Blog
Practical guides on data labeling, annotation tools, and training data for machine learning.
How to Annotate Multimodal Data for Robotic Foundation Models
A technical playbook for preparing and annotating multimodal data for VLA training. Six modalities, phase boundaries, time alignment, annotator skill profile — anchored in the public RLDX-1 architecture.
OpenExp Scores 98.6% on LongMemEval — AI Memory Benchmark Results
We benchmarked OpenExp against every major AI memory system. 98.6% Recall@10, zero LLM calls, fully local. Full methodology and comparison.
Semantic Segmentation vs Instance Segmentation: When to Use Each
Both label every pixel — but they answer different questions. A practical guide to choosing the right approach for your ML project.
Data Labeling Pricing Guide: How Much Does Annotation Really Cost?
Real pricing by annotation type, what drives costs up or down, and a budgeting formula you can use for your next ML project.
In-House vs Outsourced Data Annotation: Cost, Quality, and Timeline
Should you build an in-house annotation team or outsource? A practical comparison with real numbers from production ML projects.
CVAT vs Labelbox vs Label Studio: Which Annotation Tool Should You Use?
Hands-on comparison of the three most popular annotation tools. Features, pricing, and which one fits your project.
Why AI Agents Need the Right Amount of Pressure
Our multi-agent research shows AI agents follow the same stress-performance curve as humans. Too little pressure — they idle. Too much — they collapse.
Let's Talk
Book a call or send us a message — whatever works for you
Book a Free Call
30-minute consultation to discuss your project, data needs, or AI strategy.
Book Consultation