January 29, 2025
Cykel AI PLC
("Cykel AI" or the "Company")
Cykel AI Announces Integration of DeepSeek R1, Reducing AI Costs up to 96%
Cykel AI PLC (LSE: CYK) today announces the successful integration of DeepSeek R1, a breakthrough open-source large language model, across its digital worker platform. The integration is expected to reduce the Company's future AI infrastructure costs by up to 96%, with DeepSeek R1 costing just 4% of comparable model rates while matching or exceeding their performance.
Ewan Collinge, Co-Founder & CEO of Cykel, commented: "Just as cloud computing made processing power abundant and fundamentally transformed software, DeepSeek R1 makes AI reasoning abundant and will transform digital workers. The ability to access such sophisticated reasoning capabilities at just 4% of traditional costs unlocks entirely new use cases for our digital workers. While this development is disruptive to closed-source LLM and hardware providers, for application layer companies like Cykel, this is a major step towards abundant, affordable intelligence that we can deploy through our agents. The open-source nature of DeepSeek R1 also gives us enhanced control and security, allowing us to host the models that power our services directly."
The dramatic reduction in underlying AI costs is expected to improve the Company's operating model while enabling additional AI agent features powered by the advanced reasoning capabilities of DeepSeek R1.
For further information, please contact: investors@cykel.ai
Cykel AI
www.cykel.ai
About Cykel AI
Cykel AI creates autonomous digital workers that perform complex business tasks without human supervision. The Company's first digital worker, Lucy, independently manages end-to-end recruitment processes from candidate sourcing to pipeline management. Cykel's digital workers operate alongside human teams, enabling businesses to transform their operations at scale.
RNS may use your IP address to confirm compliance with the terms and conditions, to analyse how you engage with the information contained in this communication, and to share such analysis on an anonymised basis with others as part of our commercial services. For further information about how RNS and the London Stock Exchange use the personal data you provide us, please see our Privacy Policy.
