Cohere Launches Series E Funding, Targeting Up to CAD 7 Billion

Cohere seeks 33.4 billion yuan! The large-model unicorn backed by Nvidia raises again, aiming to set a record for the largest single funding round in Canadian history. Zhi Dong Xi Download the client for exclusive early access. October 30, 2026, 17:30:36, from Beijing.

Zhi Dong Xi, October 30 — Last night, Canadian large-model unicorn Cohere announced the first closing of its Series E funding, with a target of raising up to 7 billion Canadian dollars (about 33.4 billion yuan) in this round. Cohere said on its official X account that if it reaches its fundraising target, this round will set a record for the largest single private funding round in the history of Canadian startups.

According to Cohere, it plans to carry out two AI company acquisitions within a year, launch an enterprise cybersecurity product called Cohere Cyber, and train a new generation of frontier large models.

This round is led by German retail giant Schwarz Group, with existing shareholders including Nvidia and Saudi Aramco's Prosperity7 Ventures continuing to participate, while the Canadian government and others are investing for the first time. In September last year, the company was valued at about 9.8 billion Canadian dollars (about 46.6 billion yuan). If it reaches its fundraising target, Cohere's valuation will reach 35.7 billion Canadian dollars (about 170.2 billion yuan), growing to 3.6 times its original value within a year.

Cohere was founded in 2019 and mainly provides enterprises and governments with large models, AI agents, and search tools that can be deployed privately.

All three of its co-founders are University of Toronto alumni. Among them, co-founder and CEO Aidan Gomez is one of the eight authors of the foundational Transformer paper Attention Is All You Need. Another co-founder, Nick Frosst, studied under "godfather of deep learning" and 2024 Nobel Prize in Physics laureate Geoffrey Hinton.

Previously, Cohere had completed multiple large funding rounds: a Series C round of about 380 million Canadian dollars in 2023, a Series D round of about 700 million Canadian dollars in 2024, and another round of about 840 million Canadian dollars in 2025, with participants including Nvidia, Oracle, and Salesforce Ventures.

According to Cohere, by the end of the third quarter this year, its ARR had increased 165% year over year. Its number of global customers grew 20-fold over the past year to 300, including Royal Bank of Canada, Fujitsu, and PwC.

1. Self-developed models integrated into enterprise customer service, reducing problem resolution time to 2–5 days

Cohere mainly develops models for enterprise document analysis, reasoning, and AI agent tasks. In May this year, the company open-sourced the Command A+ large language model; its quantized version requires only two Nvidia H100 GPUs to run and supports enterprise self-deployment.

To enable AI to participate in enterprises' daily work, Cohere also launched the agent platform North. The platform can connect to enterprises' internal knowledge bases and office software, allowing employees to create AI agents through natural language to complete tasks such as information lookup and customer service. On October 5 this year, Cohere launched North 2, adding features such as cross-session memory and shared knowledge bases, enabling AI to remember previous work information and continuously execute multiple tasks.

According to a customer case published by Cohere in February this year, U.S. AI cloud provider CoreWeave took only 90 days to integrate the previous version of North into its customer service system, using AI to collect customer information, search technical documents, and help transfer issues to engineers. Combined with internal process optimization, CoreWeave's average problem resolution time was shortened from 4–8 days to 2–5 days.

In response to enterprises' data security needs when using AI, Cohere provides private deployment solutions and has partnered with Nvidia and Microsoft to launch confidential computing services. In October this year, the company launched the public beta of a confidential computing service based on Nvidia H100 GPUs and Microsoft Azure, using hardware encryption technology to protect sensitive data processed by AI models in the cloud.

2. Plans to acquire two AI companies; Canadian government to invest up to 7.6 billion yuan

Cohere plans to carry out two AI company acquisitions in the next year. On October 15, the company signed a letter of intent to acquire U.S. AI cybersecurity startup AISLE, planning to use its technology to launch Cohere Cyber and help enterprises automatically discover, verify, and fix software vulnerabilities.

According to AISLE's official disclosure, over the past year the company has discovered more than 500 software vulnerabilities that received CVE identifiers, including 18 of the 24 vulnerabilities recently fixed in the open-source networking tool curl. Cohere plans to combine AISLE's technology with its own large models so that enterprises can complete vulnerability investigations on local servers or isolated networks, avoiding the external transmission of sensitive code.

▲AISLE AI cybersecurity platform workflow, covering software vulnerability analysis, risk screening, remediation, and verification (Source: AISLE)

The other transaction targets the European market. In September this year, Cohere signed a merger agreement with German AI company Aleph Alpha, planning to integrate both sides' model R&D capabilities and European government and enterprise customer resources. This round's lead investor, Schwarz Group, also plans to deploy Cohere models on its STACKIT cloud platform to provide AI services to European customers. At present, neither transaction has been completed.

In addition to acquisitions, Cohere will also receive financial support from the Canadian government. According to an agreement announced by the Canadian Prime Minister's Office on October 29, the government plans to invest up to 1.6 billion Canadian dollars (about 7.6 billion yuan) in Cohere in stages for an equity stake. As a condition of the investment, Cohere has committed to adding at least 1,000 Canadian technology jobs by 2030 and investing at least 1.7 billion Canadian dollars (about 8.1 billion yuan) to build local computing facilities, while retaining its Canadian headquarters and place of registration.

This funding will support Cohere in continuing to develop large models and expanding into cybersecurity and the European enterprise market through acquisitions. Together with local computing infrastructure construction and cloud platform cooperation, Cohere is further extending from model R&D to the deployment and delivery of enterprise AI products.

Competition in the enterprise AI market is no longer limited to the models themselves. This month, another AI office company backed by Nvidia, Pigment, completed a $250 million funding round and disclosed that it aims to compete for enterprise customers of vendors such as Microsoft, Oracle, and IBM.

Although the two companies' product routes differ, both are trying to bring AI into enterprises' existing business systems and have it take on real work. For Cohere, what it must compete for next is not only model invocation volume, but also enterprises' software procurement budgets in areas such as office work, operations and maintenance, and cybersecurity.

Sources: Reuters, Cohere

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