SparkBudd Technologies turns asset records, terrain and environmental data into decisions network operators can defend — to their board, their customers and their regulator. We work across electricity, water, gas and telecoms, and we hand back the model, not just the map.
The problem
Asset records live in one system, condition data in another, and the environmental context that determines actual risk lives outside the organisation entirely. The result is investment decided on averages when it should be decided on locations.
of buried pipes and cables beneath the UK, held across hundreds of separate asset registers.
accidental strikes on those assets every year — most of them a data problem before they are a digging problem.
estimated annual cost to the UK economy, before counting the risk to the people in the trench.
Figures published by the UK Government's National Underground Asset Register programme — nuar.uk
Services
Each one starts from a decision you need to make, not from a dataset we happen to hold.
We consolidate GIS, streetworks records and survey returns into one spatial source of truth — then tell you how much of it you can trust. Data quality scoring, positional accuracy assessed against PAS 128 quality levels, duplicate and orphan asset detection, and preparation for your NUAR submission.
Which of your assets are actually exposed, and to what. Environment Agency flood zones 2 and 3, surface water, coastal erosion, ground movement derived from InSAR, and heat. Delivered as climate-adjusted scenarios that hold up inside a resilience business case rather than a single static overlay.
Canopy height and growth modelling along overhead line corridors, built from satellite imagery and LiDAR rather than from the last time someone drove the route. You get a prioritised cut list ranked by fall-in risk and the customer minutes lost if the span goes.
Demand growth modelled at LSOA level, with EV and heat pump uptake scenarios set against real substation headroom. Supports DFES submissions and Local Area Energy Plans, and turns a connections queue into a heat map you can prioritise reinforcement against.
Least-cost path modelling for new circuits, mains and ducts across the constraints that actually stop schemes: SSSIs, AONBs, listed buildings, scheduled monuments, ground conditions and land ownership. Includes land referencing and wayleave support for the corridor you settle on.
Crew routing and depot siting against real travel times, outage impact modelled by who is downstream rather than by asset count, and Priority Services Register mapping so storm response reaches vulnerable customers first. Fuel poverty overlays where they change the answer.
Sectors
Utility spending moves on regulatory cycles. Analysis that arrives after the submission window is analysis nobody can act on, so we plan backwards from yours.
RIIO-ED2 is in delivery while the evidence base for ED3 is being assembled now, and RIIO-T3 has been live since April 2026. Both need spatial justification rather than fleet averages. We build the headroom, vegetation, resilience and connections analysis that has to survive scrutiny line by line.
The largest investment programme the sector has run, with performance commitments attached to nearly all of it. Leakage and DMA analytics, pipe failure likelihood modelled from material, age, soil and pressure together, storm overflow and catchment permitting evidence, and biodiversity net gain across operational land.
A five-year settlement already running, against a network whose long-term role is still being decided. Iron mains risk reduction targeted by actual consequence rather than by diameter band, hydrogen blending feasibility across the existing network, and the data preparation that statutory NUAR duties will require.
Where the margin is won or lost in the planning, not the trench. Build route planning against premises density and existing infrastructure, streetworks permitting and noticing efficiency, duct and pole reuse analysis, and joint trenching opportunities with the other utilities working the same street.
How we work
No black boxes and no annual licence for a dashboard you cannot open. The pipeline is yours at the end of it.
A short paid discovery. What decision are you actually trying to make, who has to sign it off, and what data already exists inside the business?
We pull your GIS and asset systems alongside national open data, then give you an honest fitness-for-purpose assessment — including the parts that are missing.
Reproducible, version-controlled pipelines in Python, PostGIS and QGIS. Documented and re-runnable next year, rather than a spreadsheet nobody can reconstruct.
Maps, dashboards and the underlying model, delivered into your stack — Esri, QGIS or Power BI. Open formats throughout, so nothing is locked to us.
Data & standards
Plus whatever sits inside your own estate — we are equally happy reading an enterprise geodatabase or a folder of shapefiles somebody inherited.
Questions
Usually capacity and a second opinion, not replacement. In-house GIS teams are typically consumed by keeping the map current and answering requests from the rest of the business — the analytical work that needs three uninterrupted weeks keeps getting deferred.
We take that piece, work alongside your team rather than around them, and leave the pipeline behind so the second run is something you do yourselves.
Yes. We can publish to ArcGIS Enterprise or ArcGIS Online, deliver file geodatabases and layer packages, and match your existing schema and symbology so outputs land where your team already looks.
Our own analysis runs on open tooling — Python, PostGIS, QGIS — which keeps the method inspectable and means you are not paying for a seat to read your own results. The two coexist perfectly well.
NDA and a data sharing agreement before any transfer. Processing and storage stay in the UK, access is restricted to the people actually on your engagement, and we bring in no third-party processor without your written approval.
We treat network asset data as security-sensitive by default. At the end of the engagement it is returned or destroyed, whichever you instruct.
Almost always a scoped discovery running two to four weeks against a single decision — one region, one asset class, one question. It is deliberately small enough to sign off without a procurement exercise, and it ends with a written assessment of whether the larger piece is worth doing at all.
Discovery is quoted fixed price once we understand the data situation, so you know the number before you commit to anything.
Not yet — we are a young company and we would rather say so than imply otherwise. In practice most first engagements are small enough to sit under direct award thresholds, or run as a subcontract through a consultancy or contractor already on your approved supplier list.
If your route to market requires a specific framework, tell us which one and we will be straight with you about whether we can get there in your timescale.
Not a demo and not a capability deck — a conversation about the specific question you cannot currently answer, and whether spatial analysis is genuinely the thing that unblocks it. Sometimes it isn't, and we will tell you.