Hard Tech

We turn natural Language into Multi-Drone Mission execution. Degla is built around a simple idea: once you’ve expressed your intent, the system owns the problem.You don’t babysit drones. You don’t micromanage failures. You don’t rewrite plans. You state the goal, Degla figures out how.

Next generation engines for aircraft and data centers

We design and manufacture high-mix drone motors and robotic actuators in LA. DJI, Apple, and Ford don't settle for OTS components. Likewise, the teams that win the Western robotics market will build seamless machines from tightly integrated software and hardware. Pendulum Robotics designs motors and actuators around your robot's unique form factor and mission - then we rapidly bring them to life with proprietary software and tooling geared for high-mix machining and assembly. Our first factory in LA can create thousands of motors per month up to 200mm OD. We're doing for motion components what 3D printing has done for structural components. Hardware teams that can build and iterate at the speed of software will create elegant, reliable, ROI-positive robots and win massive markets.

Every serious robotics lab is bottlenecked on the same thing: demonstration data. The field has converged on egocentric video and hand pose as the substrate, and both are now cheap to collect at scale. What neither of them contains is force. A video of someone picking up an egg and a video of someone picking up a rock are nearly identical in pixel space and nearly identical in joint angles. They differ almost entirely in a quantity nobody is recording. Policies trained without it learn geometry and inherit no sense of touch. Hemlock closes that gap at the source. Our device, the Bracelet, is a wrist-worn surface EMG band that reads the electrical activity of the forearm muscles that actually drive the hand, which means it recovers contraction force directly rather than inferring it from motion. This distinction is the whole thesis: force cannot be reconstructed downstream of kinematic

Engineering is bottlenecked by slow, costly simulations. We're fixing that by building foundation models that learn physics end-to-end and deliver the same results in seconds, at a fraction of the cost.

We're building a silent speech wearable that lets you talk to your computer at the speed of voice, but silently and completely imperceptibly to everyone around you.

HABU is an AI-native real estate development firm that helps real estate investors deploy capital to build housing faster, at lower cost, and with higher yield. We're building an internal AI-native operating system that completes 90%+ of development tasks at 95% faster processing speeds while delivering the same outcomes customers expect externally: high yield, low risk projects. We're selling the outcome, not the inputs to the outcome. Developers are service providers for white-collar investors: they find land, construct buildings, and operate and sell them for a profit. Our customers don't care how the projects are sourced or managed, only that they are completed on time and produce the forecasted returns. We use agentic workflows, geospatial analysis and mapping, and development-specific workflow automation to manage the end-to-end process. The result is 5x more projects p

Hundred is an automated inspection system for consumer electronics parts. We help factories cut waste and prevent line-down issues by catching sub-millimeter cosmetic defects before parts reach the assembly line. Designs change so fast that traditional vision models can't keep up, meaning factories still rely on manual inspection, literally people checking parts under microscopes to sort out bad parts. Human inspectors miss ~15% of defects which can turn a finished device into scrap. Defects cost U.S. discrete manufacturers $45 billion a year, and Erica saw this problem firsthand designing hardware at Meta, Google, and Magic Leap. She met Imani at Columbia's admitted-students day in 2017, and later met Iris through mutual friends in the Bay Area. Imani spent the last five years at Twitch building software that handles billions of requests a day, and Iris worked in Quant at Citadel

Novel AI hardware and developer platform, built from first principles to let companies train, fine-tune, and deploy frontier models with orders of magnitude better performance than incumbents

We are scaling foundation models that are curious about the world. We’ve seen general intelligence appear exactly once, and its hallmark has been curiosity: a dissatisfaction with what we already know about the world, an ability to learn from world experience, and a disposition to share knowledge with other individuals. Across generations, these human traits have built modern science, technology, and culture. We think superintelligence will come from models that work the same way: learning from their own observation, updating as they go, growing what they know. These models will start from what humanity knows and discover past us. We believe that scaling curious intelligence is a defining problem of our time. If solved, we will live to see a new era of technological advances, scientific understanding, and human flourishing.