Most utility GIS data in the region is outdated, incomplete and does not cover the full asset base. Records were captured once, years ago, and the network has moved on: transformers relocated, feeders reconfigured, whole districts extended off the books. Planning, loss reduction and regulatory reporting all inherit that uncertainty.
SERVES · DISTRIBUTION INTELLIGENCE · PRODUCT SITE — AMPERE.AFRICA ↗
AMPERE · DISTRICT VIEW · REPRESENTATIVE
REGISTER LIVE
| Feeder | kV | Load | SAIDI % | Status |
|---|---|---|---|---|
| TM-11F04 | 11 kV | 0.86 | 34 | FAULT |
| TM-11F09 | 11 kV | 0.94 | 22 | OVERLOAD |
| TM-33F02 | 33 kV | 0.61 | 15 | LIVE |
| AC-11F17 | 11 kV | 0.72 | 9 | LIVE |
| AC-11F21 | 11 kV | 0.58 | 6 | LIVE |
SAIDI · TEMA DISTRICT · 12 MO
26 MIN / CUST
▼ 38% YOY
LUMEN · QUERY
“Which feeders on the Tema district drove last quarter’s SAIDI?”
Three feeders account for 71% of Tema district SAIDI in Q2: TM-11F04 (34%, recurring conductor faults on the coastal section), TM-11F09 (22%, transformer overload trips), TM-33F02 (15%, planned works overrun).
THE ANSWER
AMPERE rebuilds the asset register from the field and keeps it live. Every asset is verified in place; every subsequent field operation updates the record. The register stops being a snapshot and becomes the system of record.
As distribution districts open to private operators, those operators inherit utility assets under monitoring obligations. AMPERE is the system of record that makes those obligations auditable — for the operator, the utility and the regulator at once.
SIX MODULES, ONE RECORD
A field-verified register of every feeder, transformer, pole and meter point — location, rating, condition, connectivity. Rebuilt from the ground where the existing record cannot be trusted, then kept current by field operations.
Loading, technical and commercial losses, and performance by feeder. Compare feeders across districts; find the sections where investment moves the numbers.
Load profiles at feeder and transformer level from AMI and feeder-head metering. See where growth is concentrating before it becomes an overload.
Outage capture and SAIDI/SAIFI computation tied to the actual customer base on each feeder — reliability figures a regulator can trace back to events.
Work orders, inspections and connection jobs dispatched to field teams. Every completed job updates the asset register — this is what keeps the twin alive.
Reporting pipelines mapped to each country’s regulatory templates. Figures are generated from the same records operations run on, so submissions and operations can no longer diverge.
LUMEN · AI AGENT
Lumen is the AI agent inside AMPERE. It answers operational questions in natural language over the utility’s own network data — scoped to the tenant, grounded in the register, with every answer traceable to the underlying records.
Which feeders on the Tema district drove last quarter’s SAIDI?
Three feeders account for 71% of Tema district SAIDI in Q2: TM-11F04 (34%, recurring conductor faults on the coastal section), TM-11F09 (22%, transformer overload trips), TM-33F02 (15%, planned works overrun).
COVERAGE
The tenancy model is multi-country by architecture; each new market is configuration, not a rebuild. Nigeria, Côte d'Ivoire, Senegal, Kenya, Tanzania and Uganda are in development.