Juicebox is an AI recruiting platform (PeopleGPT) that helps recruiters search across large candidate datasets, manage candidate relationships in a CRM, and run automated outreach and autonomous AI Agents to build pipeline faster.
Juicebox (PeopleGPT) is an AI recruiting platform built for recruiters to source, understand, and engage hard-to-find talent faster. The product combines AI-led candidate search (PeopleGPT), a recruiting CRM, outbound outreach/sequencing, and autonomous AI Agents that can run sourcing and engagement workflows end-to-end. Juicebox aggregates and enriches candidate data across 30+ data sources to create high-signal candidate profiles and enable natural-language talent discovery. The platform also provides real-time talent market insights to help teams align with hiring managers and adapt to market changes using data from Juicebox. The company positions its approach as “Humans + Agents,” where recruiters stay focused on high-value conversations while AI Agents search through profiles on autopilot, learn from recruiter feedback, screen candidates, and automate personalized outreach. Juicebox supports collaboration for teams and integrates with common ATS and CRM tools to keep recruiting workflows connected. Juicebox states it has raised venture funding (including a $36M round led by Sequoia Capital) and highlights broad customer adoption (thousands of companies / customers and “trusted by” teams, recruiters, and hiring managers).
HC score
verified business cases
Integrations to sync candidates with ATS/CRM systems with read/write sync, project-based search from imported jobs, and smart deduplication; supports export to CSV and direct ATS/CRM export.
ATS integration
CRM integration
Read/write sync
Recruiting CRM to centralize candidate profiles you’ve viewed, messaged, or synced from ATS, with notes, tags, and activity history for re-engagement and workflow organization.
Unified profiles
Notes
Tasks
Autonomous AI recruiting agents that run sourcing, screening, and outreach continuously, learn from recruiter feedback, and keep pipelines fresh with ongoing discovery and reporting.
Autonomous search
Candidate screening
Automated outreach
Automated, personalized outbound email sequencing with tracking and analytics to improve engagement and reply rates, including mailbox connections and reply detection.
Email sequencing
AI templates
Email personalization
AI-powered candidate search engine with natural-language queries, high-signal filters, enriched profiles, and ability to evaluate/stack-rank large sets of profiles using data from 30+ sources.
Natural-language search
AI search-builder
AI filters
Co-Founder
After a decade-long search for alternatives, I finally found Juicebox. They offer a wide open database where I can easily find new profiles, even after exhausting legacy tools with the same search criteria.
Talent Acquisition
All of our agents are being used today. They save us 2–3 hours a week per recruiter. That’s time we can spend on strategy, calibration, or closing.
Tavrn
Tavrn’s founder needed to quickly build sales capacity. The existing team lacked enough coverage to meet demand. The urgency required filling roles fast without compromising hiring momentum. Tavrn moved quickly to run a focused hiring effort for sales roles. The founder prioritized accelerating recruiting to expand capacity. The process centered on hiring account executives within a tight window. The effort resulted in multiple hires in a short period. Tavrn hired 4 account executives in 2 weeks. This rapid hiring increased sales capacity within the desired timeframe.
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Vapi
Vapi needed to hire founding leadership while controlling hiring costs. They faced pressure to secure the right leaders without overspending. Their existing approach risked higher-than-necessary expenses. Vapi implemented an approach designed to keep hiring costs down while still hiring founding leadership. They focused on cost avoidance while moving the leadership hiring process forward. This helped them pursue key hires with tighter cost control. Vapi achieved substantial cost avoidance during founding leadership hiring. They saved $100k+ on founding leadership hires. This reduced overall hiring spend while still supporting leadership hiring needs.
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Project Details
Skylight
Skylight needed to drastically cut the time spent sourcing candidates. Their existing approach required too much manual effort and slowed down hiring. The team faced pressure to improve efficiency without compromising candidate outreach. Skylight implemented a change to their sourcing process. They adjusted how they identified and engaged candidates to reduce manual work. This process update streamlined sourcing activities and removed time-consuming steps. The updated process reduced sourcing effort significantly. Skylight achieved a 90% reduction in sourcing time. This improvement enabled the team to move faster and spend less time on sourcing work.
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Project Details
Binti
Binti needed to consistently close key roles. Their existing approach made it difficult to hire for priority openings reliably. They needed a way to improve outcomes across recent key roles. Binti implemented a more consistent approach to closing priority openings. They focused their efforts on key roles and recent priority hiring needs. This approach was applied across their recent key-role searches. The approach resulted in successfully hiring for most of their recent priority openings. Binti hired 9 of their last 12 key roles. This demonstrated improved consistency in closing key roles.
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Project Details
Monte Carlo
Monte Carlo needed to hire senior engineering talent quickly. The company faced urgency in staffing critical engineering roles. The existing recruiting effort needed to deliver hires on an accelerated timeline. Monte Carlo ran a focused recruiting effort to source and evaluate candidates for senior engineering positions. The approach concentrated on rapidly moving qualified candidates through the process. This implementation aimed to fill the open roles as quickly as possible. The effort resulted in filling two senior engineer roles. The hiring was completed in 3 weeks. Monte Carlo met its immediate staffing needs within the required timeframe.
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Project Details
CoinTracker
CoinTracker needed to reduce the weekly time burden on recruiting workflows. The existing recruiting process required too much ongoing effort. This created a sustained drain on time each week. They implemented recruiting agents to automate parts of the recruiting process. The agents took over specific steps within the workflow. This reduced the amount of manual work required from the team. The change saved significant time in weekly recruiting operations. CoinTracker saved 30 hours per week by automating parts of the process. This reduced the recurring time burden on recruiting workflows.
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Project Details
Merge
Merge needed to hire for critical roles despite limited recruiting capacity. The recruiting team faced constraints that made scaling hiring difficult. They still had to meet urgent staffing needs across key positions. The team implemented an approach designed to fill roles with a lean recruiting team. They focused their recruiting efforts to operate effectively with limited capacity. This approach supported hiring for the required critical roles. As a result, Merge hired for 10+ critical roles. The team achieved this outcome despite constrained recruiting resources. The approach enabled them to meet urgent hiring needs with a lean team.
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Project Details
Starbridge
Starbridge needed to scale quickly with a small team. Existing hiring capacity could not keep pace with growth needs. They faced pressure to increase headcount without expanding the recruiting team. Starbridge built an AI-first recruiting engine to support rapid hiring. The approach combined talent engineering, AI agents, and outbound sourcing. These components were implemented to increase sourcing and recruiting throughput. The initiative resulted in rapid headcount expansion. Starbridge scaled from 20 to 60 employees. This represented 3x headcount growth over the period described.
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Project Details
Full service creative production company helping brands maximise the impact of their marketing content
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Empowering US startups with unrivaled access to global engineering talent, seamless hiring, and improved retention.
Human Cloud Verification ensures that the listed end customer is verified. It's used across kudos, customers, and business cases, and performed by Human Cloud. Think about it like a background check.
An independent global marketing consultancy delivering outsized growth.
Human Cloud Verification ensures that the listed end customer is verified. It's used across kudos, customers, and business cases, and performed by Human Cloud. Think about it like a background check.
