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Enterprise AI Assistant🟢No Code
C

Cohere North

Cohere North is Cohere's turnkey enterprise AI workspace — chat with your data, build automations, and run multi-step agents on top of Cohere's Command models. Contact sales pricing; succeeds the retired Cohere Coral product.

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In Plain English

Cohere North is Cohere's turnkey enterprise AI workspace — chat with your data, build automations, and run multi-step agents on top of Cohere's Command models. Contact sales pricing; succeeds the retired Cohere Coral product.

OverviewFeaturesPricingGetting StartedUse CasesIntegrationsLimitationsFAQAlternatives

Overview

Cohere North is Cohere's 2026 enterprise workplace AI platform — the company's successor to the older Coral product. The pitch on the North homepage is unambiguous: 'turnkey AI platform for workplace productivity' that lets a non-developer 'build automations, chat with your data, and co-create with AI from a secure, intelligent workspace.' It is sold as a hosted product rather than a developer toolkit: customers connect their internal data sources (Drive, Confluence, SharePoint, Notion, Salesforce, Slack, internal databases), pick from a library of agents and automations, and get a secure chat-plus-canvas surface that runs on Cohere's own Command-family models (Command R, Command R+, Command A) with retrieval over the connected corpus. North is the answer Cohere gives to <a href="/tools/glean">Glean</a>, Microsoft 365 Copilot, and the broader enterprise-assistant market. Pricing is contact-sales — there is no public per-seat price on the North marketing page — which is consistent with the rest of Cohere's enterprise motion.

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Key Features

Agent Studio No-Code Platform+

Visual no-code interface where business users build sophisticated AI agents through natural language prompts and clickable integrations. Agents handle multi-step workflows including data retrieval, document generation, and cross-system actions without requiring developer involvement.

Workplace Productivity Knowledge Suite+

Unified knowledge layer connecting Google Workspace, Microsoft 365, Salesforce, Confluence, SharePoint, and proprietary databases into a single intelligent search and synthesis engine with grounded responses and paragraph-level citations.

Private Deployment Architecture+

Three deployment tiers—VPC, on-premises, and Cohere Model Vault—provide genuine data sovereignty for regulated industries. On-premises installation supports air-gapped environments for classified data handling in government and defense contexts.

Enterprise RAG with Citation System+

Retrieval-augmented generation grounds every response in actual source documents with paragraph-level inline citations. Reviewers can verify any claim against its original source, enabling trust in AI-assisted decision-making for compliance-sensitive workflows.

Multilingual Command R+ Model+

Cohere's flagship enterprise model natively supports 100+ languages with optimization for professional terminology and compliance language, enabling multinational organizations to deploy consistent AI capabilities across all operating regions.

Pricing Plans

North (Enterprise)

Custom (contact sales)

    Cohere API (for build-it-yourself alternative)

    Usage-based per million tokens

      See Full Pricing →Free vs Paid →Is it worth it? →

      Ready to get started with Cohere North?

      View Pricing Options →

      Getting Started with Cohere North

      1. 1Schedule enterprise demo at cohere.com/north and discuss specific deployment requirements with Cohere's enterprise sales team
      2. 2Complete security and compliance assessment to determine optimal deployment option (cloud, VPC, or on-premises)
      3. 3Begin data integration planning by identifying key enterprise systems and data sources for initial Agent Studio workflows
      4. 4Participate in North administrator training program and establish internal governance policies for AI agent deployment
      5. 5Launch pilot program with selected business unit to build first custom agents and validate workflow automation capabilities
      Ready to start? Try Cohere North →

      Best Use Cases

      🎯

      Enterprises that want a turnkey ChatGPT-for-your-company experience without building the RAG pipeline themselves

      ⚡

      Multilingual organisations — Cohere's Command models have above-average non-English performance compared to GPT-4o-class peers in the same enterprise context

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      Regulated industries (banking, healthcare, government) where private deployment and a single-vendor security review beat a stitched-together stack

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      Cohere-API customers who want to move from a custom-built RAG app onto a hosted product without changing model vendors

      💡

      Migration target for existing Cohere Coral customers, which is the official Cohere-recommended path in 2026

      Integration Ecosystem

      13 integrations

      Cohere North works with these platforms and services:

      🧠 LLM Providers
      Cohere
      ☁️ Cloud Platforms
      AWSGCPAzure
      💬 Communication
      EmailSlack
      📇 CRM
      Salesforce
      💾 Storage
      sharepointgoogle-drive
      🔗 Other
      apimicrosoft-365google-workspaceconfluence
      View full Integration Matrix →

      Limitations & What It Can't Do

      We believe in transparent reviews. Here's what Cohere North doesn't handle well:

      • ⚠Requires significant annual contract commitment with minimum spending thresholds
      • ⚠Private deployment options demand dedicated infrastructure resources and technical expertise
      • ⚠Agent coordination capabilities still maturing compared to established workflow automation platforms
      • ⚠Limited pre-built industry templates require custom development for specialized use cases
      • ⚠Implementation timeline extends 3-6 months for full enterprise deployment
      • ⚠Model switching limitations create dependency on Cohere's proprietary AI ecosystem
      • ⚠Third-party integration ecosystem smaller than Microsoft or Google enterprise AI platforms

      Pros & Cons

      ✓ Pros

      • ✓Intuitive no-code agent creation accessible to business users without technical expertise
      • ✓Genuine private deployment options including full on-premises installation for complete data sovereignty
      • ✓Exceptional multilingual capabilities supporting global enterprise operations across 100+ languages
      • ✓Advanced RAG system with inline citations builds trust through complete response verification
      • ✓Purpose-built for enterprise contexts rather than adapted consumer AI technology
      • ✓Vendor-neutral architecture prevents lock-in while integrating across diverse software ecosystems
      • ✓Active workflow participation transcends simple Q&A to drive business process automation
      • ✓Comprehensive governance features including audit logging designed for regulated industries

      ✗ Cons

      • ✗Significant cost investment may be prohibitive for smaller organizations or limited use cases
      • ✗Requires substantial setup and data integration effort to achieve full platform value
      • ✗Smaller third-party integration ecosystem compared to Microsoft Copilot or Google Workspace AI
      • ✗Agent orchestration capabilities still developing compared to established automation platforms
      • ✗Limited availability of pre-built industry-specific templates and workflow examples
      • ✗Dependency on Cohere's proprietary model ecosystem without easy model switching options
      • ✗Implementation complexity scales significantly with private deployment security requirements

      Frequently Asked Questions

      What private deployment options does North provide for sensitive data?+

      North offers three deployment tiers: virtual private cloud (VPC) for cloud isolation, full on-premises installation for air-gapped environments, and Cohere's secure Model Vault for managed private inference. Each tier meets different regulatory requirements, with the on-premises option supporting HIPAA, SOC 2, and GDPR compliance for industries like healthcare, finance, and government.

      How does North prevent AI hallucinations in business-critical contexts?+

      North employs retrieval-augmented generation (RAG) with comprehensive inline citations that ground every AI response in actual company documents from connected sources. Each claim links back to its paragraph-level source, allowing reviewers to verify accuracy before acting on recommendations in high-stakes workflows.

      Can business users create AI agents without programming knowledge?+

      Yes, North's Agent Studio provides a fully no-code interface where business users define agent behavior through natural language prompts, connect data sources via click-to-configure integrations, and deploy multi-step workflows without writing any code. The platform includes guided templates to accelerate agent creation for common enterprise use cases.

      What languages and global regions does North support?+

      North supports 100+ languages through Cohere's Command R+ model, which was specifically trained for multilingual enterprise contexts including professional terminology and compliance language. The platform handles cross-language retrieval and generation natively, enabling multinational organizations to deploy consistent AI capabilities across all operating regions.

      How much does Cohere North cost and what's the contract structure?+

      Cohere North uses custom enterprise pricing with no published rates, typically requiring annual contracts with six-figure minimum commitments (generally starting around $100K/year) that scale based on user count, deployment model, and usage volume. Cloud-hosted plans tend to cost less than private or on-premises deployments. For comparison, competing enterprise AI platforms like Microsoft Copilot charge approximately $30/user/month. Prospective customers can request a free guided demo and proof-of-concept pilot through cohere.com/north before committing to a contract.
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      What's New in 2026

      In 2026, Cohere North has expanded its Agent Studio with enhanced multi-step workflow orchestration, broader Model Context Protocol (MCP) support for custom tool connections, and advanced agent-to-agent coordination capabilities. The platform has deepened enterprise integrations and continued to expand deployment options for regulated industries, reinforcing its position as a leading private-deployment AI platform.

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      Quick Info

      Category

      Enterprise AI Assistant

      Website

      cohere.com/north
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