Remote embedded GIS analysts who work inside your PODS or UPDM data model, on your asset data. Geospatial data solutions for energy — pipeline integrity mapping, renewable siting analytics, and enterprise GIS delivered without field work, from raw survey and inspection data to production-ready layers.
To placement
Database alignment accuracy
Pipeline miles mapped
Industry challenges
The geospatial bottlenecks that slow asset integrity programs and delay siting and compliance decisions.
Alignment sheet generation stalls when centerline survey data, as-builts, and asset registers live in disconnected systems.
ILI runs and aerial survey imagery pile up unprocessed, delaying integrity assessments and repair prioritization.
Decades of acquisitions leave spatial data spread across incompatible schemas, coordinate systems, and platforms.
PHMSA and environmental regulatory submissions require attribute-complete spatial datasets that legacy records rarely provide.
Utility-scale solar and wind siting studies stall waiting on terrain, environmental, and transmission proximity layers to align.
Unstructured asset and inspection data prevents spatial risk models from identifying high-priority segments before failures occur.
What we deliver
Embedded analysts working in your enterprise data model, on your asset and inspection data — no field work on our side.
Primary service
Our engineers generate standardized alignment sheets from centerline survey data and as-built records, manage PODS and UPDM data models end to end, and digitize pipeline centerlines with full right-of-way corridor mapping. Every deliverable is built to plug directly into your enterprise asset management system.
RENEWABLE SITING
Utility-scale solar and wind projects live or die on siting accuracy. We run multi-criteria site selection combining terrain slope analysis, environmental constraint mapping, and transmission line routing analysis into ranked suitability layers — turning weeks of manual GIS work into a repeatable spatial analytics pipeline.
ASSET TYPES
PLATFORMS
ASSET INTEGRITY
Asset integrity programs depend on inspection data being spatially accurate and easy to interrogate. We process inline inspection (ILI) data, georeference drone and aerial survey imagery, and build visual anomaly maps cross-referenced with cathodic protection readings — so integrity engineers can prioritize repairs by location and severity.
SUPPORTED SYSTEMS
COMPLIANCE
Why GIS JOT
Our model fits one constraint: pipeline and grid GIS work cannot wait for a 6-month hiring cycle when integrity backlogs are already growing.
Structured matching against your data model and asset type. Productive from week one, no recruitment overhead.
Remote embedded analysts consistently cost less than equivalent hires — with no reduction in output quality.
JOT Complex Plugin automates bulk attribute management and alignment sheet drafting — up to 50% faster on pipeline documentation.
Every analyst placed has verified experience in midstream GIS, PODS/UPDM, or renewable siting — not generalist mapping backgrounds.
One analyst for an alignment sheet sprint or a multi-analyst team for a full data model migration. The engagement scales to the work, not the other way round.
One month before any long-term commitment. Replace at no extra cost if the match is not right in skills or toolset.
Analysts familiar with multiple national regulatory frameworks, coordinate systems, and regional pipeline standards.
Analysts operate under NDAs, use your access controls, and never transfer asset data outside your specified environment.
THE DATA DIFFERENCE
The gap compounds across every integrity assessment, siting decision, and regulatory submission.
| Siloed legacy data | Enterprise energy GIS | |
|---|---|---|
| Pipeline alignment sheets | ✕ Manually assembled from disconnected as-builts and survey files | ✓ Generated on demand from a unified PODS/UPDM asset database |
| Inspection data (ILI) | ✕ Spreadsheet-based review with manual station matching | ✓ Georeferenced anomaly layers cross-referenced with CP readings automatically |
| Renewable siting studies | ✕ Manual overlay of terrain, environmental, and grid data | ✓ Automated multi-criteria suitability scoring across all constraint layers |
| Environmental & PHMSA compliance | ✕ Manual data prep per submission; schema rework cycles | ✓ Compliant exports on demand; audit-ready attribute completeness reporting |
| Predictive risk modeling | ✕ Risk ranking driven by age lists, not spatial condition data | ✓ Spatially optimized risk models by corrosion zone, inspection history, and proximity |
| GIS team cost & speed | ✕ 4–6 month hire; high total employment cost | ✓ Analyst placed in 1–2 weeks, 30–40% lower cost, scalable |
Common questions
Ready to start
Tell us your data model, your backlog, and your target output. We match you with an analyst who has done exactly this work — inside your tools within 1–2 weeks.
Response within 48 hours · EU, UK, Middle East, North America · Risk-free trial month