Building robust spatial topologies and mathematical network models is our core business, with open-source software serving as the foundation of all our operations. Beyond graph extraction and GIS conversion, we provide a full suite of specialized spatial intelligence services—including distribution power system modeling, multi-layer spatial path routing, proximity asset binding & GIS repair, and topological time-series analytics tailored for modern utility operators.
Auditing raw GIS layers, verifying line snapping tolerances, and building custom graph diagnostic tools
We conduct comprehensive feasibility studies on your utility GIS datasets, checking line snapping, node continuity, and spatial integrity to evaluate if building valid directed network graphs is mathematically possible.
We convert fragmented CAD vectors, un-snapped spatial lines, and legacy GIS datasets into clean, properly connected network topologies ready for power flow and hydraulic solvers.
We build custom automated checking tools that scan your GIS data for orphaned assets, phase mismatches, snapping gaps, and topological errors to verify graph extraction before full integration.
We conduct data availability audits on SCADA and AMI meter time series (detecting timestamp drift and missing interval gaps), then fuse time-series readings directly onto graph edges to enable dynamic load propagation across network topologies if only flow is needed.
Based on your utility's needs, we offer a Free Initial GIS Evaluation to audit your spatial datasets, check graphability, and evaluate network topology conversion potential. For utility analytics and planning teams, we deploy a dedicated application for model accuracy monitoring that continuously tracks model precision, detects spatial graph drift, and validates sensor telemetry alignment.
Zero-cost audit performed on a representative subset of your GIS network layers to verify snapping tolerances, node continuity, and graph building feasibility.
Deploy a containerized monitoring application to constantly track model accuracy against SCADA and AMI sensor datasets for analytical planning.
Instant alert notifications when GIS asset changes or sensor anomalies degrade spatial graph precision or solver accuracy.
Designed for power distribution systems and municipal water infrastructure
High-speed bus-branch model generation, feeder tracing, phase connectivity resolution, and secondary LV grid graph extraction. Designed to feed power flow solvers instantly.
Convert complex CAD/GIS pipe layers into clean EPANET hydraulic graphs. Handles valve isolation zones, pressure reducing valves (PRV), pump curves, and reservoir head boundaries.
Perform timestamp synchronization audits, missing interval detection, and telemetry aggregation. Fuses live smart meter (AMI) streams directly onto spatial network graph edges.
We support standard simulation and modeling solvers for distribution network modeling—including target power system solvers, Pandapower, OpenDSS, and EPANET.
Advanced spatial topology modeling, distribution power system analysis, time-series processing, and municipal water graph analytics
We build mathematical distribution power system models directly from raw GIS geometry. Accurate topology serves as the essential building block for Smart Grids, enabling distribution system operators (DSOs) to run grid optimization, contingency analysis, and advanced operational automation.
We process continuous SCADA, AMI smart meter, and IoT sensor time-series streams. We build arithmetic calculations directly on top of network topology to aggregate downstream loads, compute power/water flows across graph edges, and analyze temporal demand profiles.
Our models feature custom versioning support that goes far beyond static current-state snapshots. We track full historical asset development, enabling back-in-time network model analysis across past timestamps both spatially and topologically.
Evaluate network headroom for Distributed Energy Resources (DER). We model Solar PV generation hosting limits, EV fast-charging impacts, and battery storage integration directly against local grid topology constraints.
Standalone hydraulic network graph analytics for municipal water utilities. We convert GIS pipe assets into EPANET-ready graph models for District Metered Area (DMA) pressure zoning, flow tracking, and sensor binding.
We perform geometric spatial proximity analytics, binding customer meters, transformers, and valves to network graph edges based on geodesic distance and spatial projection algorithms.
Our algorithms repair broken GIS geometries and infer missing infrastructure assets (such as virtual switch gear, junction nodes, and measurement locations) based on spatial topology rules. Delivered first as an audit and then as a permanent deployment.
Engine for routing between points in space based on multi-layer GIS inputs with complex spatial constraints. Used for planning new infrastructure polylines, right-of-way feeder corridors, and trenching pathways while avoiding physical or environmental obstacles.