OXMIQ Labs Raises $35 Million on 7 April 2026 for AI Chip Design

OXMIQ Labs just raised $35 million in new funding. This is a big step up from their previous total of $25 million, bringing their total capital to $60 million.

As of April 7, 2026, OXMIQ Labs has finalized a $35 million Series A financing round, bringing its total capital raised to $60 million. The California-headquartered firm, which maintains a development site in Hyderabad, intends to use these funds to scale its flagship OxCore™ architecture.

The core strategy shifts from traditional full-chip production to licensing semiconductor IP. By collapsing GPU, tensor, and orchestration engines into a single design, OXMIQ aims to lower the barrier for AI silicon development, reducing the massive capital expenditure typically required to build custom chips.

Technical Scope and Business Model

The company is positioning itself to bypass the traditional "black box" model of semiconductor design. Through its OxCore platform, OXMIQ is integrating functionalities that are historically split across three distinct silicon components.

ComponentFunction
GPU EngineCUDA-compatible processing
Tensor EngineAI-specific math acceleration
OrchestrationCPU-based workload coordination
  • Near-memory compute: The architecture is designed to minimize physical data movement between memory and logic, addressing a major bottleneck in energy efficiency for AI workloads.

  • Licensing focus: Unlike traditional vendors that sell finished chips, OXMIQ provides Intellectual Property (IP), allowing partner semiconductor companies to build custom silicon without undertaking a complete multi-year design program.

  • OxFactory: Beyond hardware, the firm is developing orchestration software designed for data center-scale deployments.

Strategic Market Positioning

The funding round saw participation from major industry stakeholders, including MediaTek, Pegatron Venture Capital, CDIB-TEN, Darwin Ventures, AM Intelligence Labs, and Morgan Creek Digital.

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OXMIQ Labs raises $35 million - 1

"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." — Raja Koduri, CEO, OXMIQ Labs.

The firm's founder, Raja Koduri, is a prominent figure in the semiconductor industry, previously holding executive and architect roles at both Intel and AMD. The company's roadmap describes a shift from "Atoms to Agents," indicating an ambition to influence the stack from basic silicon design up to the orchestration of autonomous AI agents in data centers.

Background and Context

Current state-of-the-art AI infrastructure is constrained by high costs and a limited number of supply chain channels. Developing cutting-edge AI hardware usually involves hundreds of millions of dollars in investment and long development cycles.

OXMIQ’s approach is an attempt to democratize the "AI factory" by providing the building blocks for companies to construct their own specialized infrastructure. By partnering with firms like AM Intelligence Labs to architect data centers, the company is moving toward an end-to-end integration strategy—spanning from silicon design to the orchestration software that manages massive compute clusters.

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The inclusion of Jim Keller (CEO of Tenstorrent) on the board further emphasizes the industry’s interest in shifting toward open, configurable compute architectures as a counter-move to the dominance of proprietary, closed-stack incumbents.

Frequently Asked Questions

Q: How much money did OXMIQ Labs raise on 7 April 2026?
OXMIQ Labs secured $35 million in a Series A funding round. This brings their total money raised to $60 million to help scale their new OxCore chip technology.
Q: What does OXMIQ Labs plan to do with the $35 million funding?
The company plans to use the money to license their OxCore semiconductor designs. This allows other companies to build custom AI chips without needing the massive budgets usually required for chip design.
Q: Who is the CEO of OXMIQ Labs and what is his background?
The CEO is Raja Koduri, a well-known expert in the chip industry. He previously worked as a top architect and executive at both Intel and AMD before starting this company.
Q: How does the OxCore architecture help AI companies?
OxCore combines GPU, tensor, and orchestration engines into one design. This reduces the need for data to move between parts, which saves energy and makes AI work much faster for data centers.