LATEST IN THE NEWS

April 7, 2026

Vellex Exhibits Highly Efficient AI Training at National Laboratory of the Rockies

Vedant Wakchaware
Vellex Computing was selected to pitch at the 2026 Industry Growth Forum in Denver, presenting its vision for the next generation of AI to investors and corporate leaders. Co-founders Dr. Palak Jain and Jason showcased Vellex’s highly efficient, physics-based computing architecture that enables true self-learning intelligence.
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November 20, 2025

Vellex Showcases Analog Intelligence at Tough Tech Week Demo Day in Boston

Meghesh Saini
Vellex Computing participated in Tough Tech Week 2025 Demo Day in Cambridge, showcasing its Analog Intelligence Platform to investors and deep-tech leaders. CEO Palak Jain presented Vellex’s low-power, high-speed analog AI capabilities and engaged with partners across the tough-tech ecosystem.
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September 16, 2025

Vellex awarded Competitive Grant from the U.S. National Science Foundation

Meghesh Saini
We are proud to announce that we have been awarded the highly competitive National Science Foundation (NSF) Small Business Innovation Research (SBIR) Phase I grant. This milestone marks a significant recognition of our pioneering work in developing physics-inspired computing solutions that transform the way complex control and optimization problems are solved.
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OUR BLOGS

August 29, 2025

Types of Optimization for your Business needs

Meghesh Saini
Many enterprises waste millions on IT, logistics, and supply chain inefficiencies due to poor optimization. This blog highlights key optimization problem types-resource allocation, routing, inventory, energy, and financial, and outlines how solving them can cut costs, boost performance, and support sustainability. With modern, data-driven strategies, businesses can significantly reduce waste and enhance resilience. Vellex helps organizations tackle these challenges, delivering measurable savings and competitive advantage through smart optimization.
August 25, 2025

Optimization: Challenges and Opportunities

Meghesh Saini
Optimization powers efficiency, cost savings, and performance across industries. Yet traditional digital methods struggle with scalability, speed, and energy use. As systems grow more complex, new approaches are needed. Physics-inspired and hybrid analog-digital computing offer faster, more sustainable solutions. Vellex is pioneering this frontier with a platform that leverages natural dynamics to solve problems in milliseconds while consuming minimal power. From EV fleets to healthcare scheduling, our solutions enable industries to achieve real-time, scalable, and energy-efficient optimization.
May 6, 2025

Streamlining the Future of Grid Interconnection with AI

Palak Jain, Ph.D.
In the race to a sustainable energy future, the efficient connection of renewable energy sources to the grid is paramount. However, a staggering 90% of interconnection applications are plagued with deficiencies and errors, leading to significant delays and increased costs. At Vellex Computing, we recognized this critical bottleneck and developed a groundbreaking solution: the Interconnection Concierge (IC).

OUR PUBLICATIONS

December, 2024

A hybrid-computing solution to nonlinear optimization problems

Kamlesh Sawant; Dillon Nguyen; Alex Liu; Jason Poon; Sairaj Dhople
Published in IEEE Transactions on Circuits and Systems I - Regular Papers, vol. 71, no. 12, pp. 6555-6568, Dec. 2024
May, 2022

Real-time selective harmonic minimization using a hybrid analog/digital computing method

Jason Poon; Mohit Sinha; Sairaj V. Dhople; Juan Rivas-Davila
Published in IEEE Transactions on Power Electronics, vol. 37, no. 5, pp. 5078-5088, May 2022
December, 2021

Decentralized Carrier Phase Shifting for Optimal Harmonic Minimization in Asymmetric Parallel-Connected Inverters

Jason Poon; Brian Johnson; Sairaj V. Dhople; Juan Rivas-Davila
Published in IEEE Transactions on Power Electronics ( Volume: 36, Issue: 5, May 2021)