From point cloud collections to usable information
Give your point clouds a defined delivery path
Turn an existing LiDAR backlog or a new collection into data your team can inspect, analyze, and use. FieldCraft Workforce coordinates capture providers, processing specialists, and review resources. Tech Maven Geospatial directs the technical workflow, from input checks to the agreed point-cloud products and access methods.
What we work toward
A usable result, with a clear handoff.
- Input assessment before processing commitments
- Separate criteria for visualization and analysis
- Documented quality and lineage at handover
The work
Scope analysis and access alongside the source data
Point-cloud delivery involves more than transferring large files. Classification, reference systems, required attributes, coverage, and intended analysis all influence whether a collection can support the next task. We assess a representative sample and define the work needed to prepare it. A viewer representation and a full-resolution analysis dataset may be separate deliverables. FieldCraft manages the people and dependencies; Tech Maven establishes technical checks, processing methods, and destination requirements for the selected workflow.
Collection assessment
Review formats, coverage, point attributes, classification, and reference information to identify suitability and remediation needed for the target use.
Preparation and organization
Scope file organization, format preparation, metadata, and corrections so collections can enter the agreed processing and review workflow.
Point-cloud quality review
Check agreed completeness, classification, registration, and attribute criteria, preserving evidence and known issues for technical and customer review.
3D access and visualization
Prepare the contracted scene or point-cloud access path and test its rendering, attributes, and interaction in the intended client.
Analysis and derived outputs
Define the analysis inputs, processing steps, reference checks, and deliverables for a selected corridor, facility, or asset-information task.
Deliverables
Agree what good looks like.
- Prepared point-cloud collection in agreed formats
- Coverage, attribute, and metadata inventory
- Quality report with documented exceptions
- Contracted analytical or derived outputs
- Tested access package and handover guidance
Scoping inputs
Start with what you know.
- Representative LAS, LAZ, COPC, or scene data
- Coordinate references, units, and control evidence
- Required analysis and point attributes
- Data volumes, destination, and intended users
Delivery approach
A clear path from scope to handoff.
Assess a sample
01
Inspect representative data, confirm its relationship to the project area, and identify gaps that affect the requested result.
Agree the products
02
Define analysis and viewing outputs, processing requirements, acceptance checks, and any corrections or additional inputs needed before production.
Prepare and validate
03
Coordinate processing and review, compare selected results with reference checks, and record lineage, exceptions, and corrective work.
Test and hand over
04
Verify the intended access and analysis workflow, provide supporting documentation, and complete acceptance with the designated customer owner.
Questions
Before we start.
Do we need to commission new LiDAR capture?
No. Existing collections can be assessed first. New capture is a separately scoped option when coverage, data quality, or required attributes cannot support the intended deliverable.
Is a 3D viewer the same as an analysis dataset?
No. A viewing representation may use derived content or levels of detail. We identify the source of analysis and specify any transformation or information loss separately.
Can you publish an existing scene package?
We can assess the package, layer type, and intended client, then scope publication and testing. Supported versions, access, performance expectations, and update behavior are established for that environment.
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 Data Engineering & Publishing
Connect existing imagery, vectors, point clouds, video-related information, and asset records to useful services and applications.
Reality Capture, SLAM and Gaussian Splats
Coordinate mobile and terrestrial scanning, SLAM capture, and Gaussian splat workflows around a defined facility or site need.
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