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Jobography

Powered by big data and AI,
Jobography charts interactive career maps
that predict, personalize and power
your next career moves.

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Years labor market data
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Occupations mapped across industries and roles
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Skills tracked in real time
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Career Journeys analyzed for growth insights

How We Power the Future of Career Navigation

Discover our three-pillar approach to transforming career guidance

AI that Turns Data into Direction

AI that Turns Data into Direction

We combine deep scientific insights with scalable technology to help individuals and enterprises explore the future of work connecting their interests to emerging industries, skill paths, and real-world opportunities.

Decisions Backed by Decades of Data

Decisions Backed by Decades of Data

We combine a range of data sources – from big longitudinal workforce data to real-time data from job postings and online platforms – to ensure every career recommendation is grounded in evidence, not guesswork.

Designed for Impact

Designed for Impact

From schools to workforce agencies, Jobography is built for large-scale impact, not as a public job board, but as a strategic institutional tool.

The First AI career navigation platform built around the individual, but scalable for teams, schools, and enterprises.

Frequently Asked Questions

Jobography is an intelligent career navigation platform that uses AI to map and match your skills to jobs, courses, and career pathways, visualizes multiple opportunities, and guides you toward actionable next steps — helping you explore, compare, and plan your future with confidence.

In Jobography, occupations are grouped into categories and coded using a system called the International Standard Classification of Occupations (ISCO-88). This system helps make occupation comparisons easier across different countries, while sorting occupations from high-skill, high-paying ones at the top, to lower-skill, lower-paying ones at the bottom.

Before converting occupations into this international scale, they were first grouped and coded using the ANZSCO system (Australian and New Zealand Standard Classification of Occupations), which was developed by the Australian Bureau of Statistics (ABS), Statistics New Zealand, and the Australian Government's Department of Employment and Workplace Relations.

No. Jobography doesn't guarantee what job you'll get or how much you'll earn, but it can give you a useful guide.

The occupation projections on the map are based on trends from past years, using publicly available data and in-house proprietary data from JobSciences Pty Ltd. This means it looks at what has happened before, including which jobs have grown, the median hourly wage for people in each occupation, and how people have moved between occupations.

Altogether, it can help you explore your options, understand what different jobs might pay, and see how others have moved through their careers.

Jobography can be a great tool for planning your next step. Even though it doesn't give you courses or training directly, it helps you see where you are now and where you could go next. Here's how it can support your self-upgrade journey:

  • Identify your current occupation: Start by locating the circle that best matches what you do now.
  • Explore nearby occupations: Circles that are close to yours show roles that use similar skills. These could be great targets for upskilling.
  • See what's possible: Jobography shows common transitions: how people move from one job to another. This helps you understand what changes are realistic and what skills might help you shift roles.
  • Compare wages: Check out the pay range for different occupations so you can aim for roles that offer both growth and better pay.
  • Plan your learning: Once you see your target occupation, you can research what skills, qualifications, or training are usually needed to get there.

Predictions are based on real data and patterns from how people have moved through jobs in the past. Here's what happens behind the scenes:

  • We look at job history data: Our models use large sets of anonymised data showing how people have changed occupations over time, what jobs they moved from and to, and how long they stayed.
  • We track common transitions: We look at the occupation you've selected and find where people in that role most often go next. For example, if many customer service workers move into sales or admin jobs, the system learns that pattern.
  • We use those patterns to predict paths: Based on those trends, the map gives you a possible career path over the next 3 years: the kinds of jobs you might move into, how common those moves are, and what kind of wages to expect along the way.
  • It shows likelihood, not certainty: These predictions are probabilities, not promises. Everyone's journey is different. But it gives you a realistic idea of what others have done and where your path might lead based on your starting point.

Put it differently, Predictions are like getting advice from thousands of people who've gone before you, condensed into a few smart suggestions to help you move forward with confidence.

Yes! With the Simulation feature, Jobography can help you chart a step-by-step journey from your current job to your dream job. Think of it like using a GPS for your career. Here's how it works:

  • Start with your current job: Find the circle on the map that best represents what you do now. This is your starting point.
  • Choose your ideal job: Next, pick the occupation you'd love to move into, even if it feels far away right now.
  • See possible paths: The map will then trace real-career transitions—based on actual career data—that show how people have successfully moved between jobs to get from your current role to your target one.
  • Step-by-step journey: You'll see one or more suggested pathways, including:
    • The jobs people often take as intermediate steps
    • How skills from your current role transfer to new ones
    • Changes in wages and job satisfaction along the way
  • Personalised, realistic options: Some paths might be direct. Others might take a few steps. But all are based on real-world movements, so you're seeing what's actually worked for others, not just theory.

We aggregate and harmonize data from a wide range of publicly available sources — including government databases, online job postings, and real-time labor market information — to power our proprietary datasets. This process ensures that all information about jobs and careers is standardized, consistent, and comparable across industries and geographies.

Our advanced machine learning models are trained on this comprehensive dataset to analyze and project individual career trajectories. These insights are personalized to each user's unique employment history, yet grounded in patterns drawn from hundreds of thousands of data points across the global workforce.

Following data harmonization, we refine our models through continuous learning — combining machine intelligence with user feedback, expert domain knowledge, and logic-based recommendation systems. This multi-layered approach enhances the transparency, explainability, and reliability of our predictions.