How we help policing and emergency services
Butterfly Data provides data quality, data management and analytics services to UK policing and emergency services. National investment in policing AI is arriving faster than the data underneath it is ready, so we help police forces and national policing bodies get data quality, standards and sharing right first. We have direct experience with policing data, including synthetic and privacy-preserving data that lets new tools be tested on sensitive operational datasets without using real personal data. For fire and ambulance services, we integrate operational systems and build analytics that support frontline decisions. All our work is delivered in line with UK GDPR, the Data Protection Act 2018 and relevant Home Office data standards.

Maximise potential of policing and emergency services data
We help policing and emergency services overcome complex data challenges, like siloed systems, inconsistent quality, and limited real-time access, so you can make faster, more informed decisions when it matters most.
Improve frontline decision-making
Deliver real-time analytics and dashboards that provide up-to-date intelligence for dispatchers, response units, and command centres.
Break down data silos
Integrate multiple datasets across departments, systems, and formats to enable complete visibility, improve cross-team collaboration and derive actionable insights.
Ensure data quality and governance
Apply strong data validation and stewardship to improve accuracy, which are crucial to ensure timely decisions and effective resource allocation.
Leverage AI for a smarter response
Enable predictive and proactive emergency response using AI and machine learning to enhance productivity and mitigate risk, as outlined in the National Police Chiefs' Council's AI Strategy.
Support digital transformation
Build scalable, future-ready data platforms that support mobile working, case management, and emerging public safety technology.
Enable evidence-based resource allocation
Use data analytics to identify demand hotspots, optimise shift patterns, and plan long-term investments in personnel and equipment.
Recommended emergency services data services
We offer bespoke services to help emergency services improve response outcomes, increase data maturity, and meet regulatory expectations.
Data quality and standards
Data quality and standards
Data quality and standards
Policing AI is only as reliable as the records behind it. We find and fix gaps, duplicates and inconsistencies in policing data and set the standards that keep it consistent, so forces are ready for national AI tools.
Data sharing between forces and agencies
Data sharing between forces and agencies
Data sharing between forces and agencies
Investigations and safeguarding depend on data moving between forces, partners and national systems. We set up lawful, governed data sharing with clear ownership, agreed standards and checks at the point of transfer.
Synthetic and privacy-preserving data
Synthetic and privacy-preserving data
Synthetic and privacy-preserving data
New tools need testing without exposing real people. We build synthetic data that mirrors sensitive operational datasets, as we did with synthetic face data for a UK police authority, so tools can be tested for accuracy and bias safely.
Emergency services analytics
Emergency services analytics
Emergency services analytics
We bring operational data together for police, fire and ambulance services and build analytics that support frontline decisions and evidence-based resource allocation.
Simple procurement for the public sector
We provide flexible procurement solutions tailored to both public and private sector organisations. As an approved supplier, we operate across key public sector frameworks, including G-Cloud, DOS, Spark, ACE, and NVfI, while also offering a variety of other procurement routes to suit your needs.
Emergency services sector success stories
Explore our latest case studies from the emergency services sector.
5 strategies for modernising evidence-based policing using data and AI-driven insight
Download this SAS whitepaper to discover strategies that save time, deliver insights faster, and empower law enforcement leaders to make informed decisions.

Emergency services data FAQs
Learn more about how data is transforming policing, ambulance, and fire and rescue services.
Why does policing AI depend on data quality?
AI tools learn from and act on the records they are given. If policing data is incomplete, duplicated or recorded differently from force to force, an AI tool repeats those errors, and any bias in them, at scale. That affects public trust as well as accuracy. Getting data quality, standards and consistent recording right first means AI outputs can be explained, checked and defended.
What role does data play in predictive policing or incident forecasting?
By analysing historical incident data and external variables, we help services build AI models that can forecast hotspots, helping to allocate resources more proactively and reduce crime or emergency response times.
How can forces test AI tools without using real personal data?
By using synthetic data: artificial records with the same structure and patterns as real data, but which belong to no real person. For a UK police authority, we used generative AI to create synthetic face data so new tools could be tested ethically, without exposing images of real people. Synthetic data also lets forces check a tool for accuracy and bias before it is used in live operations.

Ready to transform your data?
Book your free discovery call and find out how our bespoke data services and solutions could help you uncover untapped potential and maximise ROI.



