Cohere Launches North: A Secure AI Agent Platform for Enterprise Data Protection

Reviewed byNidhi Govil

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Cohere introduces North, an AI agent platform designed for private deployment, addressing enterprise data security concerns while offering productivity-enhancing features.

Cohere Introduces North: A Secure AI Agent Platform

Canadian AI firm Cohere has launched North, a new AI agent platform designed to address the pressing concern of data security in enterprise environments. The platform promises to enable private deployment, allowing organizations to keep their sensitive information behind their own firewalls

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Enhanced Security Features

Source: BNN

Source: BNN

North can be installed on an organization's private infrastructure, including on-premise systems, hybrid clouds, Virtual Private Clouds (VPCs), or air-gapped environments. Cohere claims that this approach ensures they never see or interact with a customer's data

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. The platform incorporates security protocols such as granular access control, agent autonomy policies, and continuous red-teaming. It also meets international compliance standards like GDPR, SOC-2, and ISO 27001

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Productivity-Enhancing Capabilities

North offers a range of features designed to boost workplace productivity:

  1. Chat and search functions for answering customer support inquiries and accessing information from internal resources and the web

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  2. Summarization of meeting transcripts and creation of marketing copy

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  3. Generation of assets like tables, documents, and slideshows

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  4. Automation of repetitive business tasks, such as syncing new deal details to CRM systems

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Technology Stack and Integration

Source: TechCrunch

Source: TechCrunch

North is powered by a variant of Cohere's Command family of generative AI models, specifically trained for enterprise reasoning

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. It also utilizes Cohere's Compass multimodal search technology

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. The platform can connect to existing workplace tools like Gmail, Slack, Salesforce, and Outlook, and integrate with industry-specific applications using the Model Context Protocol (MCP)

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Deployment and Resource Requirements

Cohere emphasizes the flexibility of North's deployment options. Nick Frosst, co-founder and CEO of Cohere, stated, "We can deploy literally on a GPU in a closet that they might have somewhere"

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. The platform is designed to run on as few as two GPUs, making it accessible for organizations with limited hardware resources

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Early Adoption and Market Position

North has already been piloted by several high-profile customers, including Royal Bank of Canada (RBC), Dell, LG, Ensemble Health Partners, and Palantir

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. This early adoption by major enterprises demonstrates the platform's potential in addressing the data security concerns that have previously hindered AI tool adoption in sensitive industries.

Impact on Work and Job Roles

Source: SiliconANGLE

Source: SiliconANGLE

While North aims to automate many tasks, Cohere emphasizes that it is designed to handle "boring work, monotonous work, bureaucratic work" rather than replace entire job roles

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. Frosst explains that for most users, North can only augment and automate "a relatively small percentage" of work done behind a computer, leaving "distinctly human" tasks to employees

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Cohere's Market Position

The launch of North comes at a time when Cohere is reportedly seeking to raise $500 million in new funding, potentially valuing the company between $5.5 billion and $6.5 billion. The company's annualized revenue is expected to exceed $200 million by the end of the year, up from $100 million in May

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. This growth trajectory, coupled with the release of North, positions Cohere as a significant player in the enterprise AI market.

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