Alma uses data analytics and machine learning to identify systemic and structural bias in housing data creating equal access to quality affordable homes regardless of race or origin.

Biases and discriminatory barriers in systems, processes and algorithms in housing, healthcare, education, economic development, and the criminal justice system are nothing new.  We are part of a growing group of humanity-centred designers, systems thinkers, data scientists, mathematicians, tech experts, and community changemakers who are using data and technology as movement-building tools for a more equitable world.


History had the urban race riots in the mid-1980s, fast-forward of the global Coronavirus pandemic and the George Floyd protests. BME communities in recent years have had to contend with and must reconcile the trauma of the aftermath of the Grenfell Tower Tragedy, The Windrush Scandal, and now with the fatalities, and related suffering, not mention the ongoing risks and continued stigmatisation of the impact of COVID-19.


As we perceive the possibility of living with COVID-19 in the long term, social housing has a duty to respond in the positive. creating equal access to quality affordable homes regardless of race or origin.

  • Remove doubt with real-time data and reasoning for decision making and financial resource allocation. 

  • Model disaster response for public health, extreme weather or terrorism emergencies.