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See the work before you contract
Send 25-50 representative frames. We label them at our cost, return the output and a per-class QA scorecard. You decide whether to scope a pilot after you have seen the labels, not before.
US Data Annotators
US-only geospatial annotation for sensitive spatial data
Full-time US annotators, US infrastructure, NDA-first intake, and documented chain of custody for federal, defense-adjacent, healthcare, litigation, and critical-infrastructure work.
US employees and US infrastructureChain-of-custody reviewNot commodity labeling
How we keep the first step easy
Three commitments that come standard
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Per object or per hour, your call
Bill per labeled object when scope and volume are predictable. Bill per labeling hour when the workflow is exploratory or the schema is still firming up. Both models are on the table from the first scoping call.
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Your labeling platform, our labor
We operate in CVAT, Labelbox, Roboflow, V7, Scale AI workflows, and most in-house labeling stacks. No platform migration on your end. If you have a custom tool, we learn it on the pilot.
The status quo
Why teams come to us specifically for US-based annotation
- ITAR, federal, and defense-adjacent projects cannot send data offshore
- Anonymous task-platform workers create chain-of-custody gaps regulators flag
- Offshore quality drift compounds when nobody owns the same project beyond a quarter
- Healthcare and PHI-adjacent imagery requires US-only handling under HIPAA
What we deliver
What we deliver, US-only
98%F1 target
On infrastructure asset classes, validated per delivery
Domestic Chain of Custody
Every annotator is a W-2 US employee with a documented background check. No data crosses borders. Full audit trail from capture to delivery.
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Same-Team Continuity
The annotators on your project this month are the same annotators on it next year. No rotating gig workers, no offshore handoffs that break institutional knowledge.
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Secured US Infrastructure
CVAT deployed in our US-only environment, optionally inside your VPC. SOC2-aligned controls; ITAR-compliant workflows available on request.
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Federal-Ready Documentation
Chain of custody, reviewer credentials, and audit logs structured to survive federal contracting reviews. Reviewer CVs available on request.
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Schema-Ready Delivery
GeoJSON, COCO, KITTI, Mapillary, or your custom schema — with the metadata federal and regulated contracts require.
Proof-led positioning
What this page needs to make obvious
US data annotation, onshore geospatial annotation, secure GIS labeling, and sensitive imagery annotation.
US employees and US infrastructure
Designed for buyers that cannot send imagery or GIS records through offshore labeling pipelines.
Chain-of-custody review
Data intake, reviewer assignment, QA events, and delivery notes are documented for sensitive handoffs.
Not commodity labeling
Best fit for regulated, defense-adjacent, litigation, healthcare, utility, and infrastructure datasets where process matters.
Proof workflow
Input, review, evidence, output.
Modeled on the live Geospatial Solutions demos: the page should show what the buyer sends, what they review, what evidence stays visible, and what they receive.
Input
Sensitive imagery, GIS vectors, LiDAR, redacted examples, security constraints, and required delivery format.
Review surface
US-based reviewers work against written rules with audit trail, QA checks, and explicit acceptance boundaries.
Evidence
Data handling notes, reviewer actions, QA flags, and delivery records stay attached to the work.
Output
US-handled annotation package with reviewed labels, QA logs, manifest, and agreed export format.
Source and limits
Technical trust should stay visible.
Confidence
Process visibility is the core value, not unsupported compliance claims.
Caveat
Formal certification requirements should be scoped before data transfer.
Source
Customer-owned imagery, LiDAR, GIS vectors, redacted records, and sensitive infrastructure layers.
QA boundary
NDA-first intake, US-only handling path, reviewer logs, QA status, and delivery audit trail.
Export path
Redacted samples, reviewed datasets, QA logs, delivery manifest, and GIS-ready files.
Before the first call
What you send · What you get
No vague discovery phase. You bring four or five things, we return a specific plan you can evaluate.
→ What you send
- 1A representative sample (50-500 frames) from your imagery source
- 2Target feature classes and geometry types (point, line, polygon, mask)
- 3Required output format (GeoJSON, COCO, KITTI, Mapillary, custom)
- 4Approximate volume, deadline, and accuracy requirement
- 5Security or NDA constraints (we sign mutual NDA up front)
← What you get back
- 1Calibration set with QA scores returned in 2-4 business days
- 2Documented edge-case log with our interpretation of every ambiguous class
- 3Schema-locked production scope with per-frame pricing
- 4Inter-annotator agreement report (kappa, F1 by class)
- 5Sample report with feature layer, QA notes, and exports
Class library
83 documented asset classes across 4 categories
Every class has a labeled definition, edge-case examples, and QA rules calibrated against authoritative GIS databases. Add custom classes during pilot and we extend the taxonomy.
Road infrastructure
28 classes
- Pavement markings
- Striping (single, double, dashed)
- Crosswalks (all types)
- Lane lines (direction-aware)
- Stop bars + yield triangles
- Road boundaries + shoulders
- Surface condition cues (cracking, raveling, rutting)
Asset geolocation
34 classes
- Traffic signs (R-series, W-series, MUTCD-compliant)
- Traffic signals + pedestrian heads
- Utility poles (wood, concrete, steel)
- Streetlights + cobra heads
- Guardrails + crash cushions
- Barriers (Jersey, K-rail, temporary)
- Manholes + catch basins
- Fire hydrants + valves
Training data extraction
12 classes
- Object detection bounding boxes
- Semantic segmentation masks
- Instance segmentation
- Polygon classification
- False-positive cleanup pass
- False-negative recovery (hard-negative mining)
GIS delivery formats
9 classes
- GeoJSON (QGIS / ArcGIS native)
- COCO (training-ready)
- KITTI (AV-research convention)
- Mapillary (street-level standard)
- OpenStreetMap-ready attributes
- Custom JSON schemas
- PostGIS direct write
- Shapefile (legacy support)
Sample deliverable
A single feature, as you would receive it
Every label is a complete GeoJSON feature with geometry, class, confidence, QA trail, and source provenance. Loads directly into your map, your trainer, or your validator — no conversion script.
json
{
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [[[ -77.0364, 38.8951 ], ...]]
},
"properties": {
"class": "crosswalk",
"class_id": "CW_001",
"mutcd_type": "continental",
"confidence": 0.97,
"qa_status": "approved",
"qa_reviewer": "annotator_03",
"qa_timestamp": "2024-08-15T14:23:17Z",
"source_frame": "frame_847.jpg",
"capture_timestamp": "2024-08-12T11:18:04-04:00",
"schema_version": "gss-roads-v2.4"
}
}Deliverables
What you walk away with
- Labeled dataset in your preferred format (GeoJSON, COCO, KITTI, Mapillary, custom)
- QA dashboard with per-annotator scores and inter-annotator agreement
- Documented taxonomy and edge-case handling guide
- Production SLA option or pilot-only delivery — your choice
How we work
A scoped path from sample data to running system
No open-ended retainers. No "discovery phases" that bill for months without producing anything you can evaluate.
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01
Sample
50-100 frames, your schema, your edge cases. We return a calibration set so you can see how we interpret your taxonomy before scale.
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Pilot
500 samples in 2-4 business days. Inter-annotator agreement scores, QA dashboard, format in your pipeline (GeoJSON, COCO, KITTI, Mapillary).
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03
Scale
Production volume with SLA. 24/7 follow-the-sun capacity, 98%+ QA target, weekly delivery cadence.
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Integrate
Wire into your training pipeline, deploy custom validation rules, build out edge case mining. Optional embedded team.
Live on geospatialsolutions.co
Click into the actual work
These open the real, interactive demos on our main site — not screenshots, not videos. Click around before you decide to talk to us.
Why teams trust us
- 100% W-2 US employees — no offshore subcontractors, no anonymous gig workers
- Documented domestic chain of custody on every deliverable
- ITAR-compliant workflows available; SOC2-aligned controls
- Operated by Geospatial Solutions LLC — Washington, DC
Questions teams ask before they engage us
Common questions, answered honestly
Are you ITAR compliant?
We operate ITAR-compliant workflows for clients who need them. All annotators are US persons (citizens or permanent residents). Infrastructure operates entirely within US borders. We can configure deployment to meet specific ITAR or federal contracting requirements during project setup, including in-VPC deployment in client environments.
How does your pricing compare to offshore annotation?
Roughly 2-3x offshore per-frame rates. The premium covers W-2 employment, US infrastructure, documented chain of custody, and the elimination of the hidden rework cost that comes from offshore quality drift. For projects where offshore isn't viable (ITAR, federal, HIPAA), the relevant comparison is to building an in-house team — we're significantly cheaper than that path.
What kinds of projects fit best?
Defense-adjacent and federal contracting work. Critical infrastructure (energy grid, transportation networks, telecom). Healthcare imagery with PHI exposure. Litigation evidence and regulatory submissions. Any project where the consumer of the annotation needs documented chain of custody from US-based labor.
Do you offer security-cleared annotators?
Yes for specific projects. We have annotators with active clearances available for cleared work, and we can sponsor or sustain additional clearances for long-term engagements. Discuss specific clearance levels (Public Trust, Secret, etc.) during project scoping. Standard projects don't require clearance — we offer it where the work calls for it.
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Start a US-based annotation pilot
Send us 500 frames. Get a labeled pilot in 2 days.
No purchase order, no master service agreement. Send a representative slice and a target schema; we return the labels in the format your pipeline already ingests.
Request US-only annotation intake