Company Profile / Workforce Intelligence
Reejig.
The Work Operating System for AI-powered work - mapping every job, task and workflow so people and machines are pointed at the right thing.
The Work Operating System for AI-powered work - mapping every job, task and workflow so people and machines are pointed at the right thing.
The Dispatch
Most software knows your customers, your invoices and your servers. Very little knows your work - the actual tasks, handoffs and decisions that fill a day. Reejig started life in 2019 as a talent-intelligence tool and, over six years, talked itself into a much bigger job: becoming the operating system for how work gets done when humans and AI share the load.
The company was founded in Sydney by Siobhan Savage, a workforce-optimisation specialist, alongside machine-learning researcher Shujia Zhang and veteran technologist Mike Reed. The founding frustration was blunt. Companies reorganised, hired and fired while barely knowing what skills already sat on their own payroll. Reejig's first answer was visibility: pull employee profiles from internal systems, enrich them, and let people find internal roles they'd never have heard about otherwise.
That product - an internal "opportunity marketplace" - was useful. But the more interesting move came later. Reejig argued that the century-old job description was the wrong unit of measurement, and built what it calls a Work Ontology: a structured map that breaks jobs into skills, tasks, dependencies and time across more than 25 industries. In late 2024 it layered on a Work Context Graph and reframed the whole thing as a Work Operating System for AI-powered work.
The pitch to a Fortune 500 board is deliberately unglamorous. Before you unleash AI agents on your business, you need a map of the business. Reejig sells the map - and the audit trail that comes with it.
"On a mission to create a world with Zero Wasted Potential in people, business and society." - Reejig's stated mission
The Platform
Reejig describes its platform as a continuous loop. The idea is that work is never "finished" being mapped - it keeps changing, so the system keeps updating. Each stage feeds the next, and the whole cycle sits on top of the Work Context Graph.
Unbundles traditional job architectures into atomized parts - skills, tasks, task adjacency, requirements and time - creating a shared language of work across 25+ industries.
Three layers - Work Architecture, Work Context and Work Record - that give AI agents a map of how work flows, who hands off to whom, and what happened.
Positioned as the world's first independently audited talent AI, built to power hiring, internal mobility and reskilling with bias mitigation and transparency.
The Problem
Enterprises spend heavily hiring for skills they already employ, struggle to move people internally, and now face a second wave of confusion: where AI agents should actually plug in. Reejig's argument is that all three problems share a root cause - nobody has a reliable, structured picture of the work.
By turning fuzzy notions of "skills" into concrete tasks and handoffs, Reejig aims to make internal mobility, reskilling and AI redesign run off one source of truth instead of three disconnected initiatives.
The Difference
Rivals such as Eightfold, Gloat and Beamery largely build skills graphs centred on people. Reejig's distinguishing bet is to model the work first - tasks, adjacency and time - and treat skills as a consequence. The second differentiator is the external audit of its AI, unusual in a field where "responsible AI" is often self-declared.
The third is framing: by selling a Work Operating System rather than an HR module, Reejig positions itself as infrastructure for AI deployment, not just talent management.
Who Uses It
Reejig sells B2B to large enterprises, federal agencies and system integrators, typically on a subscription that it justifies through measurable outcomes - hours unlocked, value created, and roles filled internally instead of externally. Named customers and users span technology, pharma, media and consumer goods.
Customer and partner names drawn from Reejig's public website and press materials.
Follow The Money
Reejig's rise was fast and well-backed, moving from a small seed round to a Salesforce Ventures-led raise that put it on global watchlists. Its backers include Skip Capital (led by Atlassian co-founder Scott Farquhar), Airtree Ventures and Culture Amp's Didier Elzinga.
Note: Reejig has described its 2022 raise differently from the "Series B" label used widely in the press. Figures are approximate and drawn from public reporting.
The Founders
Workforce futurist with nearly two decades in workforce optimisation. Led the effort behind Reejig's independently audited Ethical Talent AI. WEF Technology Pioneer and Forbes Cloud 100 Rising Star.
PhD in machine learning and an industry-recognised data scientist, responsible for the science underneath Reejig's ontology and models.
Technology leader with roughly 30 years across software engineering, cyber security, privacy and corporate strategy.
The Record
Savage, Zhang and Reed launch the company to give organisations visibility over their own workforce.
A ~$2.2M seed backs an internal talent marketplace powered by machine learning.
Funding fuels global expansion as Reejig pushes its independently audited talent AI.
A $15-17M raise, WEF Technology Pioneer status, Forbes Cloud 100 Rising Star, and the launch of the AI-driven Work Ontology.
Reejig ships its layered graph to power AI agents and richer workforce intelligence.
Reejig reframes itself as infrastructure for AI-powered work and publishes a Workforce Reinvention Blueprint.
The Mission
The phrase is more than branding. Reejig launched an Impact Fund that donates its workforce-intelligence technology to veterans, skilled refugees and other underrepresented communities, aiming to reskill people and remove barriers to opportunity.
Whether a mission holds up is usually visible in what a company funds, not what it frames. Here the two line up more closely than most.
The Market
Reejig sits at the intersection of HR technology, talent intelligence and the emerging category of enterprise AI infrastructure. Its wager is that the workforce-planning conversation and the AI-deployment conversation are converging - and that whoever owns the map of work owns a valuable seat at the table.
Recognition from the Fosway 9-Grid and Gartner's future-of-work research suggests analysts are taking the positioning seriously.
Reader Questions
It is an enterprise workforce-intelligence platform - now positioned as a Work Operating System - that maps an organisation's jobs, tasks and workflows and uses ethical AI to help redesign work, move talent internally, reskill people and deploy AI agents.
It was founded in 2019 in Sydney, Australia by Siobhan Savage (CEO), Shujia Zhang and Mike Reed. It is now headquartered in New York.
Close to $40M across seed, Series A and a 2022 round led by Salesforce Ventures, with backers including Skip Capital and Airtree Ventures.
A world-first, AI-driven map that breaks jobs into skills, tasks, dependencies and time across 25+ industries, creating a shared language of work.
Large global enterprises and agencies, including Salesforce, Microsoft, Johnson & Johnson, Eli Lilly, Mastercard, Kraft Heinz and Warner Bros, plus federal agencies and system integrators.