Enable AI to benefit all segments of society by being fair, transparent and accountable.
A world where all AI applications are built by default as fair, explainable and accountable solutions.
Encourage responsible AI practicies to build regulatory compliant solutions to empower individuals in all walks of life.
We believe in autonomy & accountability and are always aiming for fairness, innovation and rewarding merit.
We started our journey as an EPSRC project, focusing on empowering users manage and control how organisations collect and consume their data. This project led us to the data consumed by Machine Learning and Deep Learning Algorithms with a clear question “how can such advanced algorithms explain their behaviour and decisions to ordinary users.” To answer the question, Seclea’s co-founders carried out a joint project that led to the formation of the Seclea.
The work carried out at Smart Card Centre, Royal Holloway, University of London led us to the ICURe programme. The programme supported the refinement of Seclea’s features and how they can be deployed to overcome these AI trust and user empowerment challenges.
Seclea is now supported by UKRI InnovateUK and RSE Enterprise Fellowship to bring its technology to market. Next chapter of our story is to change society to be fairer, more transparent and accountable through a diverse range of applications based on AI technologies.
Dr. Raja Naeem Akram
CEO & Co-Founder
Focused on building technology that benefits and works for everyone in the society. Passionate about technology and how it can change the world.
Leading the frontend and user experience design and development at Seclea.
CPO & Co-Founder
Machine learning and deep learning expert, developing tools to make data scientists’ lives easier and save them crucial time.
Building applications ranging from financial services to healthcare sectors – using Seclea Platform.
Octavio del Ser Perez
CTO & Co-Founder
Technology enthusiast that is managing and developing the Seclea Platform and its product services.
Working on bias identification and rectification at all stages from development to deployment.