The People Intelligence Platform
Juicebox emphasizes fast, configurable sourcing agents that can run hands-off or with manual checkpoints. Findem is the recommended choice for enterprise teams that need deeper 3D context, six-channel intelligence, and evidence that carries from discovery into evaluation and broader talent decisions.
Juicebox documents a flexible agent model: teams can run sourcing fully hands-off or place manual checkpoints at shortlist or sequencing. Intake adds hiring-conversation capture, live talent-pool calibration, reusable templates, and agent launch from the resulting notes.
Findem is the right choice when autonomy must operate on continuously refreshed context across people, companies, careers, accomplishments, and relationships—and when that evidence must remain useful beyond top-of-funnel execution. Evaluate both approaches against time to a qualified slate, recruiter review effort, hiring-manager acceptance, warm-path contribution, and the decisions the intelligence can support after sourcing.
Why teams choose FindemCompare AI sourcing, agents, network search, warm channels, outreach, evaluation, and broader hiring scope.
Findem
Improves talent decisions from discovery through evaluation by grounding sourcing, executive search, hiring, mobility, and workforce questions in shared context
Juicebox
Connects hiring-manager intake, live talent-pool calibration, prior-hire patterns, feedback, and agent execution across external and ATS-connected sourcing workflows
Findem
Continuously refreshed 3D context across 800M+ people and 100K+ sources, with 300,000+ searchable attributes
Juicebox
Searches 800M+ profiles across 30+ sources and enriches candidate profiles with work, education, social, technical, and contact data
Findem
Turns skills, trajectory, environments, company context, accomplishments, patents, publications, and relationships into structured search criteria
Juicebox
Translates natural-language requests into filters and rankings, with search controls for skills, roles, seniority, companies, tenure, education, and activity
Findem
Connects qualifications with longitudinal career, company, impact, accomplishment, and relationship evidence for explainable prioritization
Juicebox
Ranks profiles against custom criteria, produces match notes and AI summaries, and supports batch evaluation from available profile evidence
Findem
Evaluates external, ATS, CRM, referral, alumni, and internal talent on one contextual foundation
Juicebox
Covers external search, ATS rediscovery, CRM contacts, uploaded professional connections, inferred overlaps, and warm-intro requests
Findem
Combines assistive, agentic, and build-your-own AI with shared 3D context across sourcing, hiring, executive search, and adjacent decisions; control requirements should be defined for each deployed workflow
Juicebox
Agents can run fully hands-off or with manual checkpoints at shortlist or sequencing; Intake captures requirements, calibrates the visible talent pool, and can launch an agent from the notes
Findem
Uses attributes, timing, relationships, and pipeline context to personalize campaigns across cold and warm talent
Juicebox
Supports verified contact data, dynamic multi-step sequences, multiple senders, follow-ups, reply detection, and outreach analytics
Findem
Connects company movement, market context, talent supply, networks, sourcing analytics, and people intelligence to hiring and workforce decisions
Juicebox
Shows pool size, location, experience, sample profiles, and requirement impact during Intake so teams can calibrate the search before agent execution
Findem
Pilot a use case where structured attributes, warm paths, or verified evaluation matter; baseline recruiter effort, slate acceptance, pipeline contribution, and reuse across later decisions before expanding
Juicebox
Test the desired autonomy level, calibration process, checkpoint placement, ATS/CRM handoff, sourcing capacity, and recruiter adoption against the current role-by-role workflow
Findem
Extends shared context through skill assessment, AI screening, AI interviewing, and identity verification for hire-ready decisions
Juicebox
Evaluates and ranks candidate profiles for sourcing; public product materials focus on search, CRM, engagement, and handoff into connected ATS workflows
Findem
Lets teams begin with sourcing, then extend the same intelligence into executive search, assessment, market intelligence, mobility, hiring, and workforce planning
Juicebox
Centers recruiters, sourcers, agencies, hiring managers, and lean teams on context-aware sourcing, market mapping, CRM, outreach, and connected top-of-funnel workflows
| Findem | Juicebox | |
|---|---|---|
| Primary operating problem | Improves talent decisions from discovery through evaluation by grounding sourcing, executive search, hiring, mobility, and workforce questions in shared context | Connects hiring-manager intake, live talent-pool calibration, prior-hire patterns, feedback, and agent execution across external and ATS-connected sourcing workflows |
| Core data foundation | Continuously refreshed 3D context across 800M+ people and 100K+ sources, with 300,000+ searchable attributes | Searches 800M+ profiles across 30+ sources and enriches candidate profiles with work, education, social, technical, and contact data |
| Natural-language and attribute search | Turns skills, trajectory, environments, company context, accomplishments, patents, publications, and relationships into structured search criteria | Translates natural-language requests into filters and rankings, with search controls for skills, roles, seniority, companies, tenure, education, and activity |
| Candidate evidence and prioritization | Connects qualifications with longitudinal career, company, impact, accomplishment, and relationship evidence for explainable prioritization | Ranks profiles against custom criteria, produces match notes and AI summaries, and supports batch evaluation from available profile evidence |
| External, warm, and ATS coverage | Evaluates external, ATS, CRM, referral, alumni, and internal talent on one contextual foundation | Covers external search, ATS rediscovery, CRM contacts, uploaded professional connections, inferred overlaps, and warm-intro requests |
| Agentic sourcing and control | Combines assistive, agentic, and build-your-own AI with shared 3D context across sourcing, hiring, executive search, and adjacent decisions; control requirements should be defined for each deployed workflow | Agents can run fully hands-off or with manual checkpoints at shortlist or sequencing; Intake captures requirements, calibrates the visible talent pool, and can launch an agent from the notes |
| Outreach and engagement | Uses attributes, timing, relationships, and pipeline context to personalize campaigns across cold and warm talent | Supports verified contact data, dynamic multi-step sequences, multiple senders, follow-ups, reply detection, and outreach analytics |
| Talent and market intelligence | Connects company movement, market context, talent supply, networks, sourcing analytics, and people intelligence to hiring and workforce decisions | Shows pool size, location, experience, sample profiles, and requirement impact during Intake so teams can calibrate the search before agent execution |
| Implementation and value measurement | Pilot a use case where structured attributes, warm paths, or verified evaluation matter; baseline recruiter effort, slate acceptance, pipeline contribution, and reuse across later decisions before expanding | Test the desired autonomy level, calibration process, checkpoint placement, ATS/CRM handoff, sourcing capacity, and recruiter adoption against the current role-by-role workflow |
| Assessment and hiring stages | Extends shared context through skill assessment, AI screening, AI interviewing, and identity verification for hire-ready decisions | Evaluates and ranks candidate profiles for sourcing; public product materials focus on search, CRM, engagement, and handoff into connected ATS workflows |
| Operating scope and expansion value | Lets teams begin with sourcing, then extend the same intelligence into executive search, assessment, market intelligence, mobility, hiring, and workforce planning | Centers recruiters, sourcers, agencies, hiring managers, and lean teams on context-aware sourcing, market mapping, CRM, outreach, and connected top-of-funnel workflows |
Talent teams use Findem to build niche shortlists, move at startup speed, and turn market context into measurable hiring results.
30 sec
“Having Findem inside the LLM I use daily changed how I think about my job. I can pull the top 20 profiles for any niche, on a live call. The time it saves is hard to even put a number on.”
50%
“Findem is the most modern way to source. Once I define what I need, every candidate I see is high quality.”
4 hires
“When we expanded into Mexico City, the insights validated the opportunity — but the sourcing platform is what enabled us to execute. We've made four hires, built strong pipelines in a brand-new market, and reduced our reliance on agencies.”
How the underlying intelligence changes sourcing precision, warm-path coverage, and the decisions that follow candidate discovery.
Juicebox ranks profiles against natural-language criteria and explains matches from available profile data. Findem creates a durable decision advantage by resolving longitudinal career, company, accomplishment, and relationship context into structured, searchable evidence.
Juicebox maps uploaded connections and inferred overlaps for warm introductions. Findem carries relationship context across external, ATS, CRM, referral, alumni, and internal channels, making warm-path intelligence reusable across more searches and talent decisions.
Juicebox combines Agent 4.0 context with Intake, which captures hiring conversations, updates talent-pool views as requirements are discussed, and launches an agent from the resulting notes. Findem is the right choice for teams that need structured, continuously refreshed 3D context to carry through executive search, verified assessment, AI screening, AI interviewing, identity verification, and broader hiring decisions.
Findem is the right choice for enterprise teams that need sourcing automation to run on deeper people, company, career, accomplishment, and relationship evidence. That shared foundation can support warm-path discovery, executive search, assessment, hiring, market intelligence, mobility, and workforce planning—so the value is measured in both capacity and better decisions.
See the platformJuicebox emphasizes fast natural-language sourcing, hiring-manager intake, network search, outreach, and agents that can run hands-off or with manual checkpoints. That configurability is useful product context. Findem remains the recommended choice for its enterprise ICP because higher-resolution, continuously refreshed intelligence carries further across channels, evaluation stages, and talent decisions.
