We could not find any results for:
Make sure your spelling is correct or try broadening your search.
Share Name | Share Symbol | Market | Type | Share ISIN | Share Description |
---|---|---|---|---|---|
Cykel Ai Plc | LSE:CYK | London | Ordinary Share | GB00BJ9MHH56 | ORD 1P |
Price Change | % Change | Share Price | Bid Price | Offer Price | High Price | Low Price | Open Price | Shares Traded | Last Trade | |
---|---|---|---|---|---|---|---|---|---|---|
-0.10 | -2.86% | 3.40 | 3.30 | 3.50 | 3.54 | 3.40 | 3.40 | 1,080,591 | 08:00:17 |
Industry Sector | Turnover | Profit | EPS - Basic | PE Ratio | Market Cap |
---|---|---|---|---|---|
Offices-holdng Companies,nec | 0 | 170k | 0.0004 | 137.50 | 14.44M |
29 October 2024
Cykel AI PLC
("Cykel AI" or the "Company")
Cykel AI PLC (LSE: CYK), a leader in AI automation solutions, today announced the launch of a suite of recruitment-focused automation workflows designed to streamline end-to-end processes and high-volume tasks. This launch builds upon Cykel's successful partnerships with multiple recruitment firms, including Chaptr, an innovative recruitment startup specialising in hiring across Engineering, Product, Data, and Leadership. This launch comes at an optimal time to meet the growing demand for AI solutions in the talent acquisition space.
Key Features:
● Automated candidate screening and CV analysis
● Job description generation and optimisation
● LinkedIn integration for AI-powered candidate sourcing
● AI interview analysis and candidate scoring
● Automated personalised candidate engagement campaigns
● Integration with leading Applicant Tracking Systems (ATS)
These workflows are designed to reduce time spent on repetitive recruitment tasks, allowing recruitment professionals to focus on making better hiring decisions faster. The solution leverages Cykel's advanced AI capabilities to automate key stages of the recruitment lifecycle, from initial candidate sourcing through to final placement.
With the UK recruitment industry valued at tens of billions of pounds annually, the adoption of AI technology has become crucial for maintaining competitive advantage. Research indicates that recruitment professionals spend up to 70% of their time on repetitive tasks that could be automated, representing a significant opportunity for AI-powered solutions to transform the industry. As organisations face increasing pressure to hire efficiently in a competitive talent market, AI automation tools have become essential for modern recruitment operations.
Ewan Collinge, Co-Founder and CEO of Cykel AI, commented: "Our expansion into recruitment automation represents a strategic focus on an industry where we've seen exceptional demand for AI transformation. Through our work with partners like Chaptr, we've developed deep insights into the challenges faced by recruitment professionals. This new suite of workflows addresses these challenges head-on, automating the repetitive aspects of recruitment while enhancing the human elements that make great recruitment possible. We're excited to see how this technology will help organisations streamline their hiring processes and make better placement decisions."
This release extends Cykel's presence in the recruitment sector, building upon existing partnerships and carrying forward the Company's mission to automate work at scale. The recruitment vertical represents a key growth area for Cykel, aligned with the Company's strategy of focusing on sectors where AI automation can deliver significant value.
About Cykel AI PLC
Cykel is an AI product and research company. Our automation solutions simplify repetitive tasks, enabling employees to concentrate on strategic and important work. We build systems designed to expand the functionality, reliability, and application of AI automation. Cykel AI is building an automation layer for the internet.
Contact Information:
For more information about Cykel AI, please visit cykel.ai
1 Year Cykel Ai Chart |
1 Month Cykel Ai Chart |
It looks like you are not logged in. Click the button below to log in and keep track of your recent history.
Support: +44 (0) 203 8794 460 | support@advfn.com
By accessing the services available at ADVFN you are agreeing to be bound by ADVFN's Terms & Conditions