Full-time annotators on US payroll, working in US infrastructure, under documented chain of custody. Built for defense-adjacent, federal, healthcare, and critical-infrastructure projects where offshore labeling isn't an option.
On infrastructure asset classes, validated per delivery
Every annotator is a W-2 US employee with a documented background check. No data crosses borders. Full audit trail from capture to delivery.
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.
CVAT deployed in our US-only environment, optionally inside your VPC. SOC2-aligned controls; ITAR-compliant workflows available on request.
Chain of custody, reviewer credentials, and audit logs structured to survive federal contracting reviews. Reviewer CVs available on request.
GeoJSON, COCO, KITTI, Mapillary, or your custom schema — with the metadata federal and regulated contracts require.
No vague discovery phase. You bring four or five things, we return a specific plan you can evaluate.
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.
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.
{
"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"
}
}No open-ended retainers. No "discovery phases" that bill for months without producing anything you can evaluate.
50-100 frames, your schema, your edge cases. We return a calibration set so you can see how we interpret your taxonomy before scale.
500 samples in 2-4 business days. Inter-annotator agreement scores, QA dashboard, format in your pipeline (GeoJSON, COCO, KITTI, Mapillary).
Production volume with SLA. 24/7 follow-the-sun capacity, 98%+ QA target, weekly delivery cadence.
Wire into your training pipeline, deploy custom validation rules, build out edge case mining. Optional embedded team.
These open the real, interactive demos on our main site — not screenshots, not videos. Click around before you decide to talk to us.
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.
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.
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.
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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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.
Start an annotation pilot