About

We are AI and Machine Learning experts. We use Artificial Intelligence to transform visual business processes.

Transforming Visual Processes

There continues to be exponential growth in the amount of visual data (images and video) being collected across industries. This growth hasn’t been matched by an ability to process it, which typically requires a human expert.

Our solution is to augment experts with AI. We combine machine learning with your human expertise to process video and imagery. Massively increasing efficiency, reducing costs and improving outcomes.

Our Team

Amjad Karim

Founder and CEO


In 2018, Amjad launched Keen AI with the aim of helping customers organise, share and learn from exponentially growing collections of visual data using machine learning, data engineering and intelligent process design.

That same year, the KAI platform was deployed to our first two customers.

Amjad has successfully developed Machine Learning and AI capability across various sectors including Energy, Utilities, Retail and Financial Services.

He gained his MSc in Mathematical Modelling of Biological Complexity from University College London and BSc in Mathematics from Imperial College London. ‍

Amjad is fascinated by the ability of natural organisms to solve computational problems and how this can be applied to human systems.

Sandy Duckett

Alexander Duckett

Chairman


Sandy is a highly driven blue-chip Executive with extensive experience in Utilities & Financial Services. He has been successful in numerous challenging Director roles within Utilities, Financial Services, Government Agencies and the third sector, covering Collections, Operations, Customer Services, Client Relationships and Procurement.

Sandy was responsible for collections and customer services in leading Energy, Water and Financial services firms as well as being Chairman of Citizens Advice Edinburgh for 6 years. He was recognised by Credit Today as one of the Top 50 leading professionals in utilities and telecoms in the UK.

Sandy’s experience includes leading large transformation projects including the sale of Standard Life Bank to Barclays Bank. He was key liaison to the FSA, working closely with the UK Chief Risk Officer at Standard Life.

Will Koning

Director APAC


Will is responsible for DScience APAC including business development, and research at Keen AI.

Alongside his work at DScience and Keen AI, Will is Director of Data Strategy at Xero where he is responsible for data analytics, data integration, mathematical modelling, AI, machine learning and data-driven strategy. ‍

PhD in Mathematical Modelling of Biological Complexity from UCL. First class Honours degree and MSc in Zoology from University of Otago.

Mubin Khan

Marketing Director


Mubin is responsible for delivering marketing at Keen AI and DScience, covering their core products and incubator brands. Mubin is an established Marketing Professional, experienced at defining core strategy, managing implementation and delivering results.

Mubin is talented at building relevant customer propositions for start-ups and SME's, driving awareness and generating demand. He is adept at seeing the big picture and identifying opportunities and niches that can be exploited to increase the bottom line.

He gained his BSc with honours in Psychology from City University, London, MSc in Occupational Psychology from the University of Nottingham.

Hamzah Reta

Data Scientist & Software Engineer
KEEN AI


Hamzah joined the team as a Data Scientist, having earned an MEng in Electrical and Electronic Engineering from Imperial College London.

His primary role includes supporting the core team with client projects and helping further develop the KAI platform. ‍

Hamzah is excited by the potential of AI to take engineering processes to even greater heights. Following his passion for integrating these two worlds to build a better future, he is dedicated to helping Keen AI grow and achieve that vision. ‍

Arttu Taipale

Arttu Taipale

Data Scientist & Software Engineer
Keen AI


Arttu joined Keen AI as a Data Scientist after being awarded a MEng in Nuclear Engineering from the University of Birmingham. He has a strong background in scientific computing and modelling approaches within materials science.

Arttu works directly on new customer projects, most currently, helping to enable AI condition assessment at National Grid, UK.

Arttu is fascinated by engineering process improvement and the potential applications of Machine Learning and AI in this space.

Thomas Emment

Thomas Emment

Data Scientist & Software Engineer
Keen AI


Tom joined the team as a Data Scientist, being awarded 1st Class, BSc in Data Science from Nottingham Trent University.

Tom is at the cutting-edge, and versed in a variety of Machine Learning techniques, specialising in data analytics and software development.

Tom is passionate about AI and software and is excited to further develop his skills and practical knowledge building on Keen AI's platforms.

Saad Shoaib

Saad Shoaib

Web Developer
Keen AI


Saad joins Keen AI as a Web Developer. As the youngest member of the team, Saad is completely self-taught.

Saad is responsible for building on KAI, an AI platform that enables businesses to easily access and benefit from ML, Machine Vision and AI tools.

Saad's primary focus is front-end but he also handles backend and the KAI mobile app.

A strong advocate of open-source, Saad enjoys learning new skills, coding websites in his free time, and hosting events for his local developer community.

Petar Gyurov

Petar Gyurov

Data Scientist & Software Engineer
Keen AI

Petar holds a 1st Class BSc. degree in Theoretical Physics from Royal Holloway, and is the latest member to join the Keen AI team. He is a generalist software engineer bringing over 5 years of industry experience, spanning backend, frontend and more recently machine learning.

Petar is currently developing an AI based approach for our client, UKCEH, that will tackle Ash Dieback; a fungal disease that is expected to kill 80% of all Ash trees in the UK.

Petar is passionate about climate change and conservation, and wants to apply novel machine learning methods to revolutionise these fields.