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Literal Labs wins AI award

RNS Number : 7049Y

Mindflair PLC

31 March 2026

 

 31 March 2026

Mindflair plc

("Mindflair" or the "Company")

Literal Labs wins AI award

 

Mindflair plc, the AIM-quoted company focused on investing in Artificial Intelligence ("AI"), related technology, is pleased to note that Literal Labs, one of the Company's portfolio companies, has been named a winner in the AI-Research & Innovation Award category at the Global AI Excellence Award 2025.

 

Literal Labs was recognised in the AI-Research & Innovation Award category as part of the Global AI Excellence Award 2025 programme.

 

The Global AI Excellence Award recognises organisations advancing AI across a number of categories including integration, innovation, ethics, data, hardware and generative AI. Literal Labs is developing highly efficient logic-based AI technology designed to enable faster, lower-power inference, with a particular focus on delivering AI that can run effectively on standard processors and edge devices. This recognition reflects the strength of Literal Labs' technology and its potential commercial relevance across a range of AI applications.

 

Nicholas Lee, Director of Mindflair plc, commented: "We are delighted to see Literal Labs recognised with the AI-Research & Innovation Award at the Global AI Excellence Award 2025. This award is an endorsement of the company's technical innovation and reinforces our belief in the strength of Mindflair's AI-focused portfolio. Literal Labs is addressing important challenges around AI efficiency, speed and deployability, and we look forward to supporting its continued progress."

 

The Directors of the Company are responsible for the release of this announcement. The person who arranged for the release of this information is Nicholas Lee, a director of the Company.

 

 

 

Enquiries:

 

Mindflair plc
Nicholas Lee, Director
Tel: +44 (0) 20 3368 8961
Joint Broker
Shard Capital Partners LLP
Damon Heath
Tel: +44 (0) 20 7186 9950
Joint Broker
AlbR Capital Limited
Duncan Vasey/Lucy Williams
Tel: +44 (0) 20 7469 0935
Tel: +44 (0) 20 7469 0936
  Notes to Editors Mindflair plc (AIM: MFAI) is an investment company providing investors with access to a portfolio of next generation technology businesses focused on AI with significant growth potential. The Company is building an investment portfolio of high-tech businesses focused on Artificial Intelligence, across such areas as Internet of Things, Cyber Security, Machine Learning, Immersive Technologies and Big Data, which the Board believes demonstrate evidence of traction and the potential for exponential growth, due to increasing global demand for development in these sectors. For further information, visit: http://www.mindflair.tech/. Literal Labs is a UK-based artificial intelligence company pioneering logic-based AI, with technology designed to deliver faster, more energy-efficient and more explainable inference than traditional neural networks, while running efficiently on standard MCUs and CPUs without the need for GPUs. For further information, visit: www.literal-labs.ai   This communication is a "Reach" announcement. Reach is a non-regulatory news service. By using this service an issuer is confirming that the information contained in this announcement is of a non-regulatory nature. Information required to be notified under the AIM Rules for Companies, Market Abuse Regulation or other regulation would be disseminated as an RNS regulatory announcement and not on RNS Reach. This information is provided by Reach, the non-regulatory press release distribution service of RNS, part of the London Stock Exchange. Terms and conditions relating to the use and distribution of this information may apply. For further information, please contact rns@lseg.com or visit www.rns.com. 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.   END     NRAEAXDEDFFKEFA

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