 

The AI Candidate Filters are where we saw the most practical time savings. We built a custom filter targeting a specific combination of technical skills and industry experience, and within seconds, Pinpoint had parsed resumes, application forms, and cover letters to populate results across our test candidate pool. The ability to pull from multiple source documents simultaneously gave us a more complete picture of each applicant. The outputs are configurable too: scores, yes/no flags, or summaries, depending on what your team actually needs downstream.

We were also impressed by AI Resume Redaction, a feature that strips demographic identifiers from applications before they are reviewed. It's not glamorous, but it's exactly the kind of structural intervention that makes DEI commitments operational rather than aspirational. 

The AI Hiring Copilot is an agentic assistant embedded in every candidate record, and it behaves exactly as you'd want an AI agent to: it retrieves context, proposes a next step, and then waits for human approval before doing anything. Recruiters can save custom prompts for repeated queries,which can be pretty useful during implementation when teams are standardizing how they review candidates. Currently the Copilot is scoped to the candidate you're actively reviewing while cross-candidate comparisons are on the near-term roadmap as Pinpoint expands its context window from individual records to jobs and beyond. 

The AI Notetaker and AI One-Way Video Interview scoring features are now live and according to our tests, they are a great help for those often in high-volume hiring contexts where synchronous interviews create scheduling bottlenecks.

To be clear, Pinpoint does serve some staffing and agency customers, but the platform's design assumptions are most aligned with internal TA functions. If your team is dependent heavily on multi-channel outbound sourcing, you'll find the platform's focus leaves some gaps.

300+ companies, including CoinShares, Pathways Global, Grant Thornton, Icario, and Pivot Energy.

Pinpoint's annual billing plans are: Growth ($345/month) and Enterprise ($1,200/month). Startups with <50 employees may qualify for their startup program.

We sat through a full demo with the Pin team, and Pin earns its place here by handling the whole sourcing motion in one pass. You describe a role in plain language, and agents research the company, search a database Pin says tops 800 million profiles, and return a ranked shortlist with per-candidate fit scores and salary estimates. The filters held up when we pushed on specifics, down to department-level tenure, startup experience, and the investors behind a candidate's past roles.

What sets Pin apart came through in our own calls with HR tech buyers. An enterprise talent acquisition leader who had used SeekOut called it only adequate and described wanting precisely what Pin does: drop a job description in, get aligned profiles back. Where SourceWhale concentrates on outreach sequencing and leaves sourcing to your pipeline, and Juicebox caps searches tightly, Pin runs sourcing, fit scoring, and multichannel outreach together, then hands recruiters a daily task list to work.

Pin fits how we at SelectSoftware Reviews see AI in hiring: a multiplier for recruiters, not a replacement, since a human approves or declines every match agents propose. Pin is outbound-focused and does not parse inbound resumes, so one staffing-agency owner we spoke with pairs it with a separate applicant tracking system. Commercially young since a late-2024 launch, Pin also meters contact reveals by credit, which heavy-sourcing teams should price first.

Pin has not publicly disclosed its customer count or named clients.

Pin publishes four tiers, with annual billing as the default.

• Free: $0 for 1 seat with capped weekly contacts, one job, and email-only outreach.
• Solo: $99 per month billed annually for 1 seat, 500 monthly contacts, and multichannel outreach.
• Professional: $135 per user per month billed annually ($179 monthly) for unlimited seats, 1,000 contacts per user, and standard ATS sync.
• Business: custom pricing for higher contact volumes and unlimited credits.

A 14-day trial is available, and contact reveals are metered by credit on every plan.

Juicebox AI recruiting software’s focus is clearly on sourcing and candidate discovery. During our testing, we spent the most time with its sourcing agents and the Find Similar Profiles feature, both of which are central to the platform's approach to talent discovery. The sourcing agents surfaced candidates alongside contextual explanations for why they matched a search, while Find Similar Profiles allowed us to start with two or three strong candidates and generate a much larger list of profiles with similar characteristics. Combined with natural-language search, this resulted in a sourcing workflow that generally required less manual refinement than traditional keyword-based approaches.

Beyond sourcing, we found the auto-drafted email replies more practical than we initially expected. The feature used AI-generated outreach assistance to draft candidate replies, which the team could then review and send. While most drafts still benefited from recruiter review, they reduced some of the repetitive communication involved in outreach. Profile citations served a similar purpose by showing which parts of a candidate's background influenced a recommendation. We appreciated having that additional context rather than relying solely on AI-generated rankings.

From a usability perspective, Juicebox was relatively easy to navigate. Searches were completed quickly during our testing, the interface felt uncluttered, and core workflows such as launching outreach sequences required little setup. Feedback from verified users echoed many of our observations, particularly around the platform's speed and flexibility when building candidate pipelines.

That said, Juicebox remains a specialized tool. It does not include interview scheduling, recruiting chatbots, or job description generation, which may limit its appeal to teams seeking broader recruiting automation. Platforms such as Workable cover more of the recruiting lifecycle, whereas Juicebox focuses primarily on sourcing and outbound engagement.

We think Juicebox is most compelling for recruiting teams that spend significant time identifying and engaging candidates. Organizations looking for a complete recruiting platform will likely need additional tools, but teams focused on sourcing may find its search, matching, and outreach capabilities worth considering.

5k+ organizations, including Ramp, Samsara, Cursor, Notion, and Lovable.

Juicebox offers four plans: a free tier, Starter at $119/seat/month ($99 billed annually), Growth at $199/seat/month ($179 billed annually), and a custom-priced Business plan, with an optional AI Agents add-on at $199/agent/month.

Braintrust’s AI recruiter, Braintrust Air, impressed us during our demo and personal testing by delivering one of the most realistic AI-led interview experiences we’ve seen. When we tested it ourselves (albeit outside our professional domain), we were struck by how naturally the AI interviewer—named AIR—held the conversation, doubling back with clarifying questions and even acknowledging our attempts to adjust equipment mid-interview.

Unlike static video interview platforms, Braintrust Air actively engages with candidates. In our experience, it quickly identified knowledge gaps, provided precise feedback, and produced a detailed interview scorecard outlining strengths, weaknesses, and suggested improvements. The AI interviewer was tough but fair, pointing out well-founded observations about the conversation in an easy manner for a recruiter to grasp and assess for next steps, if any.

The recruiter part is where Braintrust, already quite impressive in terms of AI interviews, is bound to grow more in the coming years. The dashboard is very straightforward, allowing hiring teams to see interview recordings, AI-generated scores, and scorecards. Notes can be added collaboratively, and recruiters can move candidates through hiring stages directly in the platform. While Braintrust can function as a basic ATS for smaller teams with simple hiring workflows, it truly shines when integrated with systems like Greenhouse or Workday for enterprise users. This hybrid approach enables teams to integrate the AI directly into their existing hiring stacks without disrupting more complex processes.

We appreciated the transparency around roadmap developments. Features such as recruiter intro videos, company-level culture questions, and expanded language support demonstrate a commitment to evolving the platform in response to customer needs.

However, Braintrust’s core strength is squarely in interviewing and initial screening. The product doesn’t offer sourcing capabilities or advanced CRM-like candidate nurturing on its own. While recruiters can revisit past candidates stored in the platform, automated re-engagement workflows require external systems or integrations.

Braintrust’s notable customers include NASA, Nike, Nestle, Guardian, Google, Wayfair, and Goldman Sachs, among others.

Braintrust’s pricing is custom-based on company needs. However, they offer a try-before-you-buy model, which sometimes resulted in hires directly from the trial pool. For the most accurate quote, visit their pricing page or contact their sales team.

HireVue is an AI-driven recruiting platform that automates workflows. They have video interviewing, assessments, scheduling, and text message recruiting solutions. Its technology is designed to reduce human bias and increase diversity.

Our favorite feature of HireVue is its Virtual Hiring Assistant. It efficiently screens candidates, guides them to relevant job openings, schedules interviews, manages events, and coordinates with candidates on behalf of recruiters.

While we think the mix of AI and human contact balances well, it is possible that some candidates may feel discouraged from interacting with a machine. To account for this, the platform keeps recruiters looped into the process with constant updates, which speaks to a design philosophy that we’ve always found remarkable with this company.

In general, HireVue is a powerful tool that will likely be too expensive for smaller teams, but we appreciate their upfront pricing. They offer two plans, the less expensive of which starts at $35k/month, and according to users we’ve interviewed, the platform is a solid investment for teams of roughly 2,500 or more.

This tool integrates well with many ATSs, but the same cannot be said for HRIS tools. This can be a drawback for businesses looking to sync their data across their HR tools.

Amazon, Unilever, Vodafone, Beacon Health System, SmartLynx Airlines.

HireVue provides two pricing plans:

• Essential plan starts at $35,000 per month for teams with 2,500-7,500 employees. It includes live and on-demand interviewing features, custom branding, and single language configuration.‍
• Enterprise plan has custom pricing for teams with more than 7,500 employees. It has all the features of the Essentials plan, plus scheduling, a chatbot, pre-built ATS integrations, and analytics, among others. Custom quotes can be arranged by their sales team.

What makes Spott relevant for this category is the architecture. Every candidate record, job, and conversation is semantically indexed from the ground up. Spott is explicit that it's not a GPT wrapper, and in our demo that showed.

The AI matching was the standout. You describe a role in natural language, and Spott ranks your entire database against it, explaining in plain language why each candidate scored high or low. That's meaningfully different from Bullhorn or Vincere, where AI features sit on top of keyword-indexed data. A career-switcher moving from sales into customer success would actually surface for CS roles here, because the matching reads experience rather than job titles. Just as important, the explanations make the AI auditable. Recruiters can challenge a ranking instead of taking a black-box score on faith.

The AI also does a lot of the busywork around the search. The built-in notetaker transcribes calls and meetings, then proposes specific profile updates. Nothing changes until a recruiter accepts it, which is the right amount of human-in-the-loop for candidate data. Structured attribute columns fill themselves from incoming information. Candidate presentations for clients are generated in minutes from CVs, interview notes and the job description. For outreach, Spott drafts personalized messages using everything it knows about a candidate. That includes LinkedIn messages, which recruiters then send from LinkedIn itself, in line with LinkedIn's updated terms.

Two things matter for AI buyers beyond the features themselves. First, AI usage is included in every plan, so there are no token bills or AI add-ons, unlike tools that meter their copilots. Second, Spott states that customer data is never used to train models, and it's ISO 27001 certified with EU hosting by default. Add open API and MCP support, and agencies can connect their own AI tools and automations to the same data layer.

Spott has been commercially live for about a year and ships new features almost every Friday. The main gap for staffing firms however is back office. A contract and temp module with timesheets, payroll and invoicing isn't live yet. Still early, but architecturally, this is what AI-native recruiting software looks like.

Hundreds of recruiting agencies across Europe, the US and APAC, including Cornerstone Global Partners, HW Anderson, Alexander Lyons Solutions, Macmillan Davies and KennedyFitch.

Spott offers 3 plans:

• Core: $139 per user per month, billed annually. Includes the AI-native ATS/CRM, AI notetaker, AI search and matching, a unified inbox (email, SMS, WhatsApp), and a CV reformatter with shortlists.
• Pro: $199 per user per month, billed annually. Adds automations, a marketing suite, multi-channel sequences and data enrichment.
• Enterprise: Custom pricing. Adds custom T&Cs and DPA, advanced roles and permissions, multi-office management, and a strategic point of contact.

Prospective customers can try Spott free through a guided onboarding.

Spott started as a single-purpose AI report writer for executive search firms and grew into a full ATS and CRM in about two years. Its biggest shift was rebuilding the data layer around a vectorized database, which enabled semantic search and explainable matching. From there, its AI expanded in stages:

• Early: Generating candidate presentations.
• Next: Suggesting field updates, ranking inbound applicants and filling structured attributes.
• Most recent: Drafting personalised outreach, including LinkedIn messages.

Recent releases also added SMS as a channel and an upgraded mobile app with access to AI transcripts, notes and tasks.

Recruit CRM combines ATS and recruiting CRM systems, now powered with embedded AI features to help simplify the work further for its target customers — small and midmarket staffing agencies.

In testing, we started by uploading a stack of candidate resumes (a mix of PDF and Word), and the AI Resume Parser structured the data quickly and accurately. From there, we used the Candidate Summary Generator to prep short bios for each candidate. A few of the results were too generic at first, but with custom prompts (“make it client-facing” or “summarize key tech stack experience”), the output improved dramatically.

The Job-Candidate Matching tool stood out for its simplicity. Sliders let us tweak importance levels for fields like education or job title, and the results came back quickly. In one use case, the top five AI-ranked candidates were all legitimately strong fits. That said, we wouldn’t recommend skipping manual review. At the end of the day, the AI should help you narrow the field, not close the deal.

Email automation performed equally well in our testing. We built a five-step campaign using voice input (the system transcribes voice to text) and scheduled it to go out over a week. The UI made tracking opens and replies easy, and we appreciated being able to regenerate steps or edit specific emails without restarting the whole sequence. Again, just know that the entry-level plan only allows one sequence.

We also tried out the Call Transcript Generator by enabling recording during a candidate interview. The AI pulled action items and key takeaways, such as “follow up about relocation flexibility” and “send updated job spec.” It wasn’t perfect, but it was useful and faster than writing up notes manually.

However, most of these features are locked behind higher-tier plans, with only the Business and Enterprise tiers offering full candidate matching (up to 50 matches) and multi-step email sequences. If you’re on the Free or Pro plan, you’re capped at two AI matches per job and only one sequence, which may not be enough to justify investing time in setup or training.

Additionally, it’s important to know that Recruit CRM is clearly built with staffing agencies in mind. That means features like third-party candidate submissions, CRM deal tracking, and a sales pipeline are central to the design; thus, corporate recruiters may find themselves not getting much out of these parts of the system.

And while the AI-Assist tool has a generous monthly token cap (2 million per user), frequent users could hit that ceiling, particularly when combining resume parsing, email generation, and transcription across large candidate volumes. Even if you’re on a higher-tier plan, Recruit CRM limits its call transcription to audio files under 25MB (about 1-1.5 hours) per call, which can be a restriction for more extended interviews. Finally, during peak hours, we noticed occasional slowdowns in AI processing time, especially when generating multiple outputs back-to-back.

1,200+ companies, including Avizio, Zeren, and Cooper Coleman.

Recruit CRM's annual billing offers plans from $40 to $125 per user per month, with add-ons beginning at $12 monthly. A free trial is also available.

hireEZ has received positive ratings from our editorial team for its no-nonsense automation features. Built for mid-sized and large businesses, the platform’s primary focus is outbound recruiting. It has leveraged AI to roll out some very good sourcing, engagement modules, and analytics features. We like the simple UI – the features are arranged logically, and the workflows are intuitive. hireEZ even offers a dedicated account manager for personal support, but we haven’t encountered much of an issue that needs their assistance.

Our favorite feature of hireEZ is its AI-powered candidate recommendation tool. It works just like a personal sourcing assistant who reports every day via email to share the best candidates they’ve identified.

Reports are mostly favorable from users who have deployed the automated email sequences. They often emphasize time-saving and increased efficiency when tracking a candidate’s performance and progress.

An up-and-coming feature to watch for is the GPT3-backed AI applied to the automated emails.

hireEZ does have some drawbacks you should watch out for. Some users we talked to said the candidate data was occasionally inaccurate. Multiple reports suggest the platform doesn’t work well with LinkedIn.

Wayfair, Intel, Continental, Nike, and Dayforce.

hireEZ's pricing varies depending on your needs and employee count. Since all their pricing is custom, contacting them for an exact quote is best.

Wellfound (formerly AngelList Talent) is not the only AI sourcing tool in the market, yet what this software does so well that makes it stand out from many others we’ve tested is the vibrant community of tech professionals it hosts. Over ten million job seekers have built resumes on the platform and shared not just their work experience but also what they are looking for in their next job—something you won’t find in even good brands like SeekOut or LinkedIn.

If you’ve used Wellfound’s free ATS like we have, you know it's great, but it does have limits, with the talent reach confined to just its talent community. However, the pool becomes much bigger as you switch to the RecruiterCloud Autopilot module. Besides the in-house community, Wellfound will tap into its partner network of 500M+ profiles to find you the right matches. What we love about this module is that it’s not all left to AI—there's a real human touch involved to ensure that the 5-10 top candidates you get every week are the best fit for your needs.

If you prefer keeping everything in-house, RecruiterCloud Self-service is the way to go. As its name suggests, this module provides search engines and outreach to manage your sourcing and screenings.

A word to the wise, though: Wellfound is super focused on tech-related roles in product, engineering, or growth, so if those aren't your main hiring needs, don’t go for this tool.

We’d offer the same advice to those seeking an all-in-one recruitment solution that can also handle some parts of HR: look for enterprise-centered vendors like VidCruiter or BambooHR instead. Despite being stellar for what it does—connecting you with top-notch tech talent—Wellfound has no features like native onboarding, employee experience enhancements, or performance tracking. Plus, its integration options are limited to a few major ATS.

25,000+ companies, including Monograph, Affinity, and Mayfair.

Wellfound’s ATS is free, while its paid plans start at $149 per month. Add-ons and custom packages are available upon request.

Findem has evolved from a sourcing tool into a talent intelligence platform with autonomous hiring capabilities. The 2025-2026 acquisitions of Getro and Glider AI now let it deliver candidates who are sourced, assessed, and verified before reaching hiring managers.

The core innovation is attribute-based search. In our demo, we tested searches impossible elsewhere: "engineers who scaled products from Series A to IPO" and "leaders who grew revenue in declining markets." The system parsed these and returned ranked candidates with an explainable scorecard showing why each matched. Where a typical LinkedIn profile contains about 4KB of data, Findem's 3D profiles average 50MB — layering tenure timelines against company headcount and financial growth to verify claims like "drove 4x growth."

The Copilot takes a job description and generates warm candidates in one click, ranking them by source warmth: inbound applicants first, then past ATS candidates, internal employees, CRM nurtures, alumni connections, and finally cold external talent. We appreciated the real-time diversity analytics; toggling "must-have verified code contributions" immediately showed women candidates dropping to 14%, enabling honest tradeoff conversations with hiring managers.

That said, the tool is definitely not for everyone. Findem's sweet spot is 1,000-10,000 employee companies hiring for corporate roles. It doesn't serve hourly positions where candidates lack online presence. Pricing runs ~$6,000/user/year with minimum contracts, and the platform requires training investment to move recruiters past keyword-search habits.

Findem serves mid-to-large organizations in tech, life sciences, and CPG, with strong traction among North American hyper-growth companies. Notable customer names include Adobe, Box, Medallia, Nutanix, RingCentral, Booster, and Plume.

Findem does not publicly disclose pricing. Industry estimates suggest ~$6,000 per user per year, customized by team size and integration complexity. The company now offers outcome-based pricing tied to hires for agentic capabilities. Minimum contract required; 3-month engagements available for sourcing-only.

• Glider AI Acquisition (March 2026): Adding skills validation, AI interviews, and identity verification for end-to-end hiring.
• Getro Acquisition (December 2025): Launched Intelligent Job Post — autonomous AI agents that source from job listings.
• Series C Funding (October 2025): Raised $51M, bringing total funding to $105M.
• Next-Gen Talent CRM (May 2025): Dynamic Talent Pools and automated attribution; 41% faster time to first response.
• Copilot for Sourcing (2024): Natural language search capabilities.

We evaluated Jobin.cloud’s AI functionality in live testing across multiple roles, including software engineers and healthcare professionals. In each case, we began by pasting in a raw job description. The system parsed the text, expanded it with semantically similar terms (e.g., “CI/CD” inferred from “DevOps”), and returned a list of matching profiles from LinkedIn and external databases.

What stood out most was the scoring report. The AI recruiting system doesn’t just say a candidate “matches” but also explains how. Skills and qualifications are marked as proven (explicit and demonstrated), mentioned, inferred (via context), or missing. We prefer this level of transparency to what we’ve seen in Fetcher, which provides candidate suggestions, but its logic is less exposed to the user.

We’re also a big fan of Jobin.cloud’s free plan, which is one of the most generous we’ve encountered. It includes auto-import from LinkedIn, up to 10,000 stored contacts, five enrichment credits, and limited outreach (15 daily messages and 30 AI prompts). These features alone could be enough if you’re a solo recruiter or a lean hiring team to run serious sourcing workflows, we’d imagine. For those exploring AI recruiting tools for the first time, it offers a low-risk way to get started, something that Fetcher and Findem don’t match with their paid-only access.

However, the design of this AI recruiting platform lags behind most competitors. It packs many features into a rather dense user interface, which may take some time to grasp everything fully. Compared to hireEZ’s clear layout or Fetcher’s guided workflows, Jobin.cloud does demand more effort to master.

Another gap is integrations. While we appreciate the vendor’s progress in rolling out support for Make.com and Zapier, we would have preferred one-click connections to common ATS platforms and recruiting CRMs. That kind of plug-and-play integration feels standard among AI recruiting tools and offers a smoother experience for teams already using other systems.

Jobin.cloud reports more than 5,000 users globally.

Jobin.cloud offers modular pricing, starting at €7.99 per month for LinkedIn Automation. Key additional modules include Contact Finder and People Finder, each priced at €16.99 per month, and ChatGPT messaging support for €3.50 per month (with a limit of 1,300 queries). A free plan with basic features and limited outreach is also available.

Eightfold’s AI technology automates several chunks of the hiring process and ensures that only the most suitable candidates get through to the interview stage. Recruiters get every piece of information they need at their fingertips about previous candidates, employees, and contingent workers – helping them streamline workflows and processes across the entire talent ecosystem.

Eightfold’s deep learning capability also identifies the skills of job applicants with a detailed mapping of competencies. It takes the guesswork out of evaluating a candidate's skills by identifying Validated Skills, Likely Skills, Skills to be Validated, and Missing Skills.

The platform also includes a neat scheduler that integrates with corporate calendars to automate interview scheduling. Moreover, it helps you manage interviews with multiple people and reschedule or cancel them as needed.

Eightfold’s client list includes prominent enterprises like TATA Communications, LG, Vodafone, Bayer, Chevron, Morgan Stanley, and more.

Eightfold's pricing plans are not disclosed on its website. Contact their Sales team for a custom quote.