Built for talent teams, loved by candidates












Unlock greater retention and a bias-free hiring process. We assess over 70 data points to identify the right-fit candidates, not just by CVs - driving diversity, lower recruitment costs and improved retention.
Delivering Hiring Outcomes

People matched by urfuture stay longer because their motivations & hygiene factors align with the job and career.
urfuture Career Match
100%
CV & Education
50%
2.0X
Less Terminations

Due to increased retention organisations drive down their recruitment costs with less turnover hiring.
urfuture Career Match
100%
CV & Education
80%
1.3X
Reduction in Costs

When basing hiring decision on scientifically proven predictors unconscious bias is reduced.
urfuture Career Match
100%
CV & Education
33%
3.0X
Increased Diversity

People selected on their soft skills over hard skills with urfuture produce more results faster..
urfuture Career Match
100%
CV & Education
60%
1.7X
Improved Performance

Behavioural Science.
urfuture’s predictive technology is based entirely on Behavioural Science. By analysing over 90+ behavioural data points for each individual, we understand exactly what motivates their behaviours on a daily basis.
AI + Machine Learning.
urfuture has engineered a unique AI using ML that can process data from several thousand profiles to automatically generate predictive models, updating and fine tuning each one as candidates are successful.


Adaptive Technology.
By combining the power of the IRT model (Item Response Theory) with our proprietary scoring algorithms, we can reduce by half the screening time required to build an accurate and reliable assessment of a person’s unique talents and potential career & job matches.
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Outperforming the industry

Built to see the person behind the paper
The secret to the unprecedented predictive power of urfuture lies in the way we collect and process hundreds of data points for each individual. Discover how our data collection modules are engineered to understand who people truly are, beyond their academic and social background.
Data capture.
Each candidate, upon signing up, undergoes a career matching assessment that evaluates their personality, basic needs, job motivators, and job satisfaction. This process generates 70 distinct data points per candidate, which are then stored and organised within our database, forming the foundational layer of candidate information.

Matching analysis.
Utilising behavioural science & ML, our algorithm matches candidates against 18 career paths, specific job postings, and 40 work-related traits. Each element is scored on a scale of 10. The results are displayed in user-friendly profiles for both candidates & companies, complete with instructional prompts and insights for better understanding.

Predictive Capabilities.
Our machine learning component analyses successful placements to identify common traits and patterns, driving a dynamic, predictive model. This delivers a refined system that enhances the accuracy of career matches based on real-world entry level employment outcomes.
