Building AI requires properly labeled training data.
We staff your projects with experienced annotation teams who understand your domain. From medical imaging to autonomous vehicles, our annotators have worked on projects where accuracy matters. We handle the staffing so you can focus on building better AI.
What We Lable
Images & Video
We provide teams trained in object detection, segmentation, and classification. They've labeled everything from X-rays to street scenes, working with the annotation tools you already use.
Text & Documents
Our linguists and subject matter experts handle entity extraction, document classification, and sentiment tagging. They understand context, not just keywords.
LiDAR & 3D Data
Point cloud annotation requires spatial reasoning. We connect you with specialists who've worked on real autonomous vehicle and robotics projects.
Audio & Speech
From transcription to acoustic event detection, we staff teams familiar with various audio formats and industry-specific terminology.
Why Work With Us
Here’s what makes our data labeling staffing different.
Quick Ramp-Up
We maintain a network of pre-screened annotators. Most teams start within a week. No lengthy procurement cycles
Domain Expertise
Need radiologists for medical imaging? Engineers for defect detection? We place specialists across technical domains where generic crowdsourcing falls short.
Flexible Scaling
Start with a pilot team of five. Scale to fifty as your dataset grows. Reduce to zero between project phases. You pay only for active work.
Quality Management
We implement your QA protocols, track inter-annotator agreement, and flag inconsistencies. You get clean data, not just labeled data.
Industries We Serve
Projects across sectors where annotation quality impacts outcomes
Lets Talk
Tell us about your annotation needs. We’ll discuss team size, timeline, and budget in short-time.
How We Work
We discuss your data and quality standards
We source annotators with relevant experience
Multiple review layers catch errors.
We adjust team size as needs evolve.