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OLIX

Full company profile

uuid00f27h1

Namestring
OLIX
Legal namestring
OLIX Computing Ltd.
Websiteurl
olix.com
Company typeenum
Private
Founded yearint
2024
Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
101–250
akta.pro rankint
HeadquartersLondon, United Kingdom
HQ citystring
London
HQ countrystring
United Kingdom
HQ regionstring
Europe
Markets served

Serves global market

Offices5 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
photonic AI accelerators, optical tensor processing, AI inference hardware, SRAM photonic chips, decode accelerator systems
Industry4 codes
1AI Accelerators (GPUs/TPUs/NPUs/ASICs)
CodeHDAAAAAAPrimaryYes
2AI Server Systems & HGX/Accelerator Platforms
CodeHDAAAAABPrimaryNo
3Compute & Acceleration ICs (CPU/GPU/AI/FPGA/ASIC)
CodeHDAHABACPrimaryNo
4AI Compiler, Runtime & Kernel Optimization Software (CUDA/ROCm/XLA, graph compilers)
CodeHDAAAAAIPrimaryNo
NAICS code2 codes
  • Semiconductor and Related Device Manufacturing334413
  • Software Publishers5132
SIC code2 codes
  • Electronic Computers3571
  • Services-Computer Integrated Systems Design7373
Product category
AI Semiconductor / Photonic AI Accelerators
Social media profiles2 records
GTM motion2 records

Each record includes

Type, Description, Source

Revenue model2 records
1AI Chip Hardware Sales
TypeHardware Sales
Description

Sale of photonic AI accelerator chips (OTPU/DX-1) to AI data centers and hyperscalers. First products planned for customer delivery by 2027. Hardware revenue from direct sales to enterprise buyers.

datacenterdynamics.com
2System/Platform Sales
TypeHardware Sales
Description

Full system sales including rack-scale computing solutions. The company is developing complete accelerator systems with integrated software stack.

siliconangle.com
Marketing channels5 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels1 record

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Supply Chain, Operations, Infrastructure
GTM typeB2B
B2B
Offering typeHardware or Manufacturing
Hardware or Manufacturing
Core offering1 text field

OLIX designs and develops optical AI accelerators, including its Optical Tensor Processing Unit (OTPU) and the DX-1 Decode Accelerator system, built on SRAM architecture integrated with photonics. The products target AI inference workloads, combining photonic hardware with a compiler software stack that adapts existing AI models to run on the architecture, with first customer deliveries planned for 2027.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 3 values shown
  • Superior throughput/MW and TCO vs HBM-based architectures
+2 more records
Product overview1 text field

OLIX is developing a new class of AI inference accelerators based on its Optical Tensor Processing Unit (OTPU) technology. The core product portfolio consists of the OTPU chip (a photonic AI accelerator using SRAM integrated with photonics rather than traditional HBM memory) and the DX-1 Decode Accelerator system (the first accelerator architected specifically for AI decode workloads). A supporting software compiler enables existing AI models to be adapted to run on OLIX hardware. This represents a unified hardware-software solution targeting the inference era of AI, where high throughput and high interactivity are required simultaneously.

Scale indicator8 records

Each record includes

Type, Value, Description, Source

Partnership1 partner
1Chiral
Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2026-02-01
Description

Nanomaterials company emerging from ETH Zurich; OLIX led Chiral's $12M seed round, focusing on post-silicon computing with carbon nanotubes and transition-metal dichalcogenides for nano-transistors and quantum processor qubits.

Recent move8 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
1Lightelligence
TypeDirect peer
Description

China/US photonic computing startup developing optical AI accelerators. Directly comparable architecture (photonics for AI workloads) and overlapping customer segment in hyperscalers and large AI data centers.

2AMD
TypeBroad incumbent
Description

Incumbent accelerator vendor with the MI300/MI325X/MI350 series competing for AI training and inference workloads. Comparable as a broader-portfolio incumbent pursuing the same hyperscaler customers with HBM-based GPUs.

3Groq
TypeDirect peer
Description

AI inference chip company whose LPU architecture targets low-latency, high-throughput inference — directly competing for the same hyperscaler and AI data center customers OLIX targets, though with silicon-only rather than photonic implementation.

4Tenstorrent
TypeEmerging player
Description

AI chip startup developing RISC-V-based accelerators for training and inference. Comparable as an emerging AI silicon challenger, though focused on general-purpose AI compute rather than inference-specific photonic acceleration.

5Nvidia
TypeBroad incumbent
Description

Dominant incumbent in AI accelerators (H100, B200, Rubin) with the deepest software (CUDA), supply chain, and customer moats. The primary competitor OLIX must displace at hyperscalers and AI data centers.

6Lightmatter
TypeDirect peer
Description

US-based photonic AI accelerator company building optical compute chips and interconnects for AI inference and training. Most directly comparable peer to OLIX — same fundamental photonic compute thesis, similar hyperscaler-focused GTM, and active commercial deployments.

7Cerebras Systems
TypeDirect peer
Description

Wafer-scale AI accelerator company whose WSE chips target training and inference at hyperscale. Directly comparable as a non-Nvidia AI accelerator competing for the same enterprise AI infrastructure buyers, with publicly disclosed customers and deployed systems.

8SambaNova Systems
TypeDirect peer
Description

AI accelerator company (RDU) targeting enterprise and hyperscale inference and training. Directly comparable as a well-funded challenger to Nvidia's AI compute stack with an established customer base in enterprises and government.

9FuriosaAI
TypeEmerging player
Description

Korean AI inference chip startup (RNGD) targeting data center customers with a non-Nvidia accelerator. Comparable as a regionally-rooted, well-funded AI inference chip challenger with a similar enterprise-focused GTM motion.

10Etched
TypeEmerging player
Description

AI chip startup building a transformer-specific ASIC (Sohu) for inference. Comparable as a recently-funded, architecture-specialized AI inference challenger targeting the same throughput/interactivity tradeoff OLIX addresses.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat4 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Segment2 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile2 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability3 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature5 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles1 record

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds4 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors15 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

OLIX

AI Semiconductor / Photonic AI Acceleratorsolix.com

OLIX firmographics

Firmographics
Name
OLIX
Legal name
OLIX Computing Ltd.
Website
https://olix.com
Company type
Private
Founded year
2024
Operating status
Operating
Headcount range
101–250 employees
Ownership category
akta.pro rank

OLIX industry classification

Industry
Product category
AI Semiconductor / Photonic AI Accelerators
NAICS
Semiconductor and Related Device Manufacturing (334413), Software Publishers (5132)
SIC
Electronic Computers (3571), Services-Computer Integrated Systems Design (7373)
akta.pro primary industry
AI Accelerators (GPUs/TPUs/NPUs/ASICs) (HDAAAAAA)
akta.pro secondary industries
AI Server Systems & HGX/Accelerator Platforms (HDAAAAAB), Compute & Acceleration ICs (CPU/GPU/AI/FPGA/ASIC) (HDAHABAC), AI Compiler, Runtime & Kernel Optimization Software (CUDA/ROCm/XLA, graph compilers) (HDAAAAAI)

Keywords

  • Photonic AI accelerators
  • Optical tensor processing
  • AI inference hardware
  • SRAM photonic chips
  • Decode accelerator systems

Where OLIX is headquartered

Location

Headquarters

HQ city
London
HQ country
United Kingdom
HQ region
Europe

Offices5 records

Markets served

OLIX business model

Business model
GTM type
B2B
Offering type
Hardware or Manufacturing
Cost components
Personnel, Technology or R&D, Supply Chain, Operations, Infrastructure

Revenue model

  1. AI Chip Hardware Sales: Sale of photonic AI accelerator chips (OTPU/DX-1) to AI data centers and hyperscalers. First products planned for customer delivery by 2027. Hardware revenue from direct sales to enterprise buyers.
  2. System/Platform Sales: Full system sales including rack-scale computing solutions. The company is developing complete accelerator systems with integrated software stack.

Go-to-market motion2 records

Distribution channels1 record

Marketing channels5 records

OLIX product offering

Product offering

Core offering

OLIX designs and develops optical AI accelerators, including its Optical Tensor Processing Unit (OTPU) and the DX-1 Decode Accelerator system, built on SRAM architecture integrated with photonics. The products target AI inference workloads, combining photonic hardware with a compiler software stack that adapts existing AI models to run on the architecture, with first customer deliveries planned for 2027.

Product overview

OLIX is developing a new class of AI inference accelerators based on its Optical Tensor Processing Unit (OTPU) technology. The core product portfolio consists of the OTPU chip (a photonic AI accelerator using SRAM integrated with photonics rather than traditional HBM memory) and the DX-1 Decode Accelerator system (the first accelerator architected specifically for AI decode workloads). A supporting software compiler enables existing AI models to be adapted to run on OLIX hardware. This represents a unified hardware-software solution targeting the inference era of AI, where high throughput and high interactivity are required simultaneously.

Differentiator

Problem solved

Functional benefit

Quantifiable outcome

  • Superior throughput/MW and TCO vs HBM-based architectures
  • +2 more outcomes

Companies that use OLIX

Customer profile

Segments2 records

Ideal customer profiles2 records

OLIX technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability3 records

Feature5 records

OLIX partnerships and signals

Strategic signal

Partnerships

One partnership is on record.

  • ChiralminorStrategic or Co-development Partner · 1 February 2026Nanomaterials company emerging from ETH Zurich; OLIX led Chiral's $12M seed round, focusing on post-silicon computing with carbon nanotubes and transition-metal dichalcogenides for nano-transistors and quantum processor qubits.

Scale indicators8 records

Recent moves8 records

Expansion highlights6 records

OLIX competitors and assessment

Company assessment

Direct peers

  • Lightelligence: China/US photonic computing startup developing optical AI accelerators. Directly comparable architecture (photonics for AI workloads) and overlapping customer segment in hyperscalers and large AI data centers.
  • Groq: AI inference chip company whose LPU architecture targets low-latency, high-throughput inference — directly competing for the same hyperscaler and AI data center customers OLIX targets, though with silicon-only rather than photonic implementation.
  • Lightmatter: US-based photonic AI accelerator company building optical compute chips and interconnects for AI inference and training. Most directly comparable peer to OLIX — same fundamental photonic compute thesis, similar hyperscaler-focused GTM, and active commercial deployments.
  • Cerebras Systems: Wafer-scale AI accelerator company whose WSE chips target training and inference at hyperscale. Directly comparable as a non-Nvidia AI accelerator competing for the same enterprise AI infrastructure buyers, with publicly disclosed customers and deployed systems.
  • SambaNova Systems: AI accelerator company (RDU) targeting enterprise and hyperscale inference and training. Directly comparable as a well-funded challenger to Nvidia's AI compute stack with an established customer base in enterprises and government.

Broad incumbents

  • AMD: Incumbent accelerator vendor with the MI300/MI325X/MI350 series competing for AI training and inference workloads. Comparable as a broader-portfolio incumbent pursuing the same hyperscaler customers with HBM-based GPUs.
  • Nvidia: Dominant incumbent in AI accelerators (H100, B200, Rubin) with the deepest software (CUDA), supply chain, and customer moats. The primary competitor OLIX must displace at hyperscalers and AI data centers.

Emerging players

  • Tenstorrent: AI chip startup developing RISC-V-based accelerators for training and inference. Comparable as an emerging AI silicon challenger, though focused on general-purpose AI compute rather than inference-specific photonic acceleration.
  • FuriosaAI: Korean AI inference chip startup (RNGD) targeting data center customers with a non-Nvidia accelerator. Comparable as a regionally-rooted, well-funded AI inference chip challenger with a similar enterprise-focused GTM motion.
  • Etched: AI chip startup building a transformer-specific ASIC (Sohu) for inference. Comparable as a recently-funded, architecture-specialized AI inference challenger targeting the same throughput/interactivity tradeoff OLIX addresses.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

OLIX social profiles

Digital presence

OLIX financial estimates

Financial estimate

Revenue estimate

Valuation estimate

OLIX leadership team

Management profile

Number of profiles

Profiles1 record

OLIX funding detail

Funding detail

Funding overview

Funding rounds4 records

Investors15 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

OLIX M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about OLIX

What does OLIX do?

OLIX designs and develops optical AI accelerators, including its Optical Tensor Processing Unit (OTPU) and the DX-1 Decode Accelerator system, built on SRAM architecture integrated with photonics. The products target AI inference workloads, combining photonic hardware with a compiler software stack that adapts existing AI models to run on the architecture, with first customer deliveries planned for 2027.

Is OLIX a public or private company?

OLIX is a private company. It is classified as venture growth investor backed and is currently operating.

When was OLIX founded?

OLIX was founded in 2024. It employs 101 to 250 people.

Where is OLIX based?

OLIX is headquartered in London, United Kingdom, in the Europe region.

How does OLIX make money?

Two revenue lines are on record. AI Chip Hardware Sales are the primary driver. The others are system/Platform Sales.

Who are OLIX's main competitors?

Direct peers on record are Lightelligence, Groq, Lightmatter, Cerebras Systems and SambaNova Systems. Broad incumbents are AMD and Nvidia. Emerging players are Tenstorrent, FuriosaAI and Etched.

Does OLIX have an API?

No public API is recorded for OLIX.

What industry is OLIX in?

OLIX's product category is AI Semiconductor / Photonic AI Accelerators. Its primary akta.pro industry code is HDAAAAAA, AI Accelerators (GPUs/TPUs/NPUs/ASICs), with a secondary code of HDAAAAAB, AI Server Systems & HGX/Accelerator Platforms. Its NAICS code is 334413 and its SIC code is 3571.

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Live signals
VestbeeTop European funding rounds closed in August 2026European startups closed funding rounds in August 2026, including Lovable's $400M Series C at a $13.3B valuation and OLIX's $312M Series B. Other deals span AI, energy, and biotech, with valuations ranging from $1B to $13.3B.LinkedInChipMango Raises $1.9M for Semiconductor Talent and InnovationOLIX raised $312 million at a $3.3 billion valuation and Volta emerged from stealth with $300 million at $2.4 billion, both labeled sovereign. The author argues that European champions financed by American capital and earning revenue from America are suppliers, not sovereign, and calls for domestic growth capital and a first government customer.36krSam Altman Bluntly States: Four Years Is Too Long – A 2-Year University Education Is SufficientSam Altman said two years of university is enough, as marginal returns drop after that. He cited his own dropout from Stanford and the rise of AI tools that reduce the need for traditional credentials. He also advised outsourcing compliance to focus on core work.Crypto BriefingUK government commits £1.1 billion to chip startups in bid to build domestic AI hardware sectorThe UK government announced a £1.1 billion AI Hardware Plan to develop a domestic semiconductor industry, featuring a £150 million advance purchase of inference chips from startups Olix and Fractile. The initiative also includes funding for a national AI supercomputer and aims to capture 5% of the global AI chip market by the early 2030s. This strategy seeks to retain homegrown talent and technology by providing guaranteed demand and reducing early-stage manufacturing risks.BusinessinsiderJames Dacombe, el joven de 25 años que abandonó la universidad y se ha convertido en el multimillonario más joven de EuropaJames Dacombe, 25, became Europe's youngest self-made multimillionaire after founding Olix, a chip company that tripled to $3.3 billion in six months. He holds a 12% stake in CoMind, which raised $102.5 million in August 2025. His photonic chips are expected to launch in 2027.The Times of IndiaJames Dacombe: The Gen Z founder who left school at 17 and built a $3.3 billion AI chip company, becoming Europe’s youngest self-made billionaire at 25James Dacombe, a 25-year-old British entrepreneur, became Europe’s youngest self-made billionaire following his AI chip company Olix's $312 million funding round at a $3.3 billion valuation in August 2026. Dacombe holds approximately a 30% stake in Olix, which he founded after previously launching the brain-technology firm CoMind. This financial milestone places him among a small group of young founders whose wealth has surged due to high valuations in the private technology sector.Capital.grΠοιος είναι ο 25χρονος Βρετανός που έγινε ο νεότερος αυτοδημιούργητος δισεκατομμυριούχος της ΕυρώπηςJames Dacombe has become Europe's youngest self-made billionaire at age 25 following a $312 million funding round for his chip startup Olix, which reached a valuation of $3.3 billion. The investment included major participants such as Arm and the UK government's Sovereign AI Fund, highlighting the company's focus on specialized photonic chips for AI inference.The Times of IndiaEurope’s youngest self-made billionaire: James Dacombe dropped out of high school at 17 to build his startup and now his wealth has crossed the $1 billion mark at 25James Dacombe, a 25-year-old British entrepreneur, has become Europe’s youngest self-made billionaire after the valuation of his AI chip startup Olix surged following a $312 million funding round. Dacombe holds an estimated 30% stake in Olix, which is now valued at approximately $3.3 billion, while also maintaining a significant ownership position in his earlier venture, CoMind. This financial milestone places him among a small group of young tech founders who have achieved billionaire status through artificial intelligence developments.FortuneBillionaire Gen Zer dropped out of high school to launch his start-up at 17—now he’s Europe's richestJames Dacombe, a 25-year-old British entrepreneur, has become Europe's youngest self-made billionaire following a $312 million investment round that valued his AI chip company Olix at $3.3 billion. Dacombe also holds a significant stake in CoMind, another startup he founded, which recently raised $102.5 million. This event highlights the rapid accumulation of wealth among Gen Z founders in the artificial intelligence sector.GulfNewsJames Dacombe becomes Europe’s youngest self-made billionaire as AI chip startup Olix hits $3.3 billion valuationLondon-based AI chip startup Olix raised $312 million in a funding round, tripling its valuation to $3.3 billion and propelling founder James Dacombe into the ranks of Europe’s youngest self-made billionaires. The investment was led by Fundomo and included participation from Arm, Hudson River Trading, Netflix co-founder Reed Hastings, and the UK government-backed Sovereign AI Fund. Olix is developing specialized photonic processors for AI inference, aiming to compete with dominant players like Nvidia with products targeted for delivery in 2027.