Ulrik Stig Hansen

Ulrik Stig Hansen

Ulrik is the President & Co-Founder of Encord. 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.

All blogs by Ulrik Stig Hansen

sampleImage_encord-iclr-2025

Encord at ICLR 2025

sampleImage_life-at-encord-product-designer

Meet Mavis - Product Design Lead at Encord

sampleImage_life-at-encord-as-head-of-engineering

Meet Rad - Head of Engineering at Encord

3 min

sampleImage_recap-2024

Recap 2024 - An Epic Foundational Year

sampleImage_improve-quality-of-labeled-data-guide

Data Operations

5 Ways to Improve The Quality of Labeled Data

8 min

sampleImage_ai-after-hours-physical-ai

Recap: AI After Hours - Physical AI (Special Edition)

sampleImage_project-stormcloud

Providing Computer Vision Infrastructure for Project Stormcloud

2 min

sampleImage_spirit-lm-meta-ai

Multimodal Text

Spirit LM: Meta AI’s Multimodal Model for Seamless Text and Speech Generation

sampleImage_video-what-the-european-ai-act-means-for-ai-developers

Computer Vision

What the European AI Act Means for AI Developers

30 min

sampleImage_google-deepminds-ai-innovations

Machine Learning Agents

Exploring Google DeepMind's Latest AI Innovations: Gemini 2.0, Veo 2, and Imagen 3

sampleImage_sam-2.1-explained

Computer Vision

SAM 2.1 Explained: Smarter Segmentation and Developer Tools For the Future

sampleImage_generative-ai-and-gpt4-is-overrated-long-live-old-school-ai

Machine Learning

Generative AI is overrated, long live old-school AI!

5 min

sampleImage_outsourcing-data-labeling-guide

Data Operations

The Full Guide to Outsourcing Data Labeling for Machine Learning

12 min

sampleImage_object-detection

Machine Learning

Object Detection: Models, Use Cases, Examples

4 min

sampleImage_how-to-start-computer-vision-startup

Machine Learning Computer Vision

How to Start a Computer Vision Startup

10 min

sampleImage_computer-vision-use-cases-insurance

Machine Learning Computer Vision

6 Use Cases for Computer Vision in Insurance

10 min

sampleImage_key-insights-from-the-inaugural-ai-after-hours

Machine Learning

Key Insights from the Inaugural AI After Hours

sampleImage_what-the-european-ai-act-means-for-you

What the European AI Act Means for You, AI Developer [Updated December 2023]

11 min

sampleImage_why-ai-is-the-mother-of-all-unicorns

Why AI Is the Mother of All Unicorns

4 min

sampleImage_what-is-computer-vision

Machine Learning

What Is Computer Vision In Machine Learning

5 min

sampleImage_embodied-ai

Computer Vision

What is Embodied AI? A Guide to AI in Robotics

sampleImage_an-introduction-to-data-labelling-and-training-data

Data Operations

The Full Guide to Training Datasets for Machine Learning

10 min

sampleImage_guide-to-speaker-recognition

A Guide to Speaker Recognition: How to Annotate Speech

sampleImage_voxel-case-study

sampleImage_voxel-case-study

Customers

Finding a Reliable Ecosystem to Scale Model Development

sampleImage_multimodal-ai-for-insurance-tractable

Customers

Building Multimodal AI Systems for Insurance with Tractable

3 min

sampleImage_vida-id-customer-story

Customers

Reducing Model False Positive Rate from 6% to 1% with Vida ID

8 min

sampleImage_floy-customer-story

sampleImage_floy-customer-story

Customers

Floy Reduced CT & MRI Annotation Time with AI-Assisted Labeling

7 min

sampleImage_sdsc-customer-story

sampleImage_sdsc-customer-story

Customers

How Surgical Data Science Collective (SDSC) Conducted Video Annotation 10x Faster

sampleImage_neurons-case-study

sampleImage_neurons-case-study

Customers

Accelerating the Prediction of Consumer Behaviour with Encord

sampleImage_treeconomy-customer-story

sampleImage_treeconomy-customer-story

Customers

Accurately Measuring Carbon Content in Forests

sampleImage_computer-vision-in-agriculture-ai

sampleImage_computer-vision-in-agriculture-ai

Customers

Saving the Honey Bees with Computer Vision

3 min

sampleImage_rapid-ai-customer-story

sampleImage_rapid-ai-customer-story

Customers

Reducing MRI and CT Annotation Time by 70% for Rapid AI

5 min

sampleImage_captur-customer-story

Customers

Training Computer Vision Models to Track Rented Assets

6 min

sampleImage_kings-college-london-customer-interview

Customers

Customer Interview: Overcoming The Mental Torture of Manual Data Labelling

7 min

sampleImage_automotus-customer-story

Customers

Boosting Last-mile Model Performance: Increase mAP by 20% while reducing your dataset size by 25% with intelligent visual data curation

sampleImage_harvard-medical-school-mgh-customer-story

sampleImage_harvard-medical-school-mgh-customer-story

Customers

How Harvard Medical School and MGH Cut Down Annotation Time and Model Errors with Encord

sampleImage_four-growers-customer-story

Customers

Transforming Fruit and Vegetable Harvesting & Analytics with Computer Vision

sampleImage_human-pose-estimation-with-tetonai

sampleImage_human-pose-estimation-with-tetonai

Customers

Using Computer Vision to Prevent Falls in Care Homes and Hospitals

7 min

sampleImage_viz-customer-story

sampleImage_viz-customer-story

Customers

Accelerating Diagnosis to Treatment with Encord

sampleImage_sports-analytics-customer-story

sampleImage_sports-analytics-customer-story

Customers

Rapid Annotation & Flexible Ontology for a Sports Tech Startup

10 min

sampleImage_kings-college-london-customer-story

Customers

How King's College London used Encord to annotate videos 6.4x faster

3 min

sampleImage_conxai-case-study

Customers

Improving Efficiency in the Construction Industry with Encord