R

Reejig

Artificial Intelligence (AI), SaaS, Software

HR & RecruitingAIWorkforce PlanningTalent ManagementEthical AI
Function:Talent Acquisition
Subfunction:Workforce planning & req intake
Loading versions...
Founded
2019
Employees
51-100
Funding
$40.2M
Stage
Series A (completed 2022\)
Report version: Oct 24, 2025

1. Products/Services & Features

  • Main Offerings:

    • Work Intelligence Platform - Provides 100% visibility of workforce skills, potential, passions, and experiences
    • Work Ontology® - Universal language for jobs, tasks, skills, and processes enabling AI-ready workforce design
    • Work Architecture Platform - Maps, automates, and redesigns jobs and workflows for AI integration
  • Feature Breakdown: Opportunity Marketplace (internal mobility), Reskilling services, AI-powered task intelligence, Ethical Talent AI engine, Work design and re-engineering, Workforce analytics and insights, Integration with HRIS and LMS systems (Departments: HR, Talent Acquisition, Workforce Planning, Learning & Development, Diversity & Inclusion)

  • Business Industry Gearing: Enterprise-focused; serves large organizations across APAC, North America, and UK regions

2. Security & Compliance

  • Certifications: SOC 2 Type I and Type II certified, ISO 27001 certified; GDPR-aligned

  • Vendors/Tools: Cloudflare CDN, HSTS, DNSSEC, IPv6 support

  • Risk Profile:

    • Breaches: No known public breaches reported
    • Features: Strict audit trails for all data access, role-based access controls, encrypted data at rest and in transit, segregated data environments, incident response procedures

3. User Feedback & Adoption

  • Aggregated Reviews: G2: 4.7/5; Capterra: 4.5/5; FeaturedCustomers: 4.8/5 (618 ratings)

    • Pros: Centralized workforce insights, AI-driven sourcing, saves time for recruiters, high satisfaction with workforce visibility, recognized for reimagining talent management
    • Cons: Occasional accuracy issues in search results, platform integration challenges with LinkedIn, perceived as less mature compared to established HR solutions, some glitches reported
  • Adoption Insights:

    • Adoption Ease: Moderate - Requires integration with existing HRIS/LMS systems; enterprise-focused with dedicated implementation support
    • Adoption Cultural Fit: High for organizations prioritizing AI-driven workforce transformation, diversity & inclusion, and internal talent mobility
  • Metrics: Not publicly disclosed; strong customer retention indicated by enterprise client base (Woolworths, KPMG, NSW Government, John Holland, MYOB, UTS)

  • Barriers: High implementation complexity for smaller organizations, requires significant data integration, learning curve for new platform adoption

4. Monetization & Business Model

  • Revenue Model: Tiered SaaS subscription model with per-user and feature-based pricing; custom enterprise pricing through direct sales

  • Pricing: Not publicly disclosed; tiered approach (likely Basic, Professional, Enterprise) with custom enterprise contracts (Sources: Pricing available upon request; no public pricing published on website)

  • Market Context:

    • TAM: Global HR technology and workforce intelligence market; estimated multi-billion dollar TAM
    • Growth Stage: Growth stage; expanding globally with recent US market entry

5. Leadership & Recent Developments

Name Description LinkedIn X Account
Siobhan Savage CEO & Co-Founder - Award-winning workforce futurist with nearly 20 years in global workforce optimization. Recognized as World Economic Forum Technology Pioneer and Forbes Cloud 100 Rising Star. MBA from Griffith University. https://www.linkedin.com/in/siobhansavage https://twitter.com/siobhansavage
Mike Reed CTO & Co-Founder - Nearly 30 years of experience in software engineering, cybersecurity, data privacy, and corporate strategy. Expert in security architecture and technology leadership. https://www.linkedin.com/in/mike-reed-2743
Dr. Shujia Zhang Chief Data Scientist & Co-Founder - PhD in machine learning with over a decade of experience in ML, data mining, deep neural networks, and graph modeling. Focused on ethical AI and gender balance acceleration. https://www.linkedin.com/in/shujia-zhang
  • Key Metrics Update:

    • Funding: Series A (2022) - $21 million total across two tranches; Salesforce Ventures joined as investor
    • Employee Growth: Over 1000% growth in 12 months as of 2022; currently 51-100 employees
  • News/Trends:

    • News Launch: Work Architecture Platform launched in 2025 to help companies map, automate, and redesign jobs for AI era
    • News Partnerships: Partnership with The Josh Bersin Company (2025) - integrated Work Ontology into Galileo AI-powered HR assistant
    • News Funding: Series A funding of $21 million (2022) from Skip Capital, Salesforce Ventures, AirTree Ventures, and others
    • News Challenges: Addressing job market disruption from AI; positioning as solution for responsible AI-powered workforce transformation

6. Target Audience & Use Cases

  • Target Market: Large enterprise organizations (1000+ employees) across APAC, North America, and UK

  • Target Users & Personas: HR leaders, talent acquisition teams, workforce strategists, learning & development professionals, diversity & inclusion teams

  • User Experience Level: Intermediate to Advanced - Designed for HR professionals and organizational leaders

  • Key Use Cases:

    • Talent Acquisition & Management - Maintain visibility of internal and external talent, build diverse candidate shortlists, develop succession plans
    • Workforce Planning & Reskilling - Align workforce with future demands, provide AI-powered learning pathways, identify reskilling opportunities
    • Internal Mobility & Career Development - Connect employees with internal opportunities matching their skills, enhance engagement, reduce bias in hiring

7. Impact & Recommendations

  • Measurable Outcomes:

    • Workflow Improvements: Centralized talent visibility, reduced time-to-hire, improved diversity metrics, enhanced employee engagement through internal mobility, data-driven workforce decisions
    • ROI Examples: Organizations report improved workforce visibility, faster internal mobility, reduced hiring bias, better retention through career development opportunities
  • Fit Assessment: Excellent fit for large enterprises prioritizing AI-driven workforce transformation, diversity initiatives, and internal talent optimization

  • Custom Rec Flags:

    • Priority ICP: Enterprise organizations (1000+ employees) in financial services, technology, professional services, and government sectors
    • Short Term Goals: Expand US market presence, enhance AI agent capabilities, deepen integrations with major HRIS platforms

8. Data Sourcing Notes

Need help evaluating and implementing AI tools?

ChiriBrain orchestrates your entire AI stack — connecting tools, teams, and workflows into one governed platform.