Lio

RLWRLD addresses a critical challenge in robotic automation by developing Robotics Foundation Models that enable autonomous systems to perform complex manipulation tasks with physical dexterity. The company stands out as one of the few RFM developers actively deploying real-world solutions in customer facilities across Korea, Japan, and the US, demonstrating proven execution beyond research and development. Founded by serial deep tech entrepreneurs with successful exits, RLWRLD brings significant expertise to the rapidly evolving robotics sector. Based in San Francisco, the company is positioned at the forefront of advancing autonomous manipulation capabilities for industrial applications.

Unframe is a Managed AI Delivery Platform founded in 2023 by repeat founders who previously built and sold a cybersecurity company to Akamai for approximately half a billion dollars. The company helps large enterprises deploy custom, LLM-powered AI solutions in days rather than months, serving Fortune 500 customers across financial services, real estate, life sciences, retail, technology, media, and manufacturing. Unframe's LLM-agnostic, Blueprint-led platform is built for enterprise scale and security with no customer data shared, and the company employs value-based pricing with no upfront costs, with typical deals starting around $250K and growing to seven figures within months. The company operates with a lean leadership structure led by co-founders serving as CEO and Chief Operations Officer, supported by Global VPs overseeing Sales, Product, and other functions, with team members distributed across the US and the UK.

Axilon is building an AI operating system designed to transform industrial environments into fully autonomous operations. The company's mission centers on enabling "lights out factories" where AI agents and robots collaboratively perform critical operational knowledge work without human intervention. Axilon's core technical strength lies in scalably contextualizing raw industrial data, allowing large language models to deliver accurate, reliable insights, optimizations, and predictions tailored to complex manufacturing environments. Headquartered in New York City, the company is led by a team primarily composed of software engineers focused on solving the data contextualization challenges that have historically limited AI effectiveness in industrial settings.