Insights, tips, and product updates

HITL evaluation works at small scale. Getting it to work at enterprise scale is where most teams hit a wall. This article covers the core challenges and practical solutions for scaling human oversight without scaling headcount.

LLM-as-a-judge and HITL aren’t competing approaches — they’re complementary layers. This article covers the practical keys to making both work together reliably in enterprise AI systems.

What's the difference between LLM-as-a-judge, HITL, and HOTL workflows? We cover this and provide practical tips for each application in our latest guide.

Is data labeling still relevant for large language models? Yes—but its role has evolved.

How new annotation tools are transforming workflows from electronics inspection to agricultural monitoring

This article breaks down Qwen3's technical report through its data processing pipeline, and then extends the same reasoning to Qwen3 Max Thinking.

The strategic decision that determines whether your GenAI models reach production—or stall indefinitely.

This guide will walk you through everything you need to know about OCR data labeling, from understanding the fundamentals to implementing quality workflows that scale across your organization.

Explore the FineWeb2 dataset: 20TB of multilingual pre-training data covering 1,000+ languages. Learn how its filtering pipeline builds better LLMs.

Intelligent Document Processing (IDP) minimises human errors by automating data entry. Learn more about what IDP is, how it works and its benefits for modern enterprises.

This article breaks DeepSeek V3.2 down end-to-end—from continued pre-training to specialist distillation to mixed RL to evaluation—focusing on how training data is built, curated, and used as a control surface for model behavior, reasoning capabilities, and model performance.

This is a mega article breaking down Meta's extensive work and documentation on the data engine to build SAM 3.

Whether you're building training data for a cutting-edge autonomous system or developing retail analytics, video annotation is the foundation of computer vision success. The right combination of skilled annotators, efficient video annotation tools, and robust processes will help you create the accurate video annotations your AI models need to perform in real world applications.

This ultimate guide covers all the important aspects of image annotation: what is meant by image annotation? How do you annotate an image? What are the different annotation types? What is an image annotation tool? Find out what image annotation is all about, and how it can improve your business with expert AI data.

Learn how modern data labeling combines automated labeling and expert HITL workflows to embed subject-matter expertise throughout the AI lifecycle, improving data quality, scalability, and model performance in production.

What is data labeling in 2026? Learn how high-quality labeled data, human-in-the-loop workflows, and automation drive reliable, scalable AI performance across industries.

Enhance your geospatial imagery annotation workflows with Kili’s latest platform updates, including external layer integration, clearer image borders, flexible layer reordering, and improved team visibility for faster, more accurate geospatial data labeling.

Organizations see AI succeed in tests and fail in production. This article explains why—uncovering evaluation gaps, model specialization, and the rise of agentic workflows.

This article synthesizes insights from Kili Technology's recent geospatial AI roundtable discussion featuring industry experts from government, consulting, and technology sectors. Our panelists shared real-world implementation experiences, revealing critical gaps between AI promises and production realities while providing actionable guidance for organizations evaluating their geospatial AI strategies.

This article examines the modern pipeline for satellite imagery processing, exploring how the integration of AI-assisted annotation tools like SAM2, foundation models like DINOv2, and intelligent data processing platforms are changing earth observation workflows across industries.