


Expr3ss! - Predictive Hiring Technology Revenue
Staffing and Recruiting • Sydney, New South Wales, Australia • 11-20 Employees
Expr3ss! - Predictive Hiring Technology revenue & valuation
| Annual revenue | $3,571,326 |
| Revenue per employee | $239,000 |
| Estimated valuation?This valuation is estimated based on industry average for the Staffing and Recruiting industry and current estimated revenues | $11,500,000 |
| Total funding | No funding |
Key Contacts at Expr3ss! - Predictive Hiring Technology
Scott Donald
Chief Technology Officer
Dr Glyn Brokensha
Founder And Chairman
Company overview
| Headquarters | Sydney, New South Wales, Australia |
| Phone number | +611800005598 |
| Website | |
| NAICS | 5613 |
| SIC | 736 |
| Keywords | Talent Acquisition, Video, Calendar, Onboarding, Referencing, Police Checks, Talent Pool, Hire Top Talent, Hiring Technology, Performance Benchmarks, Staff Retention, Cultural Fit, Applicant Tracking System Ats, Predictive Hiring Technology, Employee Turnover Reduction, Requisition, Screening Questions, Simplify Staff Selection, Smartshortlist, Ai-Actions |
| Founded | 2005 |
| Employees | 11-20 |
| Socials |
Expr3ss! - Predictive Hiring Technology Email Formats
Expr3ss! - Predictive Hiring Technology uses 3 email formats. The most common is {first initial}.{last name} (e.g., j.doe@expr3ss.com), used 44.4% of the time.
| Format | Example | Percentage |
|---|---|---|
{first initial}.{last name} | j.doe@expr3ss.com | 44.4% |
{first name}.{last name} | john.doe@expr3ss.com | 33.3% |
{second initial}.{last name} | o.doe@expr3ss.com | 22.2% |
About Expr3ss! - Predictive Hiring Technology
In 48hrs, know exactly who will perform, stay & drive growth - chosen with your own success benchmarks. CVs can be faked, fit can’t. Expr3ss! is proven over 20 years, not an AI experiment and uses behaviour-led insights to reveal who will thrive in your business. For every growth-focused C-Suite, the biggest roadblock to scaling isn’t strategy or capital, it’s finding productive people, fast. Yet too often HR is left relying on CVs that are falsified, reveal little about performance, attitude or cultural fit, leaving critical hires to chance. While others waste weeks sifting ChatGPT-written CVs, you’ll be meeting your top 5 applicants, the ones most likely to thrive in your business. Expr3ss! goes beyond an ATS to create behaviour-driven insights from your own success benchmarks, defined by what a high performer looks like in your world. You control the criteria, we apply the science to every applicant, giving you the insight and time to assess each person more thoroughly. The result? Faster hiring, better hires, stronger teams and recruitment decisions you can confidently stand behind. Our platform removes grunt work from recruitment and fixes hiring bottlenecks that slow growth: *Hire in hours, not weeks: shortlist before others finish reading CVs *Stop costly mis-hires: filter out churn risks before interview *Unlock hidden top performers: find talent other systems miss *End the re-hire cycle: cut turnover, job ad spend, and re-advertising costs From 100-employee SMEs to enterprises with 23,000+ staff, Expr3ss! gets teams hiring faster, keeping top talent longer and scaling with confidence. Clients report stronger retention and measurable ROI in days. If you’re still battling churn, productivity loss and constant re-hiring, you’re already paying the price. Expr3ss! puts the very best at the top of your list before others even start looking. *See how our customers succeed: expr3ss.com/casestudies *Hear it in their words: expr3ss.com/testimonials
Employees by Management Level
Total employees: 11-20
Seniority
Employees
Employees by Department
Expr3ss! - Predictive Hiring Technology has 8 employees across 7 departments.
Departments
Number of employees
Funding Data
Expr3ss! - Predictive Hiring Technology has never raised funding before.
Expr3ss! - Predictive Hiring Technology Tech Stack
Discover the technologies and tools that power Expr3ss! - Predictive Hiring Technology's digital infrastructure, from frameworks to analytics platforms.
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Frequently asked questions
4.8
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