Source-linked findings with human review
Turn imagery and video into reviewed asset information
Connect imagery and UAS or aircraft video to the findings your team needs. FieldCraft Workforce resources analysts, asset taggers, and QA supervision. Tech Maven Geospatial directs map-linked video, feature extraction, and model-assisted workflows, with human review and source evidence built into the agreed delivery process.
What we work toward
A usable result, with a clear handoff.
- Human review attached to automated findings
- Traceability to images and video timestamps
- Review capacity scoped from representative material
The work
Define an accepted finding before building the review queue
A detection is only one step toward a usable record. The workflow must establish what the asset is, which attributes matter, where the evidence came from, and how uncertainty is handled. We begin with a representative collection and a defined asset taxonomy. FieldCraft manages reviewer capacity, queues, and corrections; Tech Maven defines tooling, technical instructions, and quality criteria. The final deliverable can include reviewed features, annotations, or asset records in the agreed destination.
Map-linked video
Assess footage and geospatial metadata, then scope map alignment, playback, and analyst access for the selected collection and use case.
Feature extraction and digitizing
Identify and record agreed features from imagery or video, with required geometry, attributes, and links to supporting evidence.
Model-assisted analysis
Scope detection, tracking, or video-understanding tasks against representative inputs, with model outputs routed through the defined review process.
Human review and tagging
Coordinate calibrated reviewers and supervisors to verify labels, correct records, resolve exceptions, and document the status of each output.
Delivery reconciliation
Check IDs, required fields, geometry, and evidence links before preparing accepted records for the target GIS or asset workflow.
Deliverables
Agree what good looks like.
- Agreed asset taxonomy and review instructions
- Reviewed features, annotations, or asset records
- Source image links or video references and timestamps
- Quality evidence and unresolved-exception register
- Publication or transfer package in agreed formats
Scoping inputs
Start with what you know.
- Representative imagery or video and metadata
- Asset classes and required attributes
- Reference examples and uncertainty rules
- Media volumes and target delivery environment
Delivery approach
A clear path from scope to handoff.
Define the record
01
Agree the asset classes, evidence requirements, required fields, review criteria, and destination for an accepted unit of work.
Calibrate the workflow
02
Test tools and reviewer instructions on a sample, assess input limitations, and estimate review effort before scaling the queue.
Extract and review
03
Run the contracted extraction tasks, verify findings, correct records, and route uncertain or incomplete evidence for a documented decision.
Reconcile and deliver
04
Check the final records against the agreed schema and quality process, preserve source links, and complete customer acceptance.
Questions
Before we start.
Can every video be placed accurately on a map?
No. Map alignment depends on the footage and available geospatial metadata. We assess synchronization and location suitability before defining the supported workflow or any required remediation.
Does automated detection replace human QA?
Model assistance is scoped separately from accepted results. Reviewers verify findings and resolve exceptions under agreed criteria; any accuracy or productivity targets require representative validation.
Can we supply our own tools or existing annotations?
Yes. We assess access, formats, schema, and review requirements, then define the staffing, technical integration, and correction work needed to deliver through your selected workflow.
Connected services
Build the right scope around the work.
Geospatial Asset Tagging & Human Review
Turn imagery, video, and other suitable source collections into structured asset information.
Geospatial Staffing & Managed Teams
Bring GIS technicians, reviewers, asset taggers, data engineers, and project resources into the work that needs them.
Geospatial Data QA & Cleanup
Give existing collections, incoming vendor deliverables, and production backlogs a defined path through checks, corrections, and acceptance.
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