Most labeling vendors can’t operate where the data lives
Commercial labeling stacks assume cloud SaaS, offshore workforces, and data that travels – assumptions your accreditation boundary rejects on page one.
Geospatial, ISR, and text intelligence annotated by a vetted workforce – with deployment models built for classified environments.
Talk to usThe conditions that separate a durable data operation from a one-off labeling project.
Commercial labeling stacks assume cloud SaaS, offshore workforces, and data that travels – assumptions your accreditation boundary rejects on page one.
The object classes that matter most are the ones with the fewest examples – and sampling-based QA never looks at enough of them.
Cleared analysts are the most expensive labeling workforce in existence, and routine annotation consumes hours meant for interpretation.
Label satellite, aerial, full-motion video, and text intelligence securely.
Deploy on-premise or air-gapped with vetted personnel and custody records.
Apply consensus review, gold standards, and item-level audit trails.
Expose where mission models are blind – error analysis and red-team evaluation sets.
The loop runs inside your perimeter, and every stage leaves a record your audit can follow.
Deployment model, personnel vetting, and data-handling rules agreed with your security team before any data moves.
Gold sets built with your subject-matter experts; reviewer accuracy measured against them before production begins.
Detection, tracking, and text-intelligence labeling at volume – inside your enclave, with chain of custody on every asset.
Object-level error analysis identifies weak classes; the next annotation tasking targets those gaps.
The whole data pipeline runs inside your perimeter and answers to your audit.
Talk deployment firstPlatform, experts, and workflows – unified in one secure infrastructure.