Graphcore
Develops a microprocessor designed for AI and machine learning applications.
- B2B
- manufacturing
- commission
- semiconductors
- artificial intelligence
- hardware
- deep tech
- machine learning
- deep learning
- computer vision
- dt and ls
- core ai
- industrial technology
- semiconductor designers and manufacturers
- nif defense security and resilience
- industry 4.0
- ai computing infrastructure
- chips and processors
- chips
- future of computing
- industrial iot
- nif protection of critical infrastructure
- ai chips and processors
- edge processing
- techscale200
- from unicorn to zebra (but no $1b exit)
- nif ai
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor investor investor investor investor | €0.0 | round |
| investor | €0.0 | round | |
| investor investor investor investor investor investor investor | €0.0 | round | |
| investor investor investor investor investor investor investor investor investor | €0.0 | round | |
| investor investor investor investor investor investor investor investor investor investor | €0.0 Valuation: €0.0 -68.2x EV/EBITDA | round | |
| investor investor investor investor investor investor investor investor investor investor investor investor investor investor investor | €0.0 Valuation: €0.0 1409.9x EV/Revenue -30.9x EV/EBITDA | round | |
| investor | €0.0 | round | |
| investor investor investor investor investor investor investor investor | €0.0 Valuation: €0.0 416.8x EV/Revenue -15.1x EV/EBITDA | round | |
| investor investor investor investor investor | €0.0 Valuation: €0.0 592.0x EV/Revenue -21.4x EV/EBITDA | round | |
N/A Valuation: $600m 150.4x EV/Revenue | Acquisition | ||
| Total Funding | 000k | ||
| USD | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | - | - | 709 % | (52 %) | 15 % | (46 %) | 38 % |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % EBITDA margin | - | (4561 %) | (902 %) | (2761 %) | (2791 %) | (5388 %) | - |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % profit margin | - | (4531 %) | (812 %) | (2768 %) | (2916 %) | (6393 %) | (3281 %) |
| EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| R&D % of revenue | - | - | 417 % | - | - | - | - |
Source: Company filings or news article
Related Content
Graphcore.ai is a startup that operates in the artificial intelligence (AI) sector, specifically focusing on the development and deployment of Intelligence Processing Units (IPUs). These IPUs are designed to supercharge growth, streamline operations, and bring intelligence to enterprise applications. The company's primary clients are businesses looking to integrate AI into their operations or products.
Graphcore.ai offers a range of services, including cloud services, pre-trained AI models, optimized inference engines, and APIs. These services allow businesses to build and deploy AI-native products and platforms. The company's business model is based on providing these services on a subscription basis, with on-demand pricing and free tier offerings available through their cloud partners.
The company operates in the rapidly growing AI market, which is characterized by high demand for efficient and cost-effective AI solutions. Graphcore.ai's IPUs are designed to meet this demand by offering a way to save on compute costs and scale up to massive IPU compute when needed.
In terms of revenue generation, Graphcore.ai makes money by charging for the use of its IPU-powered AI services. This includes fees for using their cloud services, pre-trained models, optimized inference engines, and APIs. The company also generates income from partnerships with cloud service providers, who offer Graphcore.ai's services to their own customers.
Keywords: Artificial Intelligence, Intelligence Processing Units, Cloud Services, Pre-Trained Models, Optimized Inference Engines, APIs, Subscription-Based Business Model, On-Demand Pricing, Free Tier Offerings, Cloud Partners.