Led · Series B · May 2026

RADAR provides a vertically integrated system of overhead RFID sensors, software, and analytics that captures a full inventory snapshot every eight seconds and delivers roughly 99% item-level inventory accuracy. Its platform converts continuous location signals into operational actions such as automated replenishment alerts, omnichannel fulfillment routing, loss-prevention triggers, and merchandising intelligence. The company is deployed across more than 1,400 stores with major U.S. retailers including American Eagle Outfitters and Old Navy and processes more than 100 billion item-level events per day. RADAR positions its dataset as a foundation for forecasting demand, optimizing assortments, and understanding in-store customer interactions. The company plans to advance sensor hardware, expand AI capabilities, pursue autonomous checkout, and grow internationally while scaling operations under new CFO Abi Viswanathan.

Participated · Series E · May 2026

Astranis designs, manufactures, and operates satellites for geostationary and other high orbits to deliver dedicated, secure communications networks to large enterprises, sovereign governments, and the U.S. military. The company reports five satellites on orbit and a commercial backlog in excess of $1 billion. Astranis has been selected as a prime contractor for initial phases of multiple U.S. Department of Defense Programs of Record, including PTS-G, Resilient GPS, and Andromeda. It employs roughly 500 engineers and operates out of a 153,000 sq. ft. headquarters in Northern California. The company is scaling manufacturing capacity to accelerate satellite production and meet rising demand from commercial and government customers.

Participated · Series B · May 2026

Panthalassa builds self-propelled, autonomous floating nodes that capture wave energy to generate continuous clean electricity and run AI inference computing onboard, transmitting results to land via low-Earth-orbit satellites. The company has spent about a decade developing its power generation, propulsion, autonomy, and at-sea computing technologies and demonstrated capabilities with Ocean-1, Ocean-2, and Wavehopper prototypes in 2021 and 2024. Panthalassa plans to deploy its Ocean-3 pilot node series in the northern Pacific in 2026 to demonstrate AI inference at sea and to refine manufacturing ahead of commercial deployments in 2027. The platform uses the ocean for free supercooling to extend chip lifetimes and avoids transmitting power to shore by performing computing onboard. The company is a public benefit corporation headquartered in Portland, Oregon, and recently raised $140 million in a Series B to complete a pilot manufacturing facility and accelerate initial deployments.

Led · Equity · Apr 2026

Reliable Robotics develops the Reliable Autonomy System (RAS), an FAA-certifiable autonomy stack designed to enable fully automated aircraft operations and prevent the leading causes of aviation accidents. The company says RAS is built to integrate with certified aircraft and existing aviation infrastructure without changes to the National Airspace System. Reliable has secured commitments for over 200 systems from commercial and military customers, been selected for the Department of Transportation’s eIPP advanced aviation pilot program, and holds a contract to provide automated air cargo operations for the U.S. Air Force. The business has been advancing FAA certification—having had its certification plans and means of compliance accepted—and is delivering required compliance materials under the FAA-agreed plan. Since its last financing the company has nearly tripled its workforce and plans to use the new $160M to expand production facilities, grow headcount, and accelerate deployment toward autonomous cargo operations in 2026. The company is headquartered in Mountain View, California and maintains a distributed global workforce.

Participated · Series A · Oct 2025

CoreStory tackles one of enterprise IT’s costliest problems: understanding and modernizing the trillions of lines of legacy code that underpin critical systems such as banking, healthcare and defense. Its Agentic Code-to-Spec platform automatically reads, maps and documents millions of lines of code, turning opaque applications into detailed, living specifications that both developers and AI agents can navigate. By pioneering Specification-Driven Development, CoreStory grounds all software—including the surge of AI-generated code—in explicit, natural-language requirements, keeping business intent and technical execution aligned. Enterprises that deploy the product report up to a 50 percent reduction in human development time, while research conducted with Microsoft shows a 51 percent accuracy boost for AI engineering agents using CoreStory’s specs. The result is shorter modernization timelines, lower project risk and a measurable, ROI-positive initiative for large organizations. With fresh capital, the company plans to accelerate enterprise adoption and further develop its AI-powered development workflows. No additional revenue or user figures were disclosed in the article.