Regional Data Intelligence
Turn Regional Data Into Better Decisions
AI makes regional data usable by organising information from disconnected systems, detecting patterns, and giving teams a clearer basis for action.
01
Connect Disconnected Data
Bring records, systems, and operational signals into a common regional data context.
02
Understand What Matters
Use AI to surface patterns, dependencies, and priorities that would otherwise remain hidden.
03
Direct Work Faster
Give agencies and service teams timely context for decisions, tasks, and coordinated action.
04
Improve Resource Use
Focus time, capability, and attention where they can make the greatest local difference.
AI-Enabled Coordination
The platform gives every participating team the context to act together: what needs attention, who owns the next step, and where resources should go.
01
Interpret the operating context
AI brings together data, priorities, and live conditions for a more complete regional view.
02
Prioritise the next move
Teams can focus on decisions and work that require attention instead of manually reconciling information.
03
Coordinate the response
Shared intelligence helps agencies act with clear ownership, aligned timing, and fewer handoff gaps.
How Regional AI Creates Operating Value
Connected Regional Data
Records · Systems · Live signals
AI Intelligence Layer
Interpret · Recommend · Coordinate
Priorities
What matters now
Decisions
Clear next steps
Action
Coordinated teams
Continuous learning from delivery
Built for Cities and Regions
The platform works at two connected scales. It gives city teams clearer operational context while helping regional authorities coordinate across municipalities, shared services, and public entities.
Connected Place Data
Unify the City View
Bring information from city departments, districts, and regional entities into a shared data context that preserves the systems teams already rely on.
01
See the full operating picture
Connect service, programme, and place information without a manual search across disconnected sources.
02
Keep local ownership clear
Each team retains its role while the platform creates a common context for shared work.
AI-Powered Place Insight
Understand How Places Differ
AI helps teams recognise patterns, dependencies, and emerging pressures across neighbourhoods, municipalities, and service networks.
01
Identify meaningful patterns
Surface differences between places and services that can inform where attention or support is most useful.
02
Learn across the region
Use comparable context to identify practices that can be adapted by other city or regional teams.
Coordinated Local Action
Give Teams Context for Action
Turn regional intelligence into useful context for city departments, district teams, and partner agencies so the next step is clear.
01
Clarify the next decision
Give the right people timely context for decisions, work allocation, and shared priorities.
02
Coordinate across boundaries
Align work across city departments, municipalities, and regional entities when delivery requires a joined-up response.
Case Study · Monaco
Net0 built two citizen-facing carbon calculators for the Government of Monaco — one for visitors, one for event organisers — turning transport, accommodation, catering, venue, and waste inputs into verified CO2e estimates and tailored reduction guidance for the Principality’s path to carbon neutrality by 2050.
2
Public calculators
One for visitors, one for event organisers, each tailored to Monaco.
2050
Carbon neutrality target
Anchored in Monaco’s National Pact for the Energy Transition.
What Net0 created
Net0 built both calculators on its sustainability platform, using activity-based emission factors and Monaco-specific data so outputs stand up to the Principality’s own reporting.
Tourist calculator
Event calculator
Emission factors
Reduction guidance
Sovereign hosting
01
Tourist Carbon Calculator
Transport, accommodation, dining, and leisure inputs return a CO2e estimate for a visitor’s stay.
VALUE Route inbound visitors toward lower-carbon choices inside Monaco.
02
Event Carbon Calculator
Venue, attendee travel, accommodation, catering, energy, and waste inputs return total and per-attendee CO2e.
VALUE Give organisers prioritised reduction levers, led by attendee travel.
03
Activity-Based Methodology
Local factors for Monaco’s electricity supply, district heating, and waste streams, aligned to the GHG Protocol.
VALUE Outputs defensible to auditors and portable into national inventories.
Connected Data System
International, national, and regional layers each add context to the same delivery system — making information more useful without removing local ownership.
International
Bring a shared frame
Common measures make it easier to compare progress and learn across participating systems.
International level
National
Connect the national picture
National platforms set priorities and give regions the standards and context they need to act.
National level
Regional
Apply intelligence locally
Regional platforms turn local data into timely, coordinated decisions for the teams delivering services.
Read the full Monaco case study
AI that cities can run on
Infrastructure, mobility, permits, climate and citizen services — delivered as one accountable programme with your region in control.
Talk to our team