Reejig

Reejig operates as a workforce intelligence platform, offering enterprise clients a sophisticated tool to manage and optimize their talent. Founded in 2019 by Siobhan Savage, Mike Reed, and Dr. Shujia Zhang, the Sydney-based company aims to address inefficiencies in large-scale talent management. The company's creation was directly influenced by the founders' professional experiences. Savage, with a background of nearly two decades in global workforce strategy, witnessed firsthand how large organizations would simultaneously lay off staff in one division while hiring in another, highlighting a critical lack of internal skills visibility. This experience fueled the mission to create a platform that enables companies to find, retain, and upskill their existing talent.

The founding team combines diverse expertise crucial to the platform's development. Siobhan Savage, the CEO, brings extensive experience in workforce strategy and HR technology. CTO Mike Reed has nearly 30 years of experience in software engineering, cybersecurity, and corporate strategy, having previously felt the frustration of not knowing the skills available within his teams at a major engineering firm. Chief Data Scientist Dr. Shujia Zhang holds a PhD in machine learning and has over a decade of experience in data mining and artificial neural networks, providing the deep technical knowledge for the platform's AI.

Reejig's business model is centered on providing its workforce intelligence platform as a software-as-a-service (SaaS) solution to large global organizations, governments, and academic institutions. The platform integrates with a client's existing HR systems, such as their Applicant Tracking System (ATS) and Human Resource Information System (HRIS), to aggregate and enrich talent data. It creates comprehensive profiles for every individual in a company's talent ecosystem—including current employees, previous applicants, and alumni—by mapping their skills, experiences, and potential career paths. This creates a centralized system, or "nervous system," for all talent-related decisions. The platform's core technology is its proprietary "Work Ontology," a framework that maps jobs, tasks, skills, and processes across 23 global industries. This allows businesses to understand work at a granular level, identify task duplication, and see where AI can be integrated to improve efficiency.

A key differentiator for Reejig is its commitment to ethical AI. The company's AI is independently audited to ensure it is transparent and free from bias, a measure taken proactively to build trust and address concerns about fairness in AI-driven recruitment. Financially, Reejig has secured significant backing, raising a total of $40.2 million over four funding rounds. Its journey began with a seed round in 2020 and includes a Series B round of $17 million in September 2022, led by Salesforce Ventures, with other notable investors like Skip Capital and AirTree Ventures participating in earlier rounds. These funds are fueling the company's global expansion, particularly into the US market.

Keywords: workforce intelligence, talent management, skills ontology, ethical AI, HR technology, internal mobility, employee retention, upskilling, reskilling, talent acquisition, workforce planning, SaaS, enterprise software, AI transformation, work architecture, talent marketplace, human capital management, career pathing, people analytics, workforce optimization