OXMIQ Raises $35 Million to Scale OxCore™ Architecture

OXMIQ Labs Inc., a unified GPU and AI architecture company founded by Raja Koduri, today closed its $35 million Series A financing, bringing the company’s total capital raised to $60 million. The funding will scale OxCore™, OXMIQ’s licensable GPU architecture that allows semiconductor companies and AI system builders to build custom AI silicon without a full chip program. The round was co-led by Fundomo and Samsung Catalyst Fund, with participation from MediaTek, AM Intelligence Labs, Pegatron Venture Capital, CDIB-TEN, Darwin Ventures, and Morgan Creek Digital, among other financial and strategic investors. OXMIQ’s expertise spans the full AI stack, from renewable power and data center infrastructure to silicon IP, electron-to-token machines (ETMs™), along with the software that runs AI factories and agents.

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OXMIQ Funding raised to date of $60M after current $35M round.

One Core, Three Engines

Token demand is outpacing the world’s ability to build infrastructure to serve it. OXMIQ was founded to re-architect the GPU stack from Atoms to Agents™, building the silicon IP, configurable systems and software platform that enable semiconductor companies and AI infrastructure builders to drive down the cost of intelligence at every layer of the stack.

At the center of the architecture is OxCore™, a scalable, licensable GPU core that integrates three distinct compute engines: a CUDA^®-compatible GPU engine, a tensor processing engine, and an orchestration engine (CPU) responsible for coordinating workloads and agents across the system. OxCore tightly couples compute functionality that is typically split across three chips, and was purpose-built for near-memory compute, minimizing data movement to enhance compute and energy efficiency of AI workloads. OxCore was designed for scalability and the architecture scales efficiently from single-core AI deployments to large-scale datacenter configurations. OxCore is running on FPGA today, with live demonstrations available.

OxQuilt™, OXMIQ’s chiplet integration architecture, combines heterogeneous compute chiplets and memory in a single package. Most AI silicon designs are locked to a specific foundry and memory type. OxQuilt instead adapts to any supply chain, with configuration tools that let customers design across logic process nodes, memory types, interconnect standards, and advanced packaging options. By making high-performance AI compute licensable and configurable, OXMIQ lets any design team build custom AI silicon packages without needing cost-prohibitive full chip programs. The architecture is also designed to incorporate emerging interconnect technologies such as silicon photonics as they reach production readiness.

OXMIQ pairs the hardware with a software stack spanning OxCapsule™ for high-level orchestration to low-level kernel optimization. OxPython™ runs existing CUDA^® and PyTorch^® code on OxCore without code changes, giving developers full portability across hardware. This stack supports emerging silicon architectures for optimized inference at scale and delivers day-zero support for new models. OxPython has been validated on third-party platforms with live demos available.

OXMIQ’s IP-first model is built for capital efficiency. By focusing on new architecture IP rather than full SoC development, the company generates revenue from customer engagements while preserving capital for building the stack.

“We are very excited to co-lead OXMIQ’s financing round and back Raja Koduri and the strong team at OXMIQ,” said David (Dede) Goldschmidt, SVP & Managing Director, Head of the Samsung Catalyst Fund.“OXMIQ’s novel AI core and software platform enable heterogeneous compute for efficient, custom inference solutions serving large-scale agentic workloads.”

“Raja has built silicon at every layer of the stack, and he knows exactly where the constraints sit. Most compute IP makes the customer bend their memory, packaging, and foundry around the chip. OXMIQ does the opposite, and that flips a cost center into leverage. We backed this team because they will define how AI compute gets built this decade,” said Rajeev Surati, Partner at Fundomo.

An Expanding Team

OXMIQ has strengthened its board and advisory ranks with two additions that bring decades of silicon pedigree. Jim Keller, CEO of Tenstorrent and among the most influential chip architects in the industry, joins the board of directors alongside existing board member Dr. Ker Zhang. Dr. Valluri (Bob) Rao, a renowned Fellow who retired from Intel’s process technology group, joins as an advisor. Together, they deepen OXMIQ’s leadership as the company moves from architecture to customer integration.

“I am excited to join the OXMIQ board. Raja and this team are creating an open GPU architecture, a much-needed step toward removing the artificial boundaries around AI innovation. As the industry concentrates around a few incumbents, this is more important than ever. OXMIQ’s open, configurable foundation, which developers can build on and own, is exactly where compute should be heading,” said Jim Keller, CEO of Tenstorrent and OXMIQ board member.

Raja Koduri, OXMIQ founder and CEO, added: “A licensable core with an open architecture means design teams everywhere can build the custom AI silicon their work needs. Today, state-of-the-art AI reaches most people through a handful of channels, and the cost of the compute underneath is the reason. Bring that cost down, and you widen who gets to build with it. I believe AI is a force for good when it is a tool everyone can pick up and use, not just the few who can afford to build with it. Closing this round with investors who own the supply chain tells us we can get there.”

Get Involved

OXMIQ is working with semiconductor companies, neoclouds, AI system builders, and physical AI/robotics companies ready to own their compute roadmap. For licensing and partnership inquiries, contact licensing@oxmiq.ai.

Investors

The round was co-led by Fundomo, a New York venture firm focused on frontier compute infrastructure, and Samsung Catalyst Fund, Samsung Electronics’ evergreen multi-stage venture capital fund that invests in deep tech AI infrastructure. MediaTek, a seed investor and one of the world’s leading fabless semiconductor companies, is reinvesting.

Lawrence Loh, SVP of MediaTek, said, “MediaTek is actively powering today’s advanced AI capabilities from the edge to the cloud. Our investment in OXMIQ underscores this push and combines our AI ambitions with their highly flexible GPU architecture. We see this investment as a way to continue unlocking unprecedented on-device AI performance across all technology platforms.”

AM Intelligence Labs, part of the AM Green Group; a global leader in clean energy generation and scaled energy storage systems, global green hydrogen molecule market, and building AI infrastructure & token delivery factories; joins this round as an investor. The move extends the collaboration behind the 5GW AI factory initiative, including a 3GW renewable-powered AI compute platform, that AMI is building in India. CDIB-TEN is a joint fund between CDIB Capital, a leading Asian PE/VC firm expanding its asset management business through a strong regional presence anchored by over 65 years of investment heritage in Taiwan, and TEN Capital Corporation is a prestigious fund management company that is deeply wired into the semiconductor ecosystem in Taiwan and North America. Pegatron Venture Capital, the investment arm of one of the world's largest ODMs and system integrators, adds manufacturing and systems depth to carry chiplet AI accelerator designs from architecture to deployment. Morgan Creek Digital, an investor focused on AI and digital infrastructure, joins the round on the thesis that compute capacity and architecture choice will define the AI economy this decade. Darwin Venture Management, a Taipei-based venture firm investing across the Taiwan-Silicon Valley technology corridor, brings cross-border conviction that mirrors OXMIQ's own design and supply chain footprint. Intel Capital rounds out the group as a strategic IP partner, adding to OXMIQ's design and engineering depth.

About OXMIQ Labs

OXMIQ Labs is a GPU and AI architecture company with expertise spanning every layer of the AI stack, from renewable energy and data center infrastructure to silicon IP, electron-to-token machines, and cloud software for AI factories and agents. OXMIQ develops licensable compute IP and adaptive AI infrastructure software. The OXMIQ stack, OxCore™, OxQuilt™, OxPython™ and OxCapsule™, enables semiconductor companies, neoclouds, and AI system builders to develop and deploy custom AI compute across the full spectrum of AI applications. The company’s mission is to re-architect the GPU stack: from Atoms to Agents™, making high-performance AI compute available, affordable, and within reach of design teams and builders who need it. Founded by Raja Koduri, OXMIQ is headquartered in Campbell, California, with a development site in Hyderabad, India. Learn more at oxmiq.ai.

Trademark Acknowledgments

CUDA^® is a trademark or registered trademark of NVIDIA Corporation in the U.S. and other countries. PyTorch is a trademark of the Linux Foundation. All other product names, trademarks and registered trademarks are the property of their respective owners and are used for identification purposes only.

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