
Author
Ulrik Stig Hansen
Ulrik is the Co-CEO of Encord, the first platform enabling enterprises to manage and optimize data for multimodal AI. Ulrik started his career in the Emerging Markets team at J.P. Morgan. Ulrik holds an M.S. in Computer Science from Imperial College London.
In his spare time, Ulrik enjoys writing ultra-low latency software applications in C++ and enjoys experimental sushi making.
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All articles by Ulrik Stig Hansen

Finding a Reliable Ecosystem to Scale Model Development
Physical AI
Apr 03 2026
Providing Computer Vision Infrastructure for Project Stormcloud
Company
Jan 22 2025
5 Ways to Improve The Quality of Labeled Data
Data Operations
Jan 20 2023
The Full Guide to Outsourcing Data Labeling for Machine Learning
Data Operations
Nov 03 2025
What Is Computer Vision In Machine Learning
Machine Learning
Nov 11 2022![What the European AI Act Means for You, AI Developer [Updated December 2023]](https://images.prismic.io/encord/bf2a04a7-0a25-40b4-8598-5ff50c2cb17c_image+%2815%29.png?auto=compress%2Cformat&fit=max)
What the European AI Act Means for You, AI Developer [Updated December 2023]
Learn
Jun 26 2023
Accelerating Diagnosis to Treatment with Encord
Healthcare
Aug 28 2025
How Harvard Medical School and MGH Cut Down Annotation Time From Days to Minutes
Healthcare
Nov 05 2025
Generative AI is overrated, long live old-school AI!
Machine Learning
Mar 15 2023
How to Start a Computer Vision Startup
Machine Learning
Nov 21 2022
Encord at ICLR 2025
Company
Apr 26 2025
Accurately Measuring Carbon Content in Forests
Agriculture
Aug 31 2023
Transforming Fruit and Vegetable Harvesting & Analytics with Computer Vision
Physical AI
Aug 22 2023
Meet Mavis - Product Design Lead at Encord
Company
Meet Rad - Head of Engineering at Encord
Company
Recap 2024 - An Epic Foundational Year
Company
Dec 23 2024
Spirit LM: Meta AI’s Multimodal Model for Seamless Text and Speech Generation
Multimodal
Oct 22 2024
What the European AI Act Means for AI Developers
Computer Vision
Jul 13 2023
Exploring Google DeepMind's Latest AI Innovations: Gemini 2.0, Veo 2, and Imagen 3
Machine Learning
Dec 19 2024
SAM 2.1 Explained: Smarter Segmentation and Developer Tools For the Future
Computer Vision
Oct 22 2024
Object Detection: Models, Use Cases, Examples
Machine Learning
Apr 14 2023
Key Insights from the Inaugural AI After Hours
Machine Learning
Sep 27 2024
Why AI Is the Mother of All Unicorns
Company
Aug 24 2023
How Yutori Achieves 3x Task Completion & Lower Inference Costs for Autonomous Web Agents
AI Agents
Mar 16 2026
How MMI Accelerates Digital Surgery Innovation with Encord
AI Agents
Mar 05 2026
How UVeye Improved Annotation by 30% for Better Vehicle Inspection
Computer Vision
Jun 28 2026
How UiPath 10x'd Their Dataset & Improved Model Accuracy to 99% On Their Table Extraction Model
Computer Vision
Apr 28 2026
How Thoro Cut Model Deployment to 1 Week & Increased Labeling Speed by 50% for their Mobile Robots
Computer Vision
Apr 28 2026
How Hudl Powers Sports Analysis By Cutting Review by 40% & 10x-ing Annotation
Computer Vision
Apr 28 2026
Recap: AI After Hours - Physical AI (Special Edition)
Company
Feb 11 2025
6 Use Cases for Computer Vision in Insurance
Machine Learning
Jan 06 2023
Amazon Is Shutting Down Mechanical Turk and SageMaker Ground Truth: What It Means for Your Annotation Pipeline
Industry News
Aug 27 2026
What is Embodied AI? A Guide to AI in Robotics
Computer Vision
Mar 02 2026
Encord as a Step Up from CVAT + Voxel51: Why Teams Are Making the Switch
Machine Learning
Jul 15 2025
The Full Guide to Training Datasets for Machine Learning
Data Operations
Dec 03 2024
The Complete Guide to Data Labeling for Robotics
May 26 2026
Announcing Encord’s $60 million Series C funding
Company
Feb 26 2026
From Models to Agents: How to Build Future-Ready AI Infrastructure
Agents
Jul 31 2025
A Guide to Speaker Recognition: How to Annotate Speech
Audio
Dec 12 2024
Accelerating the Prediction of Consumer Behaviour with Encord
Consumer
Dec 18 2025
How Tractable Trained 40+ Annotators with Encord's QA & annotation review
Insurance
Jan 15 2026
Reducing Model False Positive Rate from 6% to 1% with Vida ID
Nov 26 2025
How Floy Reduced CT & MRI Annotation Time by 50%
Feb 09 2026
How a Leading Sports Tech Startup Set Up Flexible Ontologies in Minutes
Jun 12 2025
How King's College Uses Encord to Automatically Generate 97% of Labels
Healthcare
Oct 14 2025
How King's College London used Encord to annotate videos 6.4x faster
Healthcare
Sep 22 2025
How Conxai Increased Labeling Speed by 60% with Encord
Logistics
Jan 28 2026
Boosting Last-mile Model Performance: Increase mAP by 20% while reducing your dataset size by 35% with intelligent visual data curation
Logistics
Aug 05 2025
Reducing MRI and CT Annotation Time by 70% for Rapid AI
Healthcare
Feb 08 2023
Saving the Honey Bees with Computer Vision
Agriculture
Apr 14 2023