Financials

Estimates*

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Revenues, earnings & profits over time
USD2017201820192020202120222023
Revenues-1.2m9.8m4.7m5.4m2.9m7.1m
% growth--709 %(52 %)15 %(46 %)146 %
EBITDA(22.0m)(55.0m)(88.0m)(129m)(150m)(156m)-
% EBITDA margin-(4561 %)(902 %)(2761 %)(2791 %)(5388 %)-
Profit(18.5m)(54.6m)(79.2m)(130m)(157m)(185m)-
% profit margin-(4531 %)(812 %)(2768 %)(2916 %)(6393 %)-
R&D budget--40.7m----
R&D % of revenue--417 %----

Source: Dealroom estimates

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Recent News about Graphcore

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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.

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