
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.
JuiceboxIntegrations 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

Vivek Punjabi • 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.

Jason Yi • 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.

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.

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.

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.

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.




Performance across Human Cloud, as measured by company interest, kudos, and business case success.


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).
Free: $0 per seat/month (limited free searches). Starter: $119 per seat/month. Growth: $179 per seat/month. Business: Custom. Add-on Juicebox Agents: $300 for 2 agents/month.
The enterprise platform for on-demand tech talent and human + AI orchestration




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