Olix
Category: AI Chips / Semiconductors
A semiconductor startup developing next-generation photonic AI hardware designed to eliminate the need for High Bandwidth Memory (HBM) in large-scale AI inference. Olix was founded in 2024. The company is led by James Dacombe. Based in London, United Kingdom. Team size: 70-200. Total funding raised: $250.0M. Latest round: Series A. Key investors include Hummingbird Ventures (Lead), Plural, Vertex Ventures, LocalGlobe, Entrepreneur First.
- Founded
- 2024
- Headquarters
- London, United Kingdom
- Team size
- 70-200
- Total funding
- $250.0M
Value proposition
Bypasses the 'memory wall' and HBM supply bottlenecks by using light-based computing to deliver significantly higher throughput and energy efficiency for AI inference at a lower cost than traditional silicon GPUs.
Products and solutions
Optical Tensor Processing Unit (OTPU), OLIX Decode Accelerator 1 (DX-1), SRAM + Photonics hybrid architecture (HBM-free), Proprietary Photonic Compute Software Stack, Next-generation AI Inference Accelerators
Unique value
Olix is re-architecting the fundamental compute pipeline to forgo HBM entirely, which is currently the most expensive and supply-constrained component in AI hardware (like Nvidia's H100/B200).
Target customer
Hyperscalers, cloud service providers, frontier AI labs (e.g., OpenAI, Anthropic), and enterprises running massive LLM inference workloads.
Industries served
Semiconductors, Artificial Intelligence (Inference), Cloud Infrastructure, Data Centers
Technology advantage
Leverages photonics to perform matrix multiplications at the speed of light with near-zero heat generation, solving the power-density and memory-bandwidth limitations of traditional CMOS-based electronics.
How they differentiate
Olix differentiates by re-architecting the compute pipeline to eliminate the need for High Bandwidth Memory (HBM) entirely. While competitors like Lightmatter focus on photonic interconnects or hybrid compute, Olix uses an Optical Tensor Processing Unit (OTPU) to bypass the 'memory wall' and supply chain bottlenecks associated with HBM.
Main competitors
Lightmatter, Celestial AI, Etched
Key partnerships
Hummingbird Ventures (Lead Investor), Plural, Vertex Ventures, LocalGlobe, Entrepreneur First
Notable customers
Hyperscale Cloud Providers (Stealth), Frontier AI Labs
Major milestones
Founded in 2024 as Flux Computing (Flux Corp Ltd), Rebranded to Olix Computing Ltd in January 2026, Developed proprietary Optical Tensor Processing Unit (OTPU) / DX-1 architecture, Raised $220M Series A at a $1B+ valuation in February 2026, Total funding ~$250M; targeting first customer deliveries ~2027
Growth metrics
Unicorn status ($1B+ valuation) via Feb 2026 Series A (~2 years after founding); ~70 employees at Series A (Plural), aiming 200+; Tracxn reports ~110 employees as of May 2026.
Market positioning
High-performance AI hardware challenger targeting the LLM inference market dominated by Nvidia.
Geographic focus
Headquartered in London, UK, with a primary market focus on North American hyperscalers and global frontier AI labs.
Patents and IP
Proprietary IP portfolio covering Optical Tensor Processing and photonic-CMOS integration (specific public filings under 'Flux Computing' or 'Olix' are currently in transition/processing).
About James Dacombe
James Dacombe is a serial entrepreneur and Thiel Fellow who dropped out of high school at age 16 to pursue software engineering. At 17, he founded CoMind, a neurotechnology company that raised over $100M to build non-invasive brain-computer interfaces. In March 2024, he founded Flux Computing (rebranded Olix Computing Ltd in January 2026) to develop next-generation photonic AI hardware, raising ~$250M total including a $220M Series A at a $1B+ valuation in February 2026; he remains CEO of both Olix and CoMind.
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Official website: https://olix.com/
