Visdo

Visdo
Web application

VISDO is an AI data labeling and management platform for images, videos, and EEG signals. It provides flexible project organization, fine-grained permissions, hybrid manual + AI-assisted annotation, real-time progress tracking, deep analytics, and standard exports (COCO, YOLO, CSV, etc.). VISDO exposes a clean REST API, enforces TLS 1.3 and AES-256, logs every action, and supports on-prem/hybrid deployment. It is built for teams that need high-quality datasets, auditable workflows, and horizontal scalability for millions of records.

Product Details

VISDO is engineered as a closed-loop workflow that turns raw inputs into production-grade training data. Teams create projects by modality (image, video, EEG), define roles and access policies, and ingest datasets via UI or API. As data land in the system, VISDO immediately surfaces progress metrics, validates formats, profiles class balance, and watches quality signals to prevent issues early. Annotators then work in a performance-focused UI: for images they draw boxes, polygons, and keypoints; for video they annotate frame-by-frame with multi-frame object tracking; for EEG they mark multi-channel waveforms on the timeline. Every step is accelerated by AI-assist: you can plug in built-in models or a custom endpoint to auto-suggest labels, letting annotators correct rather than create from scratch, which typically delivers a 5–10× speed-up.

 

Throughout the project lifecycle, VISDO measures throughput, per-user productivity, inter-annotator agreement, and flags anomalies (for example, severe class imbalance or drifting AI suggestions). The analytics console provides daily/weekly/monthly rollups, error heatmaps, mean time-to-label per item, and reliability scores so project leads know exactly when to review. When a milestone is reached, data are exported in standard formats (COCO, YOLO, Pascal VOC, CSV; EDF/CSV for EEG; or custom via API). Operationally, VISDO supports on-prem/hybrid with strict security: TLS 1.3 in transit, AES-256 at rest, optional MFA, role-based access, and 24/7 audit logging. A service-oriented, containerized architecture scales horizontally; you can add workers, leverage Redis/PostgreSQL/Docker, and keep 24/7 SLA for large teams.

What makes VISDO stand out

VISDO focuses on speed, consistency, and scale. Speed comes from AI-assist and a frictionless UI; consistency from QC workflows, cross-checks, and honest metrics; scale from APIs and a horizontally scalable backbone. With 10K+ processed items, 99.8% measured label accuracy in internal validations, and 50+ delivered projects, the platform has proven performance in real deployments.

Security, privacy, and deployment

Security is baked in: TLS 1.3 for all traffic, AES-256 at rest, RBAC, full audit logs, 24/7 monitoring, and incident workflows. VISDO separates dev/staging/prod, supports on-prem for strict data residency and hybrid to leverage cloud elasticity. Hosting can meet SOC 2 Type II standards and be GDPR/CCPA/HIPAA-ready depending on your industry.

KPIs and measurable impact

Typical programs see 5–10× faster labeling, >95% inter-annotator consistency for mature tasks, and 10–30% lower lifecycle cost through re-use and automation. Video tracking saves 60–80% repetitive effort. EEG timelines and standard exports cut 30–50% from data-prep time for research teams.