Clinical Imaging
Includes radiologists and clinicians, not general annotators reading from a glossary.
A platform & team of experts behind it.
LabelFort is data annotation software you can run yourself. It's also a team of domain-trained experts you can hire to run it for you - radiologists behind medical imaging work, financial specialists behind KYC and fraud data, lawyers behind contract review. Whichever way you use it, the work is backed by people who understand what they're actually labeling.
Any company can draw a box around an object. Very few can show you the audit trail, the reviewer credentials, and the certifications behind it.
Proven at scale
150M+ documents annotated. Zero shortcuts on compliance.
150M+
Documents annotated
>0.90
Contracted IAA threshold
>98%
SLA adherence
100%
Immutable audit trail
The right team for the work
Not every annotation task needs the same expertise, and hiring the wrong team for the job is how quality problems start downstream - a mislabeled bounding box on a street scene is an inconvenience, the same mistake on a radiology finding is a different category of problem.
Financial & Regulatory
Financial and compliance specialists who already understand the regulatory vocabulary they are reading.
Legal & Compliance
Trained on the specific document types a legal workflow produces, not a generalist template applied equally to everything.
Geospatial & Public Sector
Works under the residency and access controls government procurement specifies, mapped during the Compliance Review before any data moves.
Computer Vision & Perception
Annotators trained on the specific geometry a perception model needs - bounding boxes, segmentation, keypoints, and 3D.
How assignment works
LabelFort assigns by domain first, task second - so the people working your data already understand what they're looking at before the first label goes down.
The right expertise for the task
The same technique means something different depending on what it's applied to. A bounding box drawn around a car and a bounding box drawn around a tumor are the same geometry and a completely different job.
Here's how task and domain pair up on a hired team.
- Bounding boxes & segmentation
- On medical imaging
- Clinical imaging team
- Structured field extraction
- On financial documents
- Financial & regulatory team
- Entity extraction
- On contracts & case files
- Legal & compliance team
- 3D cuboids & video tracking
- On driving scenes
- Computer vision & perception team
- Aerial imagery & policy document extraction
- On public sector data
- Geospatial & public sector team
Why these teams stand out
Certified controls, the same for every team
- ISO 27001:2022
- SOC 2 aligned
- HIPAA ready
- GDPR
- DPDP ready
ISO 27001:2022 certified, SOC 2 aligned, HIPAA ready, GDPR compliant, DPDP ready. A BFSI team and a healthcare team work under the same certified controls, not two different standards depending on the sector.
5Frameworks, one standard
Accuracy that's measured, not asserted
- Per-cohort IAA
- Your own dataset
- Guideline adjudication
Inter-Annotator Agreement is validated on your own dataset, scored per cohort so it reflects how consistently a guideline is applied across the whole team. Disagreements go to adjudication against the written guideline, not a majority vote, and the adjudicator's reasoning becomes part of the permanent record.
>0.90Contracted IAA threshold
Employed, not crowdsourced
- LabelFort employees
- Trained on your ontology
Annotators are employed by LabelFort and trained on your ontology, not sourced project by project from an open marketplace. The same people who learn your taxonomy in week one are still working it in week twelve, which is what makes agreement scores hold steady over the life of an engagement.
Wk 1–12Same cohort on your ontology
Put this expertise to work on your data
Start with a free one-hour Compliance Review - risk mapping, a gap analysis, and a scoped proof of concept before any data changes hands.
Certifications & readiness
