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.
Read Vellex News
Vellex Logo Small
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.
Read Vellex News
Vellex Logo Small
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.
Read Vellex News
Vellex Logo Small

OUR BLOGS

September 24, 2025

Analog Intelligence for the Automotive Revolution

Meghesh Saini
The automotive industry’s shift to electrification, autonomy, and software-defined vehicles demands faster, more efficient computing. Analog compute addresses power, latency, and bandwidth challenges by processing signals near the source, reducing ECU load and cost. Real-world deployments from Tesla, Toyota, Volkswagen, and Waymo show gains in battery life, motor control, and safety. Emerging in-memory and in-sensor compute promise even greater efficiency. In this blog, we talk about how Analog computing is opening new frontiers in automobiles.
September 19, 2025

Analog accelerators powering the Future of Robotics

Meghesh Saini
Analog computing is revolutionizing robotics and manufacturing by delivering real-time decision-making, 10x–100x faster processing, and up to 90% energy savings. It enables higher throughput, reduced defects, and edge-based AI control without heavy cloud dependence. By accelerating Physical AI, analog computing drives safer, greener, and more productive factories. Business leaders should explore pilot programs now to gain a competitive edge and lead the next wave of Industry 4.0 transformation.
September 18, 2025

Analog computers are revolutionizing Grid

Meghesh Saini
Analog computing is re-emerging as a game-changer for power grid simulation, offering faster and more energy-efficient solutions for complex, real-time problems. By accelerating critical tasks like power flow analysis and transient stability, analog systems complement digital HPC to improve grid reliability, lower costs, and support decarbonization goals. This article explains the technology, its business value, realistic use cases, and how leaders can strategically adopt hybrid analog-digital approaches.

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)