Have a question?
Talk to us about what you’re trying to understand or solve.

ONTOLOGY-DRIVEN KNOWLEDGE TWIN SOLUTIONS
Nextspace connects asset, engineering, spatial, operational and document information in a trusted Knowledge Twin. This gives teams the context to solve problems across the infrastructure lifecycle.
Apply the same connected foundation to AI, engineering, maintenance, operations and brownfield digitisation – while keeping the specialist systems you already rely on.
Unify information
Critical asset information is spread across engineering systems, GIS, maintenance platforms, documents and other sources. Each holds part of the picture.
Nextspace connects this information in a shared Knowledge Twin, helping teams understand assets, systems and their relationships – while keeping existing systems authoritative.
Integrate with your existing systems and keep them authoritative.
Understand how assets, systems and information are connected.
Give everyone a consistent, trusted view of the same information.

No. Nextspace connects information from existing systems without requiring everything to move into one replacement system. The Knowledge Twin brings those sources together in a shared context of assets, systems and relationships.
Yes. Different systems can remain the authoritative source for their own information, while Nextspace connects that information into a shared asset context.
Asset records, engineering models and drawings, GIS and spatial data, maintenance information, operational data, documents and spreadsheets can all contribute to the connected view. The sources and integration approach depend on your environment.
Powered by: Knowledge Twin Platform
Trusted AI
AI is more useful when it understands what information describes, how it connects and where it comes from.
Nextspace Datalab and Ask Nextspace use the trusted information and relationships in your Knowledge Twin to give AI that context.
Answers are based on your trusted, connected information.
Domain expertise stays in control, with full visibility and oversight.
See the sources, relationships and provenance behind AI responses.

Example response
The work order is linked to Pump A’s asset record, assembly drawing and maintenance history. Review these together to understand the equipment and its previous maintenance before planning the replacement.
Pump A Replacement Work Order · Pump A Asset Record · Pump A Assembly Drawing · Pump A Maintenance History
AI needs context to understand what information refers to, how it relates to other information and where it came from. A Knowledge Twin connects those relationships and sources so teams can review the basis of a response.
Talk to us about AI model and deployment options that fit your environment, security requirements and use case.
Powered by: Knowledge Twin Platform · Datalab · Ask Nextspace
Engineering
Engineering information is most useful when it connects to the assets, systems and changes it describes.
Nextspace brings drawings, documents, models and asset information together in spatial context. Engineers can navigate from an asset to its supporting information and review proposed changes before they become part of the trusted Knowledge Twin.
Move from asset to all relevant information.
Bring together 2D, 3D, documents and models.
Track and review changes before they become trusted information.

Yes. Nextspace connects engineering drawings, models, documents and asset information while allowing specialist engineering systems to remain authoritative.
Powered by: Knowledge Twin Platform · Datalab · Ask Nextspace
MAINTENANCE & RELIABILITY
A work order rarely tells the whole story. Nextspace connects it with the asset’s location, engineering documents, maintenance history and operational context.
Planners and field teams can use the same trusted information to understand what needs attention and prepare before work begins.
Quickly identify and understand the correct asset.
See related maintenance, operational and engineering history in one place.
Solve issues faster and avoid unnecessary return visits.

No. Your CMMS can continue to manage maintenance workflows. Nextspace connects it with asset, engineering, document and spatial information so teams can see the wider context.
Yes. Connecting maintenance records to assets and locations helps teams see where work is needed and understand the nearby equipment and information that may be relevant.
Nextspace Maintenance is an emerging specialist solution. Talk to us about current availability and whether it is appropriate for your workflows.
Powered by: Knowledge Twin Platform · Maintenance integrations
Operations
Operational data is more useful when it connects to the assets, systems and locations behind it.
Nextspace brings live and historical operational information into the Knowledge Twin, helping teams understand status, events and alerts alongside engineering and maintenance context.
Integrate live and historical data from your systems.
Visualise events and status in spatial context.
Link operational events to assets, maintenance and engineering information.

Yes, where the source systems and integrations support it. Nextspace connects live operational information to the assets it affects, alongside engineering, maintenance and spatial context.
Yes. Linking events and alerts to assets and locations helps operators understand where something is happening alongside relevant engineering and maintenance information.
No. Specialist operational tools can continue to manage their core functions. Nextspace connects their information with asset context so teams can interpret events and decide what to investigate.
Powered by: Knowledge Twin Platform · Operational integrations
Brownfield digitisation
Brownfield information often spans decades of drawings, documents, models and systems, with varying standards and levels of completeness.
Nextspace connects these sources around your assets, helping teams identify gaps, reconcile information and build a trusted Knowledge Twin – without waiting for perfect data.
Bring together different formats, standards and levels of completeness.
Explore emerging AI capabilities for extracting information from P&IDs.
Review and reconcile information before it becomes part of the trusted Knowledge Twin.

Nextspace is developing AI-assisted P&ID extraction to turn engineering drawings into structured information. Teams review and validate the results before adding them to the Knowledge Twin.
Beta / Coming soonYes. Start with the information you have. Connecting records and documents helps reveal gaps, inconsistencies and relationships so teams can review and improve the information over time.
Nextspace is developing P&ID Intelligence to help identify and extract information from P&IDs. Talk to us about current availability and suitable drawing types. Extracted information must be reviewed and validated before it becomes trusted Knowledge Twin context.
Powered by: Knowledge Twin Platform · P&ID Intelligence
One connected foundation
Every Nextspace solution builds on the same Knowledge Twin foundation. Start with the problem that matters most, then extend the connected information into new workflows.
Connected data · Ontology & relationships · Spatial context · 3D / 2D / GIS · Governance · Datalab · Ask Nextspace · APIs & integrations
Designed for enterprise and critical infrastructure environments.
Start with one use case and extend across assets, systems and teams.
Connect existing enterprise systems without replacing what already works.
Maintain provenance, oversight and control as information and AI use expands.

LET’S TALK
Tell us about an asset, project or information challenge. We can explore where Nextspace could help, and what a practical first step might look like.
REAL ASSETS.
CONNECTED CONTEXTS.