01 · Strategic Advisory
Geospatial strategy for the AI era
Location intelligence programs fail more often from unclear strategy than weak technology. We help leaders decide what to build, buy, or license — and how AI genuinely changes the calculus.
Increasingly, that means executive counsel on AI itself. A successful AI rollout is a coherent strategy — not simply letting everyone access AI. We help executives plan for AI-accelerated timelines, build the capacity inside teams to actually leverage AI, and govern token spend against outcomes — packaged in the traditional timelines and budgets boards already understand.
- AI adoption strategy — a coherent rollout, not open access and hope
- Delivery planning that prices AI-accelerated timelines honestly
- Team capacity building so AI leverage compounds beyond the pilot
- Token-spend governance tied to business outcomes
- Geospatial data program roadmaps and governance
- Build / buy / license evaluations for data and platforms
- Executive counsel grounded in current practice, not slideware
“Every recommendation is one we've implemented ourselves — in production, inside enterprise environments like yours.”
02 · Geospatial Data Engineering
Fragmented sources, governed layers
Authoritative data — natural hazard studies, parcel and infrastructure records — lives scattered across thousands of agencies, portals, and formats. We engineer agentic pipelines that discover, evaluate, acquire, and standardize it at jurisdiction scale.
In global insurance, this practice pairs agentic sourcing with Databricks engineering — ingesting natural hazard data at scale and harmonizing it into governed, analysis-ready layers that feed enterprise risk decisions.
- Agentic discovery and evaluation of public and commercial sources
- Normalization of heterogeneous formats into governed layers
- Distributed raster and vector processing — spatial joins across billions of rows at sub-hour runtimes
- Hazard and exposure analytics engineered to decision-readiness
- Continuous refresh — pipelines, not one-off deliveries
03 · Solutions Architecture
Systems designed to outlast the engagement
Geospatial workloads have outgrown the desktop and the single server. We architect the systems that carry them: cloud-native, lakehouse-ready, integrated with the applications your analysts already live in — and designed for your stack, not a vendor's. Correctness is a gate, not an afterthought — we validate to numerical parity, because a pipeline that's fast but wrong is just wrong faster.
For the Port Authority of NY & NJ, MapGuru consulted at the chief engineer level on field data collection — building the apps PANYNJ crews use to report concrete spalling on the Port Authority's bridges, so inspection data lands in the enterprise GIS the moment it's captured.
- Cloud and lakehouse architecture for spatial workloads
- Enterprise geospatial application integration and APIs
- Field data collection systems — mobile apps that put the map in field crews' hands and their observations into your platform
- Spatially aware AI — agent tooling and LLM workflows grounded in authoritative geospatial data
- Agentic system architecture — multi-agent orchestration, memory and retrieval design, model routing, and cost governance
- Platform evaluation across commercial and open-source ecosystems — from Databricks and Esri to cloud-native spatial engines
- Spatial data modeling, indexing, and performance engineering
Experience earned inside the industry's leading cloud geospatial platforms — not just alongside them.
04 · Staffing & Team Development
Capability that stays when we leave
There is not enough geospatial talent in the market to handle the glut of data organizations now hold — and people who combine geospatial, cloud, and agentic AI are the scarcest profile in the industry. Technology is the easy half. We help you build the team that runs it — from defining the roles and finding the people to embedding senior expertise while your bench comes up to speed.
- Geospatial talent strategy, role design, and hiring support
- Embedded senior expertise on a fractional basis
- Team capability assessments and growth roadmaps
- Mentoring and upskilling for GIS and data engineering teams
Sector experience
- Property & specialty insurance
- GEOINT & national security
- Maritime & commercial shipping
- Electric utilities & telecom
- State & local government
