NEW SERVICES OFFERING

On-Demand Labeling — Inside Your Stack

50% faster delivery. 90% fewer relabels. You keep 100% control.

Scale your team. No Exports. No Blinds Spots.

Accelerate your data engine with our expert teams, who label, review, and audit data directly in Label Studio Enterprise.

High-Quality Training Data
Domain-specific datasets for traditional ML, LLMs, agents, and multimodal models.
HITL Model Evaluation
Curated evaluation sets for pre-deployment testing and post-deployment monitoring, or custom-tuned evaluators.
Complex Edge Cases
Multi-step tasks, custom annotation workflows, structured reviewer pipelines, and more

Track the KPIs your team cares about, right inside of Label Studio Enterprise:

Data Scientists & ML Engineers - Dataset lead time, quality and reproducibility, edge-case coverage, model experiments per week
Data Operations Managers - Labeling throughput, SLA adherence, relabel rate, cost per label
Product & AI Leaders - Time-to-production, feature launch cadence, model related incident rate

We source experts across a variety of industries and fields, including:

Medical images, clinical data extraction, pharmacovigilance annotations

Video, sensor fusion, LiDAR, spatial annotation for perception models

Product catalog data, customer support, recommendation system training, search relevance optimization

Sensitive content annotation, policy enforcement, safety evaluations

Code generation evaluation, program synthesis datasets, functional correctness scoring

Delivered entirely within your Label Studio Enterprise instance — no external data transfers
Full audit trails, role-based access controls, and workforce oversight
Unified quality metrics, reviewer performance dashboards, and model agreement scores
Supports your enterprise data governance, security, and compliance standards

Get expert labeling services — fully integrated, fully visible, fully under your control.

Talk to Our Team