OUR Work /
Radar
Powering talent discovery
using AI
We helped build Radar, an AI-driven platform that finds hidden talent, cuts costs, and speeds up hiring.
Company Overview
Radar’s team recognised a significant challenge within the recruitment industry: the difficulty in accessing passive talent, which constitutes the majority of the workforce. Traditional recruitment methods relied heavily on reactive strategies, often missing out on the most qualified candidates who were not actively seeking new opportunities.
Radar wanted to enable its clients to break free from these outdated practices, finding and engaging talent that competitors couldn’t reach. The goal was to develop a solution that not only identified but also proactively connected with these hidden talent pools, ensuring that clients could stay ahead of the competition in a rapidly evolving market.
Radar's ai-powered talent tool
At the core of Radar’s solution was the development of a bespoke talent intelligence platform. This AI-driven recruitment tool harnesses millions of global data points to map out and categorise passive talent pools across various industries. By focusing on specific skill sets and expertise, the platform allowed Radar’s clients to pinpoint individuals who were not actively looking for new roles but who had the potential to significantly impact their businesses.
Our strategic approach combined advanced data analytics with deep industry insights, enabling a proactive recruitment strategy that went beyond finding talent. It involved understanding the future needs of scaling technology companies and preemptively sourcing the right candidates. We ensured that Radar’s clients could access a previously untapped talent pool, effectively reducing recruitment costs and enhancing their ability to scale rapidly and efficiently.
Showcasing talents in Radr AI tool
Radar’s innovative platform had a profound impact on its clients’ recruitment processes. By shifting from reactive to proactive recruitment strategies, clients were able to engage with top-tier talent that was previously out of reach. This transformation not only improved the quality of hires but also significantly reduced time-to-fill metrics, ensuring that clients could meet their scaling objectives without delay.
Moreover, the platform’s ability to continuously update and refine talent pools meant that clients were always ahead of the competition, ready to engage with the right candidates as their business needs evolved. The success of this approach was evident in the marked decrease in recruitment spend and the increased agility with which clients could respond to market changes.
in recruitment costs by eliminating third-party agency fees.
in the quality of hires, with more candidates fitting the exact skill set requirements.
time-to-fill for critical roles, enabling quicker scaling.
David Ward, Founder at talent.ai
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