About DeeLab
DeeLab delivers high-quality, human-led data annotation services that power AI and machine learning applications across industries.
Founded in 2023 as a business unit of Tailjay, DeeLab is based in Singapore and operates globally. We work across a wide range of data types — including 3D LiDAR, audio, images, video, and text.
Through DeeLab Academy, our in-house training and certification program, we equip professional annotators and client teams with practical skills and QA know-how.
Get to Know Us

Hannah Ndulu
Project Lead
Hannah is DeeLab’s Project Lead. Based in Kenya, she oversees daily operations, leads our core annotation team, and ensures projects are delivered with consistency and care.
With a background in bookkeeping and solid expertise in data annotation and web research, she brings a meticulous, detail-driven approach to every task.
As Head of Training at DeeLab Academy, Hannah designs and runs our training and certification program — equipping annotators with practical skills to work on real client projects and uphold high quality standards.
“I’m passionate about bringing precision and quality to every project we undertake. I’m dedicated to ensuring that our services fuel innovation, drive insights, and deliver value to our clients.”

Kari Kinnunen
Founder
Kari is the founder of DeeLab and also the founder & CEO of Tailjay, a Singapore-based venture builder operating globally.
At DeeLab, Kari leads a growing team of professionals focused on high-quality data annotation and project-based support for AI and machine learning applications.
Kari’s background spans startup operations, team building, and digital strategy. He believes in practical solutions, lean systems, and continuous improvement — and he brings this mindset into every project.
“We work with real data, real teams, and real deadlines. Our job is to make complexity manageable, and to deliver quality that holds up — not just in demos, but in the wild.”
Our Work

Audio Data Annotation for AI Baby Monitor Device
DeeLab labeled audio data for a baby product retailer, enabling the development of an AI-powered baby monitor. This ensured accurate sound detection, a quicker launch, and more reliable performance for parents.

Tailored Training Transforms Client Team in Data Annotation
A case study on how a beginner team gained confidence and certification through DeeLab Academy’s tailored training in image, video, segmentation, and 3D LiDAR annotation.

Image Annotation Training Highlights
Image Labeling Essentials is one of DeeLab Academy’s recently launched certification courses. This 5-day image annotation training focuses on core labeling methods used in machine learning—especially in computer vision tasks like object detection, pose estimation, and image segmentation.

DeeLab Portfolio
DeeLab portfolio showcases the range of data annotation projects our team and contributor network have worked on, across industries including healthcare, retail, automotive, logistics, and media.
Join us on our exciting journey! We’re on the lookout for talented individuals to join our diverse, globally distributed team. Whether you’re an experienced data annotator, a machine learning enthusiast, or simply someone with a passion for AI, we invite you to become a part of our incredible adventure.

The Rise of Synthetic Data in AI
Synthetic data is artificially generated but realistic enough to train AI models. It can speed up training, protect privacy, and create rare scenarios, though it can also be too perfect or miss important real-world details.

AI Content Moderation
The internet moves too fast for human-only moderation — and AI systems trained on human-labeled data now play a key role in detecting harmful content. But even with the best annotations, AI can miss context, nuance, and intent.

Turning Fields into Intelligent Systems
Smart farming is turning fields into intelligent systems with AI. It helps grow more and waste less. Behind it all is the quiet force of data annotation.

Audio Data Annotation for AI Baby Monitor Device
DeeLab labeled audio data for a baby product retailer, enabling the development of an AI-powered baby monitor. This ensured accurate sound detection, a quicker launch, and more reliable performance for parents.