Annotation service

Secure Annotation Platform

Enterprise secure annotation workspace — encrypted pipelines, access controls, and GDPR-ready delivery for global ML teams.

Secure Annotation Platform
  • Encrypted data pipelines
  • Role-based access controls
  • GDPR-ready EU processing
  • API and cloud bucket integrations

Service overview

Enterprise ML teams cannot compromise on data security when outsourcing labeling. Our secure annotation platform combines human expert labeling with encrypted ingest, role-based access, audit logging, and compliant delivery — so your training data stays protected from upload to model deployment.

Security without slowing delivery

Encryption in transit and at rest, isolated project workspaces, and least-privilege access for annotators, reviewers, and project managers. Your security team gets visibility; your ML team gets speed.

Platform capabilities

Multi-modality projects in one workspace; versioned annotation guidelines; real-time QA dashboards; consensus and IAA metrics; export scheduling to cloud storage or training pipelines.

Compliance for global enterprises

GDPR-ready processing for EU customers, contractual DPAs, and configurable data retention. Workflows adapt to healthcare, finance, and government-adjacent sensitivity requirements.

Human operations behind the platform

The platform powers 250+ trained annotators and dedicated QA — not a self-serve-only tool. You get software plus managed delivery, SLAs, and project managers who understand production ML timelines.

Flexible deployment models

Annotate on our secure cloud workspace, inside your VPC boundary where supported, or hybrid — with the same QA standards and export formats across modalities.

Get started

See how secure annotation accelerates your roadmap without expanding security risk. Book a demo to walk through workspace security, integrations, and sample QA workflows.

Industries we serve

Our annotation process

엔터프라이즈 주석 프로그램을 위한 검증된 캘리브레이션-투-프로덕션 워크플로.

01

데이터 공유

원시 이미지, 비디오, 텍스트, 오디오 또는 LiDAR를 안전하게 업로드하십시오. 클라우드 스토리지, SFTP 또는 기존 ML 파이프라인에서 수집합니다.

02

프로젝트 분석

귀사의 ML 및 제품 이해관계자와 함께 레이블링 지침, 클래스 분류 체계, 엣지 케이스 및 정확도 목표를 정의합니다.

03

주석

훈련된 주석가가 귀사의 툴체인 또는 당사 작업 공간에서 바운딩 박스, 마스크, 트랙, 전사 또는 3D 큐보이드를 레이블링합니다.

04

품질 보증

모든 데이터 세트가 학습 작업에 도달하기 전에 다중 패스 검토, 합의 점수 매기기 및 자동화된 검사를 수행합니다.

05

배송 및 지원

COCO, JSON, Pascal VOC 또는 사용자 지정 내보내기를 받고, 모델 및 분류 체계가 발전함에 따라 지속적인 지원을 받으세요.

Service FAQ

Answers about scope, quality, tooling, and delivery.

Both. Annotate in your toolchain or our enterprise workspace with encrypted ingest and export.

We support GDPR-ready workflows, access logging, and EU enterprise data handling requirements.

S3, GCS, Azure Blob, SFTP, and API-based ingest with annotated export to your MLOps pipeline.

Ready to start your secure annotation platform project?

Talk to our enterprise team about volume, timeline, QA targets, and pricing.