🦾 Cortex AI — Large-Scale Real-World Data for General-Purpose Robotics

We’re building the world’s most diverse real-world, real-workplace egocentric + robot dataset — where the real physical world itself becomes the next training and eval set for embodied AI.

🌍 The Problem
Most robotics datasets today are captured in lab environments or simulated settings — far removed from the real physical world where robots actually need to operate.

These datasets helped build the foundation models we have today, but the next phase of embodied AI needs to learn directly from the real world — from the noise, diversity, and complexity of real workplaces.

🤖 The Solution

Frontier labs use Cortex AI through 3 stages:
1️⃣ Get real-world egocentric data → for world model + robotics foundation model pretraining
2️⃣ Collect real robot data in real workplaces
3️⃣ Roll out policies across real-world environments → the best evals happen in the real world, with our operators providing human-in-the-loop support to capture recovery data

https://youtu.be/HD-weWSzy4Y

🏭 Cortex Marketplace
We’re also launching the Cortex Marketplace, where real workplaces get paid to host egocentric-capture and robot-teleop sessions — fueling a scalable pipeline of high-quality, real-world robotics data.

👥 The Team
Prior to Cortex AI, Lucas Ngoo co-founded and served as CTO of Carousell, scaling it from an idea into a $1B+ valuation marketplace used across Asia.

🙏 Our Ask
If you work with or know teams at frontier robotics labs (humanoid companies, robotics foundation model research groups and teams), please make an intro (lucas@cortexrobot.ai) — we’d love to collaborate, thank you!

🔗 cortexrobot.ai
📩 lucas@cortexrobot.ai