AI × Sustainability · Government
The Climate Data System Behind National Targets
Net0 gives governments one measured, verifiable record of national emissions — from sector inventories and public estate footprints to the evidence packs behind every reported target.
Request a briefing
90%+
Global GDP covered by national Net-Zero targets
2040 – 2050
Net-Zero deadlines set by 80% of countries
60+
AI tools for national sustainability intelligence
National Decarbonisation
The Four Levers That Move a National Curve
Most national emissions reductions come from a short list of levers. Net0 quantifies each one on your own data, so public bodies can see which lever is working, which has stalled, and what the next unit of spend should buy.
Energy efficiency
Demand cut across public buildings, district cooling, water and street lighting before new supply is built
Clean power
Generation mix, storage and grid losses tracked as capacity comes online, with the emissions effect modelled
Electrified transport
Public fleets, bus and metro networks, and charging rollout measured against the fuel they displace
Industry and nature
Heavy industry process emissions alongside sequestration from mangroves, parks and afforestation programmes
Want to see which lever moves your curve fastest?
Model your pathway with us
National GHG Inventory
One Inventory Every Agency Can Defend
Energy, transport, industry, agriculture, waste, and land use compiled into a single national inventory built to IPCC method — with activity data, factor versions, and uncertainty ranges recorded against every figure.
Sector compilation without spreadsheets
Statistical returns, utility records, customs data, and fuel sales are ingested on a schedule and reconciled into sector totals.
Recalculation you can explain
Method changes and revised factors are applied across historic years, with a versioned trail showing what moved and why.
Uncertainty stated openly
Each category carries its data quality tier and uncertainty band, so review bodies see confidence alongside the number.
Public Estate
Decarbonise What the State Actually Controls
Public bodies can reduce emissions fastest in their own estate. Net0 meters the public portfolio — buildings, fleets, hospitals, schools, water and waste operations — and ranks interventions by cost per tonne avoided.
Portfolio baseline by asset
Meter, invoice, and fleet telematics data resolve consumption to individual sites and vehicles rather than portfolio averages.
Retrofit pipeline ranked by return
Lighting, HVAC, envelope, and electrification options are compared on payback, tonnes avoided, and disruption to service.
Green procurement thresholds enforced
Supplier emissions and embodied carbon are checked against tender criteria before contracts are awarded.
Discuss your public estate
Pick one sector you already report on. We compile it with your existing returns and hand back a baseline you can check line by line — before any commitment to a wider rollout.
Choose a sector to test
Climate Finance
Tie Every Budget Line to a Climate Outcome
Green budget tagging, project pipelines, and concessional finance all demand the same evidence. Net0 links spend to measured outcomes so finance authorities can report what public money achieved alongside what it funded.
Budget tagging that survives audit
Programmes are tagged against climate objectives with the measurement behind each claim attached to the entry.
Funding submissions assembled from data
Green Climate Fund, multilateral, and bilateral applications draw evidence from the live inventory rather than one-off consultancy studies.
Outcome tracking after disbursement
Each funded project reports measured reductions against its business case, closing the loop for lenders and auditors.
Adaptation and Risk
Plan for the Climate You Will Actually Get
Mitigation is only half of a national mandate. Net0 combines hazard projections with asset, population, and service data so adaptation spending goes where exposure and consequence are highest.
Exposure mapped to public assets
Heat, flood, drought, and coastal projections are overlaid on hospitals, schools, roads, and water infrastructure.
Resilience priorities, ranked
Interventions are ordered by population served, service criticality, and cost of failure rather than by submission order.
Loss and damage evidence
Event impacts are recorded against exposure baselines, producing defensible figures for recovery and international claims.
Talk through adaptation planning
The Whole Picture
Every Environmental Domain on One Shared Record
Government agencies and public service providers hold environmental mandates that interact, and each one is measurable on the same record. Below are common examples of how domains influence each other, and how those trade-offs get resolved with data rather than assumption.
The tension
Desalination secures supply while raising power demand and brine load
How it is handled
Every cubic metre carries its energy and environmental cost, so supply decisions are weighed on impact as well as capital
The tension
Traffic and industrial controls improve air quality and energy use unevenly
How it is handled
Pollutant, energy and emissions data sit on the same asset record, so a clean-air measure is judged on all of them
The tension
Habitat and planting programmes restore ecosystems while drawing on scarce water
How it is handled
Restoration sites are tracked for canopy, survival and water draw alongside the ecological value they create
The tension
New housing, industry and solar all compete for the same land
How it is handled
Land allocation is scored against habitat lost, water stress and energy demand added before consent
Water and circularity, cooling demand, energy intensity, marine health, soil, biodiversity — if a domain has data behind it, it can sit on the same record and be traded off the same way
Common Questions
Have Questions? We Have Answers
On data, deployment, control, and how a solution gets shaped around the challenges your organisation is working on today.
What is an AI sustainability platform for the public sector?
It is a system that brings a government's environmental data into one place and applies AI to the work that would otherwise be manual — reading records, resolving gaps, classifying entries, and modelling outcomes. Scope is not limited to carbon: water, energy, waste, air quality, land use, biodiversity and resource efficiency can all sit on the same platform, because they draw on the same underlying data and the same institutional processes.
What data does a government need to get started?
Whatever already exists. Typical starting points are utility and metering records, statistical returns, procurement and asset registers, fleet and facility data, permits, and sensor or satellite feeds. Data does not need to be clean or complete before starting — the platform structures what is available, flags what is missing, and improves coverage as further sources are connected.
What if our environmental data is fragmented across departments and agencies?
That is the normal starting condition. Each authority keeps its own systems, formats and definitions, so the platform is built to ingest from many sources and reconcile them into a shared record with a clear owner per dataset. Nothing is centralised by force: teams keep their systems and the platform resolves differences in definition, unit and timing.
Can solutions be tailored to our specific challenges?
Yes. Priorities differ by country and mandate — one government needs water and cooling demand under control, another needs industrial permitting or coastal resilience. Net0 assembles a solution around the challenge and jurisdiction, configuring existing capabilities where they fit and building bespoke models, workflows or interfaces where the requirement is genuinely local.
How does AI help beyond producing reports?
Reporting is an output rather than the purpose. AI is applied to extract data from unstructured records, detect anomalies and equipment faults, estimate unmeasured periods, forecast demand and resource stress, and test intervention scenarios before money is committed. The value is in the operational decisions those capabilities support across agencies and public services.
Where does our data live, and who controls it?
Deployment can be aligned to national data residency and security requirements, including in-country hosting and operations run by teams the government designates. Access is scoped by role, activity is logged, and the authority retains ownership and control of its data throughout.
How long before a government sees useful output?
A first working scope typically covers one domain or dataset a government already maintains, and produces usable output in weeks rather than years. That result is then verified against internal knowledge before the platform is widened to further domains and agencies.
