The September AI company investment ranking has been released, with the highest investment reaching 4 billion US dollars.

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With the explosion of large model technology, the artificial intelligence industry has also attracted the attention of many capital. Whether it is an enterprise that develops basic large models or a company researching the application of AI, as long as it carries the name of artificial intelligence, it can attract a lot of investment. And these huge investment transactions have also attracted the attention of many onlookers.

We previously compiled a list of the top ten AI companies by investment amount in August of this year, and in the just past September, a similar list was released. In this list, the top spot was taken by Anthropic, which just announced a large investment from Amazon.

1. Anthropic

In late September, Anthropic announced a partnership with Amazon, with Amazon investing $4 billion in Anthropic and holding a portion of its equity.

In addition to the investment, the two parties will also combine their respective technological advantages to jointly promote the development of large model technology. In addition, Anthropic will also receive AWS Trainium and Inferentia chips provided by Amazon to build, train, and deploy its future basic models. Amazon's staff can also use Anthropic models to build products with Amazon Bedrock, incorporating more generative AI technology into their work to improve the user experience in Amazon's various businesses.

Anthropic is an AI startup founded in 2021. The company was founded by Dario Amodei, former Vice President of Research at OpenAI, and Tom Brown, a large model researcher. After several years of development, the company has become one of the main competitors of OpenAI. Their flagship product, Claude, has begun public testing, providing services such as dialogue and text processing. According to Anthropic, Claude can now handle up to 100,000 tokens and process a large amount of text content such as stories, letters, and memos.

2. Databricks

The second-ranked Databricks announced in late September of this year that it had raised over $500 million in a new round of financing, with a latest valuation of $43 billion, an increase of $5 billion from the previous valuation.

The round of financing for Databricks was led by Franklin Templeton, with participation from Nvidia and Capital One Ventures, and other participants including Octahedron Capital, Tiger Global Fund, and Counterpoint Global under Morgan Stanley.

Founded in 2013, Databricks previously focused on providing data analysis services to customers, but recently, Databricks has been involved in the development of many AI application platforms. Databricks owns the data platform lakehouse, which provides users with unified data, analysis, and AI deployment. This software not only helps users manage enterprise data, but also quickly helps users build generative artificial intelligence solutions.

3.Helsing

Ranked third is Helsing, which is not as well-known as the top two companies. However, in mid-September, Helsing announced that it had raised $223 million in Series B financing.

This financing was led by General Catalyst, with strategic investors Saab and the Swedish aerospace industry participating in the financing. Helsing did not disclose the specific use of this funding.

Founded in 2021, Helsing has been committed to using AI technology to enhance military technology. Since its establishment, Helsing has focused on creating AI-driven military solutions and components, and its products have not been made public.

4.Imbue

Ranked fourth is the AI startup company Imbue, which received a $200 million investment in early September, with a valuation exceeding $1 billion.

This round of financing was led by the non-profit organization Astera Institute founded by Jed McCaleb, with participation from Kyle Vogt, CEO of Cruise, and Nvidia. It is reported that this funding will help Imbue accelerate the development of AI systems to help them achieve larger goals.

Founded in April 2021, Imbue is based in San Francisco, California, USA. The company is currently in the technical research and development stage and has not released any AI products. Imbue stated that they are not in a hurry to launch products into the market, but hope to use these models and tools as a way to achieve AGI, providing a platform for people to create their own custom models.

Currently, Imbue is developing a super-large model with over 100 billion parameters, the name of which has not been determined. Imbue claims to have ten thousand Nvidia H100 GPUs to help them iterate models quickly.

5.Enfabrica

Silicon Valley startup Enfabrica ranks fifth with a financing amount of $126 million.

This round of financing was led by Atreides Management, with participation from familiar partner Nvidia, as well as IAG Capital Partners, Liberty Global Ventures, Valor Equity Partners, Infinitum Partners, and Alumni Ventures.

Enfabrica plans to use this investment to accelerate the production of hardware device Fabric Switch and its solutions. This is a hardware device launched by Enfabrica that can reduce the computing cost of data center GPUs and accelerated computing clusters by 50% and expand memory by 50 times.

Founded in 2020, the founding team of Enfabrica comes from companies such as Broadcom, Cisco, and Google. Enfabrica's main products include a network chip that can connect different parts of the data center in a new way and improve the efficiency of GPU utilization.

6.d-matrix

Ranking sixth is the AI chip startup company d-matrix, which received $110 million in Series B financing in early September.

This round of financing was led by Temasek, with Playground Global, Microsoft's M12 Ventures, Nautilus Venture Partners, Entrada Ventures, Industry Ventures, Ericsson Ventures, Marlan Holdings, Mirae Asset, and Samsung Ventures participating in the investment. It is reported that d-Matrix plans to invest the new funds in the recruitment and commercialization of its Corsair platform.

Founded in 2019 and headquartered in Silicon Valley, d-matrix's main work is to produce chips for generative artificial intelligence and large language models. d-Matrix has shipped over 1 billion chips, with revenue exceeding $1 billion. d-matrix aims to solve the integration of computing and storage issues through its digital storage and computing architecture, thereby improving the efficiency of artificial intelligence computing power.

7.Writer

The seventh spot is held by Writer, a company focused on text generation, which announced the completion of $100 million in Series B financing in mid-September, with a valuation exceeding $500 million.

This round of financing was led by ICONIQ Growth, with investors including WndrCo, Balderton Capital, Insight Partners, Aspect Ventures, Accenture, and Vanguard. Writer did not disclose the specific use of this financing.

Founded in 2020, Writer focuses on generating and editing text content, aiming to maximize creativity and productivity in the business process for customers. Writer owns three products, including its own large language model PALMYRA, which helps users in different fields generate different texts. Additionally, Writer also has knowledge graph and AI guardrails technology, the former of which helps various enterprises organize key information and documents and provide accurate answers and insights. The latter ensures that text content is compliant and accurate, avoiding lengthy manual editing and review cycles.

8.Inceptive

AI pharmaceutical company Inceptive ranks eighth with an investment amount of $100 million. The company's total funding has exceeded $120 million, with a valuation of $300 million.

This financing is Inceptive's Series A financing, with participation from a16z, Nvidia's venture capital arm NVentures, and Obvious Ventures. Inceptive stated that this financing will be used to enhance the artificial intelligence platform and molecular design capabilities.

Founded in 2021 by Jakob Uszkoreit, one of the creators of Google Brain, and Rhiju Das, associate professor at Stanford University, the company is dedicated to using deep learning to design RNA drugs, especially mRNA. Currently, Inceptive has 310 pilot projects at various stages from preclinical to clinical trials and has partnered with a large European pharmaceutical company to jointly develop a new type of mRNA vaccine for infectious diseases. Jakob Uszkoreit estimates that there will be approximately 700 mRNA-based drugs in the next ten years.

9.Pryon

The ninth-ranked company is called Pryon, which received $100 million in Series B financing in mid-September.

This financing was led by the U.S. Innovation Technology Fund, with participation from Aperture Venture Capital, BootstrapLabs, Breyer Capital, Duke Capital Partners, Good Growth Capital, Omimed Capital, and Revolutions Rise of Rest Seeds Fund. It is reported that this financing will help Pryon expand its business to international markets and help them scale up their team to accelerate platform growth.

Founded in 2017, Pryon is an AI tool provider that uses AI to coordinate information across various channels through context awareness, natural language, and other technologies, enabling users to interact with voice-based agents. Pryon trains and deploys its proprietary models, which are selected based on the content needed to avoid illusions and are based on specific knowledge.

10. Pixis

AI marketing solution provider Pixis ranks tenth with a financing amount of $85 million. After this financing, Pixis' total funding amount reached $209 million.

This financing for Pixis was led by Touring Capital, with participation from Grupo Carso, General Atlantic, Celesta Capital, and Chiratae Ventures. In addition to strengthening Pixis' AI capabilities, this financing will also help them accelerate their global business and invest in an AI-driven creative studio.

Founded in 2020, Pixis focuses on providing performance-enhancing marketing solutions for brands. Pixis has developed accessible artificial intelligence technology that benefits growth marketing and has a rich product suite, including positioning, in-flight performance optimization, and generative AI capabilities.

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