A bold vision for the future

Every industry is going through exponential change. As we sit on the precipice of the next technological revolution, companies are being forced to adapt or be left behind.

We believe that incremental adoption of new technologies won’t be sufficient in the modern era. Our team of staffing industry leaders set a visionary roadmap that didn’t just meet the present moment, but took a bold step in defining the future.

Forging ahead to create a groundbreaking recruitment technology built by world-class engineers, we are changing what it means to be a modern staffing agency.

With the rapid pace of change and the complex demands of today’s workplace, the fundamental approach to hiring hasn’t kept up.

Traditional recruiting methods are full of limitations and inefficiencies, making it tough to hire dynamically and keep pace with business needs.

The static resume

Resumes provide a limited view of past experiences. They don’t adequately showcase crucial soft skills or future potential, making candidate comparisons difficult.

The vague job description

Job descriptions are often unclear and exhaustive. They fail to capture the day-to-day realities of the job or define success in a role.

The recruiter’s challenge

Recruiters excel at strategy and interviews. Yet, they struggle sifting through hundreds of resumes, recalling vast information, and avoiding subjectivity and bias.

The broken economics

Traditional staffing economics are broken. Fill rates are typically below 20%. Clients pay for 80% inefficiency within the process, leading to added costs.

Companies eventually recognized that the old manual ways weren’t cutting it, so they turned to technology for assistance.

While some of these early tools resulted in incremental improvements, they ultimately failed to solve the core, deeply rooted problems of accurately matching talent.

Keyword matching and Boolean strings

This method relied on exact matches, often missing qualified candidates due to varied terminology. It severely lacked contextual understanding and depended entirely on incomplete resume data.

Semantic search

Semantic search aimed beyond exact keywords, but lacked today’s AI depth. It struggled with language nuances, multiple word meanings, and heavily relied on the quality and availability of training data.

Skills-based matching

This approach relied on exact keyword matches against static skills lists, limiting context. It struggled with language variations, implied skills, and assessing proficiency, often requiring constant manual updates.

Advanced AI models have enabled breakthroughs in how candidates are matched to job openings with greater precision, speed, and cost efficiency than ever before.

We call our approach to this technological breakthrough machine matching.

Better data

We capture comprehensive information about the role and the candidate—from job role intake to interview recordings and transcripts to performance reviews and work samples. This rich dataset builds the foundation for machine matching.

Patented AI models

Our matching technology, which incorporates both LLMs and other AI algorithms, uses this dataset to understand, analyze, and match candidates to jobs, delivering match scores and explanations for recruiter review.

Any role, anywhere

Our technology is engineered to precisely match candidates across all roles, industries, languages, and locations worldwide. This allows us to tap into the complete global talent landscape for any client need.

24/7 automation

This end-to-end process runs automatically in the background—no search inputs from recruiters, no communication delays, no manual steps. Our recruiters get a shortlist of candidates ready for final review in a matter of hours.

Imagine if every recruiter performed with the insight and effectiveness of the very best. While automation handles the heavy lifting of matching, the human element remains vital. Recruiters will remain in the loop, focusing on higher-order strategic work.

Above all, experience still matters. Deep industry expertise, understanding client needs, and navigating talent acquisition complexities will continue to be essential.

We believe technological innovation will profoundly transform the staffing industry, with agencies evolving into true technology companies. Off-the-shelf staffing software will commoditize basic candidate sourcing, making proprietary AI the new competitive edge.

This means success will hinge on deploying the smartest talent-matching algorithms. Future-forward staffing agencies will build out proprietary talent data, continuously growing rich datasets for precise, on-demand matching.

We’re meeting this moment head-on by creating the most powerful AI recruitment technology in the industry. With unrivaled speed, precision, and scale, we are revolutionizing the contingent workforce landscape and changing the way companies recruit.

This is the new era of staffing and recruiting—this is machine matching with Skill.