Network, grid and site analytics on the map
Decide where to build, serve, route and sell using the map, not the guess.
What this fixes
Grid extensions, well pads, substations and service territories are planned in tools that do not talk, so the same terrain is assessed several times a year.
Site selection, catchment and cannibalisation modelling, territory design, route optimisation, coverage and accessibility analysis, built on your own operational data plus mapping, mobility and demographic layers. Delivered as maps decision-makers can interrogate, not a one-off consulting deck.
Site and route selection
Outage and fault mapping
Vegetation and encroachment risk
Crew territory design
Where it earns its place
How we build it
Foundation check
Before any buildWe inspect the systems, the data behind them and the quality of the records this capability will depend on, then write down what has to be fixed before anything is built.
Narrow first release
First releaseOne workflow, one team, real traffic, measured against the baseline we captured before we started.
Controls and evaluation
Runs in parallelGuardrails, approval gates, evaluation sets, logging and the evidence pack your auditor and your regulator will ask for.
Scale and hand over
After sign-offAdditional workflows, sites or languages, then runbooks and training so your team can operate it without us.
What has to be right first
- Geocoded transactions, sites or service events, the single biggest quality blocker.
- An agreed boundary and territory definition everyone uses.
- Licensed mapping, mobility or demographic layers where the question needs them.
- Historical performance by location for calibration.
Guardrails and KPIs
Every action is logged and replayable
Inputs, retrieved context, model version, output and the human decision are written to an immutable log, so an auditor can reconstruct any single interaction months later.
Data stays where your regulator requires
In-country, in-region or on-premise deployment, with the model portfolio right-sized to the workload instead of routing everything to a frontier endpoint abroad.
Accuracy is monitored, not assumed
A held-out evaluation set runs on every model or prompt change, with drift alerts and a documented rollback path when quality moves.
Location data is personal data
Individual movement traces are aggregated before analysis, and licensing terms for external mobility data are checked before it enters a model.
KPIs it moves
- • Forecast accuracy for new sites
- • Distance and fuel per delivery
- • Service coverage of target population
- • Territory workload balance
- • Cannibalisation of existing sites
Integrations
Proof in this sector
Proof in this sector
Anonymised clientsNetwork loss analytics and metering data foundation
Utility in the GulfGeneration and demand forecasting for trading and dispatch
Energy generator in EuropeHealth, safety and environment reporting foundation
Energy operator in the Middle East