
Author
Eric Landau
Eric Landau is the CEO & Co-Founder of Encord, the leading platforming for managing, curating and annotating AI data. Eric was the lead quantitative researcher on a global equity delta-one desk, putting thousands of models into production. Before Encord, he spent nearly a decade in high-frequency trading at DRW. He holds an S.M. in Applied Physics from Harvard University, M.S. in Electrical Engineering, and B.S. in Physics from Stanford University.
He is also the host of the Deep Learning Leaders podcast where he speaks to the world's foremost thinkers in AI about the current challenges, future opportunities and their journeys in the industry.
You can find him on:
Medium
All articles by Eric Landau
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The Eval Stack the Top AI Teams Are Building Right Now [Webinar Recap]
Encord is the world’s first fully multimodal AI data platform

Introducing Merlin: The Agentic Intelligence Layer for Encord
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[Webinar Recap] How NVIDIA Cosmos 3 Is Changing the Way Physical AI Teams Build Training Data

Encord Integrates NVIDIA Cosmos Reason and Embed
What Does It Actually Take to Trust a Robot in Production? Warehouse Robotics Roundtable Recap

Will World Models Eat Physical AI?: What We Learned from Our Physical AI Panel

The Critical Role of Computer Vision in Cancer Treatment

How to Automate the Assessment of Training Data Quality
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[Masterclass Recap] Building Robust 3D Data Pipelines: From Manual Cuboids to Scalable Workflows

What I Learned From My First Month at Y Combinator

Announcing the Launch of SAM 3 in Encord

Distributed Alignment and the Rise of the Age of Intelligence

How to Improve the Accuracy of Computer Vision Models

Lessons Learned: Employing ChatGPT as an ML Engineer for a Day

Key Takeaways: The 2026 Annotation Analytics Masterclass

Announcing Data Agents: Apply Agents to Your Data With One Click

GPT-5: A Technical Breakdown

DeepSeek AI: Open-Source Models Revolutionizing Language, Reasoning, and Multimodal AI

CoTracker3: Simplified Point Tracking with Pseudo-Labeling by Meta AI

Enterprise AI in Production: Luc Vincent, former VP of AI at Meta

How to Label a Dataset (with Just a Few Lines of Code)

What Are Micro-Models? Encord's Semi-Supervised Annotation Approach for Physical AI Data
Aug 25 2026
The Complete Physical AI Data Pipeline: From Data Collection to Deployment

How to Deploy Computer Vision Models in Variable Conditions

Document Annotation Tool: Top 8 PDF Annotators for AI Training
Nov 06 2024
What Are World Models? A Guide to AI's Next Leap in Physical Reasoning
The Complete Guide to Data Annotation [2026 Review]

Build vs buy: A decision framework for data labeling tools
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Best Data Labeling Platforms for Smart Cities AI [2026]

Reinforcement Learning for Motion Planning: The Next Frontier in AV and ADAS
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Logistics Data Labeling: the 6 best platforms and where they fit [2026]
![8 Best Data Labeling Platforms for Physical AI & Robotics [2026]](https://images.prismic.io/encord/Z9Q7LBsAHJWomjAN_image.png?auto=format%2Ccompress&fit=max)
8 Best Data Labeling Platforms for Physical AI & Robotics [2026]

Machine Learning Image Classification: A Comprehensive Guide for 2026

Everything You Need to Know About RAG Pipelines for Smarter AI Models

Announcing Encord’s $30 million Series B funding
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7 Best Data Labeling Platforms for Generative AI [2026]

The Top 5 Data Labeling Platforms Powering Sports AI in 2026

Llava-o1: A Vision-Language Reasoning Model Explained
