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Cohere North

Cohere · Cohere North: Privately Deployable Agent Platform for Enterprise Workers

Open Cohere North

Cohere North is an enterprise AI workspace where employees chat with company knowledge and build, share and run agents and automations that carry out multi-step work across connected tools, with human approval steps and admin-set token limits. It is aimed at regulated organizations that need AI to run in their own VPC, on-premises or air-gapped, and it is sold through Cohere's sales team.

PricingCustom
Setuphard
Runs onWeb · Self-hosted
Open sourceNo
CategoryProductivity
EnterpriseAgent BuilderWorkflow AutomationAgent SkillsPersistent MemoryHuman-in-the-LoopModel-AgnosticSelf-HostedAir-GappedMCPGovernanceCost Control

Best for

Large enterprises and public-sector organizations in finance, healthcare, telecom, energy, manufacturing and government that want employees building and sharing agents and automations, but must keep data and inference in their own VPC, on-premises or air-gapped environment with per-user and per-group token limits and spend tracking down to each agent

Not ideal for

Individuals and small teams wanting a self-serve assistant with a published price, organizations happy with an assistant built into Microsoft 365 or Google Workspace, and developers looking for a model API rather than an end-user workspace

Who it's for

Enterprises and public-sector organizations, especially in regulated industries, rolling out agentic AI to employees under IT, security and cost governance

Capabilities

  • Chat workspace that answers questions from company knowledge and generates summaries, tables and charts
  • Agents and automations built from plain-language prompts and shared across the organization so teams reuse them instead of rebuilding them
  • North 2 orchestration layer that runs multi-step agents and automations on its own and brings in a person where a step needs sign-off
  • Skills (reusable capabilities agents can call), shared libraries of knowledge and assets, and agent memory that persists across sessions
  • Automations builder with templates, a drag-and-drop visual editor, scheduled runs, loops and branching, a model choice per step, Plan mode, versioning, and testing before publishing
  • Approval steps in automations, plus autonomy policies that limit agents to authorized actions and route critical decisions to people
  • Applications: prototype decks, dashboards, documents and lightweight apps from chat
  • Connectors for Slack, SharePoint, OneDrive, Microsoft Outlook, Microsoft Exchange, Jira, Linear, Notion and GitHub, with financial data providers such as PitchBook, S&P Global and FactSet announced as planned
  • Custom tools through MCP, with an MIT-licensed North MCP Python SDK that validates North user identity and can pass the user's OAuth token to third-party services
  • Model-agnostic: use Cohere's generative models or bring other LLMs, with admins controlling which models are used where and by whom
  • North Admin: roles and permissions, identity and access management integration, real-time usage analytics, token spend visibility down to each user and agent, consumption tiers by request and token rates for users and groups, org-wide caps and alert thresholds
  • Guardrails that filter content and validate model responses, plus monitoring of service performance and logs of all changes
  • Deployment self-hosted, in a customer VPC, hybrid, on-premises or air-gapped; the North application can also run in your network while inference goes to a Cohere-managed Model Vault
  • Cohere holds SOC 2 Type 2, ISO 27001 and ISO 42001 certifications, listed on its Trust Center and cited for North 2

Limitations

  • No public pricing or self-serve sign-up: North is sold with custom enterprise pricing through Cohere's sales team
  • Public product documentation is thin: Cohere's developer docs cover Model Vault deployment with North, and the MCP SDK is on GitHub, but there is no public guide to building agents or automations
  • A public API for driving North itself is not documented; Cohere mentions APIs and an SDK on its marketing pages without public reference docs
  • Several financial data connectors (PitchBook, Crunchbase, Daloopa, FiscalAI, S&P Global, FactSet) are announced as planned, not yet available
  • Private, on-premises and air-gapped deployments are enterprise projects that need infrastructure, identity and connector setup, so it is not a quick tool for small teams
  • Performance and efficiency claims, including Cohere's earlier claim that North outperforms Microsoft Copilot and Google Vertex AI Agent Builder, are vendor-reported

Use cases

  • Speeding up contract review and redlining and checking documents for compliance across large volumes of legal material
  • Building a scheduled automation that pulls CRM, Slack and calendar activity each morning and posts a briefing for managers
  • Turning plain-language questions into SQL against a governed data warehouse and returning the answer to analysts
  • Preparing for sales calls by combining CRM opportunities, email and Slack history, notes and market research into a presentation
  • Rolling out shared agents to a regulated workforce while tracking token spend per user and agent and capping it by user group and organization
  • Running agentic AI over sensitive data in an air-gapped or on-premises environment where cloud assistants are not allowed

Our take

North competes less on the assistant itself than on where it runs and who controls it. A model-agnostic agent workspace that can sit in your VPC, on-premises or air-gapped, with token limits per user and group, spend visible down to each agent, and approval steps in workflows, answers the questions that stall agent rollouts in banks, hospitals, telecoms and governments. The cost is opacity: no public price, few public docs on how agents and automations are built, and some headline connectors still planned. Shortlist it if deployment location and governance decide your choice. If your staff already live in Microsoft 365 or ChatGPT and a hosted service passes your security review, the suite-native options will be quicker to roll out.

Who should use it

CIOs, CISOs and AI platform teams at regulated enterprises and public-sector bodies that want employees to build and share agents and automations, need data and inference to stay in their own environment, and want to attribute AI spend to users and agents and cap it by user, group and organization.

Who should skip it

Individuals and small businesses wanting a self-serve assistant with a published price, organizations whose work lives in Microsoft 365 or Google Workspace and that accept a hosted assistant, and developers who only need a model API to build their own product.

Strengths

  • Can run in your VPC, on-premises or fully air-gapped, not only as a hosted SaaS
  • Model-agnostic, with admin control over which models each user or group can use
  • Token spend visible per user and agent, with consumption tiers for users and groups, org-wide caps and alerts
  • Approval steps and autonomy policies keep people in charge of critical actions
  • Shared agents, skills and libraries reduce duplicated work across teams
  • MCP support plus an open-source SDK for connecting internal tools

Weaknesses

  • Custom pricing and sales-led access only
  • Little public documentation on building agents and automations
  • Some announced financial data connectors are still planned
  • Enterprise deployment effort; not suited to small teams
  • Benchmark and efficiency claims are Cohere's own

Cohere North pricing

Enterprise

Custom

  • Sales-led; starts with a demo request
  • Deployment self-hosted, VPC, hybrid, on-premises or air-gapped
  • Agents, Automations, skills, libraries, memory and North Admin controls

Note: Cohere's pricing page lists North with custom enterprise pricing. Model Vault, Cohere's dedicated inference platform that North can route model calls to, is priced per instance by model and performance tier, billed hourly or through monthly or annual commitments.

Technical specs

Available models

Cohere generative modelsExternal LLMs (bring your own)

Where Cohere North excels

Daily customer-health briefing for managers

Cohere describes an automation that matches the day's 1:1s with team members, searches Slack, Salesforce and other sources for activity and pending actions, and posts a morning Slack summary. That is the kind of scheduled, multi-source workflow Automations is designed for.

Agentic security operations under sovereignty rules

Bell Cyber, which Cohere names as a North partner, says North lets it bring agentic AI into its security operations with the control, privacy and sovereignty requirements its customers demand. Cohere positions North's on-premises and air-gapped deployment options for this kind of sensitive, sovereignty-bound work.

Governed rollout of shared agents across a large workforce

Admins can set which models each user or group can use, define token consumption tiers for users and groups, see spend down to each agent, and set org-wide caps and alert thresholds, so an AI program can grow with predictable spend.

Cohere North vs. competitors

Cohere North vs. Microsoft Copilot

Microsoft 365 Copilot puts AI inside Word, Excel, PowerPoint, Outlook and Teams, grounded in Microsoft 365 work data and sold as a per-user add-on or bundled into some Microsoft 365 business plans. North is a separate workspace that pulls from SharePoint, OneDrive, Outlook and Exchange alongside Slack, Jira, Notion and GitHub, lets you choose the models, and can be deployed in your own VPC, on-premises or air-gapped. Copilot fits Microsoft-standardized organizations; North fits those where deployment location and model choice decide the purchase.

Cohere North vs. ChatGPT

ChatGPT Business and Enterprise give employees OpenAI's models with connectors and admin controls as a hosted service, and Business has published per-seat pricing. North runs Cohere's or other models, can be deployed in your own environment including air-gapped, and adds token consumption tiers for users and groups with spend tracked down to each agent, but its pricing is custom and sales-led.

Cohere North vs. Claude

Claude is Anthropic's hosted assistant running Anthropic's own models, with agentic work in Cowork, connectors and Claude Code for developers. North is built around privately deployable, model-agnostic agents and automations that an organization shares and governs centrally, with approval steps and token caps set by admins.

Frequently asked questions

What is Cohere North?

North is Cohere's agentic AI platform for employees. It combines a chat workspace grounded in company data with agents and automations that people build from prompts, share across the organization and run across connected tools such as Slack, SharePoint, Outlook, Jira and GitHub, with admin controls for models, permissions, guardrails and token spend.

What is new in North 2?

North 2, released October 5, 2026, added a redesigned agent orchestration system, reusable skills, shared libraries, memory across sessions, app and document prototyping from chat, new enterprise connectors, autonomy policies, and North Admin controls for token spending tiers, org-wide caps and alerts. It builds on North Automations, the workflow builder Cohere launched in July 2026.

How much does Cohere North cost?

Cohere does not publish a price. Its pricing page lists North with custom enterprise pricing and a demo request. If you run inference on Cohere's Model Vault, that is billed separately per instance, hourly or on monthly or annual commitments.

Can Cohere North be deployed on-premises or air-gapped?

Yes. Cohere says North can be deployed self-hosted, in a customer VPC, hybrid, on-premises or fully air-gapped. Its docs also describe running the North application in your own network while routing model inference to a Cohere-managed Model Vault.

Which models does North use?

North is model-agnostic. You can use Cohere's own generative models or bring other LLMs, and in Automations you can pick a different model for each step to balance cost and quality. Admins control which models are used where and by whom.

Does North support MCP?

Yes. Cohere says custom tools connect to North through MCP, and it publishes an MIT-licensed North MCP Python SDK. The SDK supports the Streamable HTTP transport, validates North user identity tokens and can access the user's OAuth token for third-party services.

Is Cohere North open source?

No. North is a commercial platform. The North MCP Python SDK is MIT-licensed. North Mini Code (an open-weight coding model) and North Small Translate (a translation model) are separate Cohere models that share the name but are not the North platform.

Cohere North vs Microsoft 365 Copilot: what is the difference?

Microsoft 365 Copilot is built into Word, Excel, Outlook and Teams and runs in Microsoft's cloud. North is a standalone, model-agnostic workspace that connects to Microsoft 365 sources such as SharePoint, OneDrive, Outlook and Exchange alongside other tools, and can be deployed in your own VPC, on-premises or air-gapped.

Integrations & fit

SlackMicrosoft SharePointMicrosoft OneDriveMicrosoft OutlookMicrosoft ExchangeJiraLinearNotionGitHubMCP serversCohere Model VaultIdentity and access management systems
Good fit forEnterprise
Pricing modelCustom· Contact for pricing
See pricing on Cohere North →

Alternatives to consider

About Cohere North

North is Cohere's agentic platform for knowledge work, separate from its Command, Embed and Rerank models and from Compass, its search product. Cohere announced North on January 9, 2025, and on October 5, 2026 released North 2, which it calls its biggest upgrade. Employees use a chat workspace to search and reason over company data, create summaries, tables and charts, and prototype decks, dashboards, documents and lightweight apps. They can also build agents and automations from prompts and share them across the organization. North 2 rebuilt the orchestration layer that runs these multi-step agents, and added skills (reusable capabilities agents can call), shared libraries, and memory that carries context across sessions. Automations, launched in July 2026, turn a plain-language description into a workflow with scheduled runs, loops and branching, a model choice for each step, a Plan mode to review the approach before building, versioning, testing before publishing, and steps where a colleague must approve; North 2 added templates and a drag-and-drop visual builder. Autonomy policies limit agents to actions they are allowed to take and send critical decisions to a person. North connects to Slack, SharePoint, OneDrive, Outlook, Exchange, Jira, Linear, Notion and GitHub, and to your own tools through MCP. Cohere publishes an MIT-licensed Python SDK for building MCP servers that use North's authentication. North is model-agnostic: you can use Cohere's models or bring other LLMs, and admins control which models each user or group can use. What sets it apart from suite-bound assistants is where it runs and how it is governed. It can be deployed self-hosted, in your VPC, hybrid, on-premises or air-gapped. Cohere's docs also describe running the North application in your own network while sending model inference to a Cohere-managed Model Vault. North Admin shows usage and token spend down to each user and agent, sets consumption tiers for users and groups and org-wide caps, and can alert teams at thresholds before limits are hit. The tradeoffs: pricing is custom and there is no self-serve sign-up, there are no public product docs beyond deployment notes and the MCP SDK, and getting value from it depends on the integration work an enterprise rollout needs.

Updates from Cohere North

LaunchNorth 2: rebuilt orchestration, memory, skills and token controls

Cohere released North 2 with a redesigned agent orchestration system, skills, shared libraries, cross-session memory, app and document prototyping from chat, new connectors (Slack, SharePoint, OneDrive, Outlook, Exchange, Jira, Linear, Notion, GitHub), autonomy policies, and North Admin controls for token spend, consumption tiers and org-wide caps. It also stressed that North is model-agnostic and can be deployed self-hosted, in a VPC, hybrid, on-premises or air-gapped.

New FeatureNorth Automations for multi-step workflows

Cohere launched Automations, available to all North customers: plain-language workflow building with scheduled runs, loops and branching, a model choice per step, Plan mode, versioning, test-before-publish, approval steps for colleagues, and usage and token analytics.

LaunchCohere announces North

Cohere introduced North as a secure AI workspace combining LLMs, search and automation for employees.

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