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Informed public policy requires a number of parties to come together, but public bodies struggle to make co-ordinated decisions as data is held in departmental or geographical silos; can be highly sensitive, is often in different formats and ownership can be split between public and commercial owners.

Commercial organisations would benefit from greater access (as shown with open data), but they need to overlay this at an individual level to reap the rewards. InfoSum's isolated processing tackles these challenges.

View Government Use Cases »

Share sensitive data sets without compromising
public trust

Retain ownership

InfoSum’s decentralised network allows owners to always be in control of their own data and decide when and how to collaborate with other organisations.

Smarter together

The insights derived could be used for commercial reasons or as the basis for smarter public policy e.g. learn from separate education and social housing datasets.


InfoSum securely connects isolated data silos and avoids the risks inherent with moving or pooling data.

Individual analysis and aggregated results

Whilst output is aggregated and anonymised the actual analysis compares individual records.

GDPR compliance

Aggregated and anonymous results drive valuable insight at a statistical level whilst avoiding any negative impact on individuals.

Data Trust Implementation

InfoSum can act as the technology framework for a "Data Trust", allowing multiple agencies to share data with agreed process automatically enforced.

Goverment use cases

Behaviourial research

  • Using actual and sensitive data sets to understand the correlation between behaviours e.g. education, social services, crime, health etc.
  • Understand more about the triggers for behaviours e.g. lifestyle events, location etc.
  • Conduct initial evaluations to outline the potential added value of collaboration without the need to first commit to a large-scale solution.

Identify commercial opportunities

  • Making large datasets containing personal data available in a safe and aggregated way for commercial organisations to access and analyse easily.
  • Choose strategic partnerships on basis of relevance to audience e.g. charity support.
  • Easily share data insights between authorities when considering joint procurement projects.

Evaluate media and datasets

  • Supporting the targeting of nudge campaigns e.g. understanding which media is most effective to target pensioners on a low income.
  • Rapid evaluation of the benefit of bringing together multiple datasets - gather high level results before embarking on a long and costly data integration project.
  • Predict which customer groups are in most need of assistance by comparing datasets and finding groups who share ‘lookalike’ characteristics of those receiving help.

Measure campaign effectiveness

  • Consider the impact of spend in one area and result in another e.g. sport provision and educational attainment.
  • Look at the results of media campaigns e.g. don’t use A&E for small medical problems by comparing those who saw the media with those admitted to A&E.
  • Validate that grants to outside bodies (e.g. arts) are engaging and benefiting all parts of the community.

Data Trusts to facilitate AI research

Create new opportunities for data sharing projects to boost AI research without exposing raw data.

Using InfoSum's technology, public and private sector organisations can make large datasets available to AI researchers, where only the statistical output is required.  Data Trusts, and how they can boost the development of AI, are discussed in this UK Government Report.