Want to talk to our engineers? Schedule a call
Data
Explore ↗Models
Explore ↗Want to talk to our engineers? Schedule a call
Latest blogs
All blogs ↗Latest from the newsroom
All news ↗Tell us your operation and we’ll send the two numbers that matter for your lane.
Want to talk to our engineers? Schedule a call
Blog
Insights & Best Practices
Expert perspectives on training data, annotation quality, and AI data operations.
Building Instruction Tuning Datasets That Actually Work
A practical guide to creating high-quality prompt-response pairs for instruction tuning, covering schema design, tone calibration, and quality metrics.
Read moreComputer Vision Annotation: 5 Best Practices for 2026
From bounding boxes to semantic segmentation — how to set up your annotation pipeline for accuracy, consistency, and scale.
Read moreWhy QA Matters More Than Volume in Training Data
Volume is easy. Quality is hard. Here’s why investing in a rigorous QA pipeline pays dividends in model performance.
Read moreData Governance for AI Teams: A Practical Framework
How to build data governance processes that satisfy compliance requirements without slowing down your ML pipeline.
Read moreAnnotation for Autonomous Driving: What’s Changed in 2026
Multi-sensor fusion, 4D annotation, and the rising bar for safety-critical labeling in autonomous vehicle development.
Read moreRLHF Ranking at Scale: Lessons from 100K+ Comparisons
What we’ve learned from running large-scale RLHF preference ranking projects — rubric design, rater calibration, and quality signals.
Read more