About Tensor Machines
Make the most of the compute we build.
AI infrastructure is a physical system. Its productive capacity depends on how silicon, workloads, power, and cooling behave together.
We founded Tensor Machines to understand those relationships and use them to improve how compute is operated. Our mission is to maximize the useful output and productive life of compute hardware.
We bring together experience in hardware platforms, industrial sensing, electrical engineering, and machine learning. Our work starts with real systems under real workloads and connects the measurements to decisions an operator can make.
[01] Our approach
Tensor began with a question about the hardware beneath AI: what can a system sustain, and how does that change as it operates?
Working with GPU infrastructure partners led us to the instrumentation already inside the server. We built software to collect GPU and server telemetry together, then developed a repeatable assessment to observe physical behavior across workloads and operating conditions.
That work connects hardware condition to a larger problem: compute yield. Understanding how a system responds is the foundation for choosing a better workload, configuration, or time to intervene.
Understand the machine before changing how it runs.
[02] Founders
Fifteen years of friendship.
01 · FOUNDERCEO
Muneeb Rasool
Founder and CEOMuneeb leads Tensor Machines' product direction and commercial strategy. At Meta Reality Labs, he led product work for Presence Platform, helping turn sensing, computer vision, and machine learning into capabilities developers could use. His platform work spanned Quest Pro, Quest 3, and Quest 3S, connecting hardware constraints with software interfaces and product decisions.
Before Meta, Muneeb led product work at Metromile and was the founding Head of Product at ZenLedger. He holds a master's degree in engineering and management from the Integrated Innovation Institute at Carnegie Mellon University and served in the U.S. Army Reserve.
LinkedIn ↗
02 · CO-FOUNDERCTO
Mohamed Abdalla
Co-founder and CTOMohamed leads Tensor Machines' technical strategy, architecture, and engineering. He brings more than a decade of experience across electrical engineering, embedded firmware, industrial sensing, and machine learning. Before Tensor, he led R&D electrical engineering at Ecolab and spent nine years at Atmosphere Recovery developing industrial instrumentation.
His work spans board architecture, analog and mixed-signal design, and sensing systems taken through manufacturing and global deployment. At Tensor, he leads the assessment infrastructure and models that connect GPU behavior to useful output. Mohamed holds a master's degree in Machine Learning and a bachelor's degree in Electrical Engineering.
LinkedIn ↗[03] Selected advisors
Experience across the systems that make AI work.
Our advisors contribute experience in hardware, GPU infrastructure, mathematical modeling, and the work of bringing technical products into operating environments.
Michael Bell
Former CTO of Rivian and hardware leader at Apple and Intel. Michael advises on building and commercializing complex physical systems.
Randy Persaud
Randy brings experience across Google, NVIDIA, OpenAI, and Lambda Labs, including work on the hardware and software health of OpenAI's GPU fleet. He advises Tensor on assessment methodology, workload selection, and repeatability.
Karimulla Shaikh
CTO of Volta Insite and former CTO of Cato Digital, with experience in electrical monitoring, fault detection, and software-defined power. Karimulla brings an operator's perspective to hardware assessment and pilot development.
Valentin Ghiur
Infrastructure and validation leader with experience spanning Cisco UCS and Uber. Valentin advises on deployment architecture, validation, and recovery workflows.
Chetan Vuppulury
Researcher in mathematical physics, category theory, and topological quantum field theory, with a PhD from Sapienza University of Rome. Chetan works with Tensor on model formulation, mathematical derivations, and validation.
Sander Arts
Former first CMO at Groq, Enfabrica, and SiFive. Sander advises on product strategy, positioning, and commercialization across the semiconductor and AI infrastructure ecosystem.
Bill Barry
Co-founder and CEO of IgniteGTM and producer of the AI INFRA SUMMIT series. Bill advises Tensor on introductions, pilot sequencing, pricing, and positioning, connecting the company with infrastructure builders, operators, buyers, and investors.
Chris Hanson
Co-founder of Aromyx and Olfactive Biosolutions, with experience spanning IBM, Seagate, and government technology programs. Chris brings experience commercializing advanced sensing and cognitive computing, and supports Tensor through introductions across defense, dual-use technology, and investment.
Professor Siraj Ahmed Shaikh
Professor of Systems Security at Swansea University and co-founder and chief scientist of CyberOwl. Siraj brings expertise in secure systems engineering, operational monitoring, and the assessment of risk in deployed physical systems.
Tom Williams
Founding partner at Frontera Group and retired Army lieutenant colonel, with more than two decades of experience across the Army, Army Corps of Engineers, and Congress. Tom advises Tensor on defense-market development and building relationships across government and national security.
[04] Work with Tensor Machines
Get 10x Infra performance.
If you operate GPU infrastructure, develop workloads, or study how compute systems perform, we would like to hear what you are trying to improve. Tell us about your environment and the decision you need to make.
For partnerships, technical collaboration, and media enquiries:
muneeb@tensormachines.org