Meet us at stand E30, Hall 4
See Mantika Argus and Mantika Tessera at work on decisions like yours.
Gold sponsor, 26 and 27 October 2026, Dubai World Trade Centre.
See Mantika Argus and Mantika Tessera at work on decisions like yours.
Real-Time AI at Scale: Turning Enterprise Data into Commercial Impact. Innovation Stage, Tuesday 27 October, 13:10 to 13:30 Dubai time.
Salah Rifai and a Mantika colleague presented a talk in two sessions at Speed@BDD on the full life cycle of a machine learning project, from data collection to deployment in production. The notebooks are public.
Mantika engineers built CMT, a container migration tool. It won the Buenos Aires prize and placed first in the plumbing category of the global vote.
Middle East Business News republished, on 21 October 2026, the DIFC release that lists Mantika among the organisations taking part in the Dubai AI Festival.
Zawya republished the DIFC release of 20 October 2026, which lists Mantika among the organisations taking part in the Dubai AI Festival.
The Dubai International Financial Centre (DIFC) release of 20 October 2026 lists Mantika among the organisations taking part in the Dubai AI Festival on 26 and 27 October.
On 28 January 2026 the festival welcomed Mantika on X as a Gold Sponsor of its 2026 edition and described its always-on AI systems that score millions of transactions in real time.
Opensource.com named the Container Migration Tool, a winning entry at Docker Global Hack Day #3 from the Mantika team, among ten cool tools from the Docker community.
The Dubai Centre for Artificial Intelligence lists Mantika AI Consultancy Limited as Approved at Tier E, for AI Development, with the Verified AI Business User mark.
Salah Rifai, Yoshua Bengio, Yann Dauphin and Pascal Vincent, Université de Montréal. International Conference on Machine Learning (ICML) 2012, Edinburgh. The paper describes how to draw samples from a contractive auto-encoder.
Salah Rifai, Pascal Vincent, two co-authors and Yoshua Bengio, Université de Montréal. International Conference on Machine Learning (ICML) 2011, Bellevue. The paper presents a penalty that makes the features an auto-encoder learns less sensitive to small changes in the input.
Mantika serves banks, fintechs and digital businesses, including MercadoLibre and Mercado Pago. It makes Mantika Argus, which stops fraud before the money moves, and Mantika Tessera, the machine learning engine of all Mantika products. Operating since 2012. Write to hello@mantika.ca.