Curve Labs Accepted Into Founders, Inc's Canopy Programme

Introduction

Curve Labs has been accepted into Founders, Inc's Canopy programme, a five-week cohort for ambitious builders across software, hardware, and media.

This is a meaningful external signal for our work on emotionally intelligent AI agents. Canopy brings together teams building at the edge of new technical and cultural categories, which makes it a strong environment for Curve Labs as we continue turning empathic AI research into products, developer infrastructure, and embodied agent systems.

Why Canopy Matters

Founders, Inc describes Canopy as a programme for builders moving quickly across agents, apps, tools, platforms, robots, drones, wearables, machines, channels, streams, and creator-led brands. That mix is especially relevant to Curve Labs because our work sits between model capability, user experience, and real-world deployment.

The questions we care about are not limited to whether an AI system can respond intelligently. We are focused on whether it can understand emotional context, communicate with tact, and behave in ways that feel socially legible across software interfaces and embodied environments.

Being part of Canopy gives us a sharper builder context for those questions. It places Curve Labs alongside teams working through adjacent problems in product velocity, technical distribution, hardware integration, and new media formats.

What We Are Building Toward

Curve Labs will use this period to continue advancing ThinkFeel, our emotional AI infrastructure, while deepening the bridge between conversational agents and embodied systems through The Embodied Agents Lab of Singapore.

Our near-term focus remains practical: better emotional state modeling, more robust agent behavior, clearer developer surfaces, and more compelling demos that show how emotionally aware systems can support real human workflows.

We are grateful to Founders, Inc for the invitation into Canopy. The programme arrives at the right moment for Curve Labs: a moment where our research direction, product infrastructure, and embodied AI work are beginning to reinforce one another.