d-Matrix
This company is in the pipeline of America 2030, IPO CLUB’s $50M, actively managed secondary fund focused on U.S. defense, energy, security, and AI.
Updated in January 2026
Headquarter: Santa Clara, California, USA
Year Founded: 2019
Leadership: Sid Sheth
Industry Sectors: Semiconductors; AI hardware; AI inference compute for data centers
Funding Round: $275 M Series C (Nov 2025)
Valuation: ~$2 billion post-Series C
Is d-Matrix A Public Company? No, it is privately held
What Is d-Matrix?
d-Matrix is a U.S.-based semiconductor company founded in 2019 and headquartered in Santa Clara, California, focused on accelerating generative AI inference in data centers. The company’s mission is to dramatically reduce the cost, power consumption, and latency of deploying large language models (LLMs) and other transformer-based workloads at scale, addressing the economic and efficiency challenges faced by hyperscalers and enterprises as AI inference demand rapidly outpaces training.
Technology & Products
d-Matrix develops purpose-built digital in-memory computing (DIMC) processors optimized specifically for AI inference, rather than training. Its flagship product line, including the Corsair™ inference platform, combines custom silicon, advanced packaging, and a full-stack software environment designed to efficiently execute transformer models with high throughput and low energy consumption. Unlike GPU-based approaches, d-Matrix’s architecture focuses on maximizing utilization for inference workloads, enabling scalable deployment of large models with significantly improved performance-per-watt and total cost of ownership.
Market Opportunity
The company targets the rapidly expanding AI inference market, driven by widespread adoption of large language models, recommendation systems, and generative AI applications across cloud service providers, enterprises, and AI-native startups. As inference workloads are expected to represent the majority of AI compute spending over time, d-Matrix positions itself to serve data center operators seeking more economically sustainable alternatives to GPUs. The opportunity is amplified by rising energy constraints, infrastructure costs, and the need for predictable, low-latency AI services in production environments.
Competitive Landscape
d-Matrix operates in the competitive AI accelerator ecosystem alongside GPU incumbents and emerging inference-focused chipmakers. The company differentiates itself through its inference-first architecture, digital in-memory computing approach, and emphasis on cost-efficient scaling for large models, rather than general-purpose acceleration. While the website emphasizes differentiation versus GPU-centric solutions, specific named competitors are not mentioned on the website.
How To Buy d-Matrix Stock?
d-Matrix is currently a private company and is not publicly traded on major stock exchanges like the NASDAQ or NYSE. This means you can buy shares through a pre-IPO platform or brokerage like IPO CLUB.
d-Matrix JetStream AI accelerator
This company is in the pipeline of America 2030, IPO CLUB’s $50M, actively managed secondary fund focused on U.S. defense, energy, security, and AI.
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