Insights, tips, and product updates

Computer vision applies deep learning to images & videos to detect & distinguish objects. Read on to learn how it works, the history behind it, and what lies ahead.

We're thrilled to announce that Kili Technology has been re-audited by Barr and is SOC2 certified for the second year. Here’s a look a the enhanced security, reliability, and trustworthiness this implies.

Cutting through the noise to understand what makes Foundation Models and LLMs so special compared to previous ML paradigms.

Discover the latest image annotation challenge with Kili Technology! By annotating more than 4000 images, our community was able to build a large dataset to detect plastic in rivers. Learn more about our journey here.

Cloud vs On-Premise? How about both? For years now, people have been predicting rough days for on-premise deployments, with cloud-based hosting poised to replace them. At Kili, we didn’t share this enthusiasm: for many companies, sending sensitive data to SaaS is still a no-go, privacy issues being their major concern. This is why the whole time we’ve been committed to offering Kili both as a SaaS and an on-premise solution.

Sometimes, you need to label the data you'll use for your AI model yourself. Find out how to build an efficient labeling plan here.

Kili's command-line interface (CLI) tool is out! Discover how it allows you to trigger key actions on your project with short commands from the terminal.

Kili tool uses pydicom, a pythion package, to read medical data in dicom format. Follow step by step process to read and label dicom medical images.

Training data is vital for accurate ML models. See this free AI training data guide to answer crucial questions and discover valuable tips.

Natural Language Processing (NLP) is an essential composent of Machine Learning applications today. In this guide, we'll walk you through the components of an NLP stack and its business applications.

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.