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Partnering with Arm on a shared language for robots
Anaxi Labs is an ecosystem partner in Arm's new Robotics Capability Framework — a common way to describe what robots can actually do. Here's what it is, why we contributed, and how it connects to what we build. Last week Arm launched the Robotics Capability Framework, alongside Arm Total Design for Physical AI. Anaxi Labs is one of the ecosystem partners who contributed ahead of launch, and we joined Arm and Lenovo on the launch panel to talk about why the industry needs it.
Sep 16


Announcing WorldSight AI: Empowering Global Contributors to Build the Future of Physical AI
We are thrilled to officially unveil WorldSight AI, our global, real-world consumer-facing data collection platform, now live in five markets: Indonesia, Vietnam, Malaysia, Nigeria, and Kenya. This launch marks a definitive step in our mission to build a world-scale supply chain for Physical AI—the critical infrastructure needed to turn human know-how into deployable capabilities for the next generation of robotics. What is WorldSight AI? WorldSight AI is the consumer-facing
Jun 24


AgentWebBench Paper with CMU
The web is being rebuilt around AI agents, and we wanted to understand exactly how well that's working in practice. Together with Carnegie Mellon University, we've released AgentWebBench — the first benchmark to rigorously test how AI agents coordinate with each other to answer questions online. We built this because we care about a healthy ecosystem, not just single-model demos, and the findings challenge some core assumptions about where the agentic web is headed. The shif
Apr 21


Anaxi Labs and Carnegie Mellon University launch research collaboration to shape the economics of AI
Today, we are announcing a new research collaboration with Carnegie Mellon University (CMU) to study the economic foundations of generative AI systems. We’re kicking off the partnership with a new whitepaper examining one of the industry’s most pressing questions: how AI engines should actually make money. Alongside CMU, we will explore two areas likely to shape the next phase of AI development: agent-to-agent interaction, where specialized AI systems coordinate to complete
Apr 2
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