Solutions
Three pillars
Your asset information is fragmented, inconsistent or hard to trust. GIS, BIM, digital twins and AI all promise value but rarely connect. We shape a data strategy aligned to geospatial standards, unify your systems into a single source of truth, and establish asset registries that are scalable, secure and auditable from day one.
Sustainability reporting feels abstract and hard to validate, and capital decisions rest on incomplete data. We bring geospatial evidence into ESG reporting, apply spatial finance to sharpen risk and investment decisions, map vulnerability and resilience, and show where biodiversity net gain can genuinely be achieved.
Transformation stalls when training is disconnected from real work, roles are undefined, and progress disappears the moment a project ends. We design learning that links directly to outcomes, align stakeholders around a shared purpose, and shape the structures that make change stick.
Digital twins
Created once. Used many times.
ISO 19650 · ISO 19100A digital twin is only as good as the information behind it. We build the information first.
Integration between GIS and BIM or CAD at technical, process, discipline and data levels — so spatial and design environments actually connect, and data exchange stops being a monthly argument.
CDE strategy, deployment and training aligned to the ISO 19650 series — including Autodesk Construction Cloud and Esri ArcGIS GeoBIM, and the major platforms besides.
Connecting platforms and disciplines into one digital ecosystem. We did exactly this for London Underground, linking GIS to IBM Maximo for asset and maintenance planning.
Services
We define how GIS, CAD, survey and remote sensing support your asset management goals — reducing project delays, improving maintenance planning, extending asset life. You get an actionable roadmap, a high-level business case and executive-ready slides.
A Spatial Data Infrastructure (SDI) is the plumbing — the policies, standards, services and governance that let data be found, trusted and reused across an organisation or a whole country. We design and implement SDIs aligned to the ISO 19100 series, OGC services and the INSPIRE Directive, with the metadata (GEMINI, ISO 19139) that makes data discoverable rather than merely stored.
GeoAI — geospatial artificial intelligence — applies machine learning to imagery, point clouds and location data: detecting change across a site, classifying assets from aerial survey, predicting where failure or risk will concentrate. It only works on well-governed data, which is the same lesson as digital twins.
Esri ended support for ArcMap in March 2026. Existing licences still run, but there are no new features and no regular patches. We make the move to ArcGIS Pro seamless and future-proof — data, workflows, symbology and the people who use them.
Tutor-led virtual courses in GIS set-up, geospatial strategy, data standards, public asset registers, ESG and spatial finance, and BIM-GIS integration — plus bespoke workshops.
Standards
The international framework for geographic information — how geospatial data is structured, described and exchanged so GIS, mapping and Earth observation systems can actually talk to each other. It is also the foundation every Spatial Data Infrastructure is built on.
Metadata and data quality (ISO 19115, ISO 19157) · Encoding and web services (ISO 19136, ISO 19142) · Reference model (ISO 19101)
The global standard for managing building and infrastructure information using BIM. We have over a decade of experience teaching and implementing these standards — formerly the UK BS and PAS 1192 suite, now the six parts of ISO 19650 — and we support organisations seeking certification.
Delivery phase (ISO 19650-2) · Operational phase (ISO 19650-3) · Security-mindedness (ISO 19650-5)
Combined, the two series are what lets infrastructure and building models meet geospatial data — which is where digital twins and smart cities actually become possible. We also advise on the ISO 27000 series for information security, ISO 9000 for quality and ISO 8000 for data quality.
Sectors
Auditable asset registries, estate transparency and digital transformation across public land and buildings.
BIM, digital twins and integrated data across the supply chain, to deliver complex projects faster and safer.
Rail, highways and transit networks planned and run with geospatial data, twins and predictive analytics.
Network and critical energy assets in one trusted framework, ready for the low-carbon transition.
Analytics and digital records that cut cost, support ESG compliance and unlock long-term estate value.
Secure, auditable asset frameworks for critical national infrastructure where compliance is non-negotiable.
Standards-based data environments that protect sensitive information and ensure operational readiness.
Mapping assets and monitoring performance across complex, high-demand hubs under constant pressure.
GIS, remote sensing and analytics for biodiversity net gain, land use and climate resilience planning.
Spatial finance, geospatial risk models and satellite-derived insight for capital allocation and exposure.
Frameworks, training and audit-ready processes that scale best practice in data and digital.
Structured, role-based learning and capacity building that embeds geospatial culture and capability.
Answer 25 questions and we will send you a free personalised report on your organisation's geospatial maturity — what is working, where the gaps are, and what to do first.

We help clients improve infrastructure and property asset management, as well as projects, using geospatial insight and digital tools. Through GIS, location intelligence, digital twins, AI and systems thinking, we enable better decisions and deliver real-world outcomes.

We are BSI Associate Consultants, certified in ISO 19650, ISO 55000, and experienced across ISO 19100, 27001, 9001, 8000, and the EU INSPIRE Directive.
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