Pitango VC
Pitango Venture Capital, founded in 1993 and headquartered in Herzliya, Israel, is a prominent venture capital firm with a focus on early to growth-stage investments. It manages several funds totaling over $2.4 billion in committed capital and employs dedicated teams for early-stage, health-tech, and growth investments. With additional offices in New York and Silicon Valley, Pitango invests in a diverse range of sectors, including artificial intelligence, digital health, cybersecurity, fintech, and more. The firm has established a reputation for backing exceptional founding teams and innovative ideas, having invested in over 150 companies globally. Its strategic focus spans consumer, enterprise, and healthcare startups, particularly in regions like Israel and Saudi Arabia.
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Past deals in Oslo
Graphcore
Series E in 2020
Graphcore is a hardware systems company that develops intelligent processing units to accelerate machine learning. It designs IPUs and offers IPU-Accelerator cards that plug into servers to accelerate training and inference, and IPU-Appliance products that deliver higher performance for inference and training workloads. Founded in 2016 and headquartered in Bristol, United Kingdom, the company maintains additional locations in Palo Alto, London, Oslo, and Beijing. Its IPU architecture enables running current machine learning models orders of magnitude faster across various servers and processors, supporting a range of AI workloads.
Graphcore
Series D in 2018
Graphcore is a hardware systems company that develops intelligent processing units to accelerate machine learning. It designs IPUs and offers IPU-Accelerator cards that plug into servers to accelerate training and inference, and IPU-Appliance products that deliver higher performance for inference and training workloads. Founded in 2016 and headquartered in Bristol, United Kingdom, the company maintains additional locations in Palo Alto, London, Oslo, and Beijing. Its IPU architecture enables running current machine learning models orders of magnitude faster across various servers and processors, supporting a range of AI workloads.
Graphcore
Series C in 2017
Graphcore is a hardware systems company that develops intelligent processing units to accelerate machine learning. It designs IPUs and offers IPU-Accelerator cards that plug into servers to accelerate training and inference, and IPU-Appliance products that deliver higher performance for inference and training workloads. Founded in 2016 and headquartered in Bristol, United Kingdom, the company maintains additional locations in Palo Alto, London, Oslo, and Beijing. Its IPU architecture enables running current machine learning models orders of magnitude faster across various servers and processors, supporting a range of AI workloads.
Graphcore
Series B in 2017
Graphcore is a hardware systems company that develops intelligent processing units to accelerate machine learning. It designs IPUs and offers IPU-Accelerator cards that plug into servers to accelerate training and inference, and IPU-Appliance products that deliver higher performance for inference and training workloads. Founded in 2016 and headquartered in Bristol, United Kingdom, the company maintains additional locations in Palo Alto, London, Oslo, and Beijing. Its IPU architecture enables running current machine learning models orders of magnitude faster across various servers and processors, supporting a range of AI workloads.
Graphcore
Series A in 2016
Graphcore is a hardware systems company that develops intelligent processing units to accelerate machine learning. It designs IPUs and offers IPU-Accelerator cards that plug into servers to accelerate training and inference, and IPU-Appliance products that deliver higher performance for inference and training workloads. Founded in 2016 and headquartered in Bristol, United Kingdom, the company maintains additional locations in Palo Alto, London, Oslo, and Beijing. Its IPU architecture enables running current machine learning models orders of magnitude faster across various servers and processors, supporting a range of AI workloads.
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