Asset information
Connect visible assets to records your team can review.
Turn imagery, video, and other suitable source collections into structured asset information. FieldCraft Workforce coordinates tagging and review teams, while Tech Maven Geospatial defines the schemas, technical methods, and GIS connections. Support an enterprise inventory, an inspection workflow, or the downstream deliverables of a capture project.
What we work toward
A usable result, with a clear handoff.
- Asset records connected to source evidence
- Consistent tagging against an agreed schema
- Uncertain observations routed for human review
The work
Keep the asset connected to its evidence.
An asset record is more useful when a reviewer can understand its source and how it was created. We scope identification, labeling, attributes, location association, and verification around the collection and intended handover. Existing imagery and records can be the starting point. For asset owners and capture firms alike, the workflow makes uncertain observations visible and separates model-assisted suggestions from reviewed information prepared for customer acceptance.
Asset identification and labeling
Define the asset classes and tagging rules, then organize identification and labeling work around suitable imagery, video, or other agreed source material.
Attribute capture and verification
Populate agreed fields from the available evidence and review them for consistency. Flag information that cannot be reliably determined from the source.
Oriented-imagery workflows
Connect observations from oblique imagery to the appropriate map and record workflow, using available orientation information and project-defined positioning and review requirements.
Video review and extraction
Scope map-linked video review, feature extraction, digitizing, or model-assisted detection where the footage and supporting metadata meet the requirements of the selected workflow.
Human review of automated output
Use reviewers to assess suggested detections or labels, correct assigned issues, and distinguish accepted records from uncertain or rejected results.
Asset-system handover
Prepare reviewed information for the agreed GIS, inventory, or asset workflow, including identifiers, source references, attributes, and the required handover structure.
Deliverables
Agree what good looks like.
- An asset schema and tagging guide
- Tagged source material or structured observations
- Reviewed asset records and attributes
- Source-to-record references
- An uncertainty and exception queue
- A defined GIS or asset-data handover
Scoping inputs
Start with what you know.
- Source collections and available orientation or location information
- Target asset classes and required attributes
- Existing identifiers, schemas, and destination systems
- Review rules and customer acceptance requirements
Delivery approach
A clear path from scope to handoff.
Define the record
01
Agree the asset classes, identifiers, fields, evidence, and intended system handover. Review source suitability and decide how uncertain observations will be handled.
Tag and associate
02
Identify assets, capture agreed attributes, and connect observations to source references and the required location or record association within the scoped workflow.
Verify and correct
03
Review tags, attributes, and links. Correct supported errors and route ambiguous records to the designated decision owner instead of treating uncertainty as fact.
Prepare the handover
04
Deliver reviewed records, supporting references, and unresolved exceptions in the agreed structure. Confirm any publication or integration work needed for operational use.
Questions
Before we start.
Can you work with imagery we already own?
Yes. Existing imagery is a valid starting point. We assess visibility, supporting information, permitted use, and the attributes you need before defining the tagging and review scope.
Is tagging from imagery the same as a survey?
Tagging identifies and structures observations from the available evidence. Positioning requirements and the appropriate capture or survey inputs must be defined separately for the intended use and acceptance criteria.
Can AI-assisted tagging be included?
Yes, when suitable for the project. Tech Maven scopes the technical method, and FieldCraft coordinates the human review capacity. The plan defines how suggestions are checked, corrected, and accepted.
Connected services
Build the right scope around the work.
Geospatial Data QA & Cleanup
Give existing collections, incoming vendor deliverables, and production backlogs a defined path through checks, corrections, and acceptance.
Geospatial Staffing & Managed Teams
Bring GIS technicians, reviewers, asset taggers, data engineers, and project resources into the work that needs them.
Geospatial Data Engineering & Publishing
Connect existing imagery, vectors, point clouds, video-related information, and asset records to useful services and applications.
Start a conversation
Bring one project. Define the next step.
Tell us what you have, what needs to work, and where delivery is getting stuck. We will help define the people, work packages, and technical path around that outcome.
Existing data · New capture · Managed teams · Ongoing support