Cohere

Enterprise AI models and agents that run on your own terms

Advanced API
Screenshot of Cohere, Enterprise AI models and agents that run on your own terms

What is Cohere?

Cohere is an AI chat bot tool. Enterprise AI platform combining the North agentic product with Cohere's own generation, embedding, reranking, translation, speech and document parsing models, deployable privately on premises or in isolated VPCs.

Cohere is an enterprise AI company that sells models and a platform rather than a consumer chatbot. The product line splits into two halves. North is an agentic platform for business workflows, positioned as something a company can own outright, with security, cost control and deployment choice as the core pitch. Underneath it sit the models themselves: Command for generation, Transcribe for speech recognition, North Small Translate for machine translation, Parse for document parsing, Embed for semantic representation and Rerank for retrieval optimization. Compass handles intelligent search and discovery on top of that stack. The target buyer is an organization with fragmented internal data and strict rules about where that data can live. Cohere leans on deployment flexibility, offering private deployments on premises or in isolated VPCs, plus Model Vault for dedicated inference with end-to-end encryption. Industry pages for financial services, public sector, healthcare, manufacturing, energy and utilities, telecommunications and technology sketch out where this lands in practice: back office automation, constituent question answering, case intake, support operations and search over proprietary document sets. In use, the platform is developer facing. Work starts in the dashboard, where API keys are issued, and then moves to the documentation for SDK level calls to the generation, embedding and reranking endpoints. North sits above that as a managed layer for teams that want agents without wiring every endpoint themselves. LLM University provides guided material for engineers new to the stack. Against general purpose model providers, Cohere trades breadth of consumer features for control, private deployment and retrieval quality. It is a poor fit for someone who wants a free chat window, and a reasonable one for a company that needs a model inside its own perimeter with a contract behind it.

How do you use Cohere?

  1. 1Read the model overview
    Start on the models overview page to see how Command, Embed, Rerank, Parse, Transcribe and North Small Translate fit together before committing to any one of them.
    Cohere — Read the model overview
  2. 2Create a dashboard account
    Sign in at the Cohere dashboard to create an account and generate the API keys that every model call will use.
    Cohere — Create a dashboard account
  3. 3Work through the developer docs
    The documentation covers SDK setup and request formats for generation, embeddings and reranking, and is the fastest route to a working call.
    Cohere — Work through the developer docs
  4. 4Build a retrieval pipeline
    Combine Embed for semantic representation with Rerank for retrieval optimization to get sharper search results over your own document set.
    Cohere — Build a retrieval pipeline
  5. 5Choose a deployment route
    Compare Model Vault, private deployments and standard access to decide where inference should run relative to your security requirements.
  6. 6Scope an enterprise rollout
    Once a prototype works, request a demo to discuss commercial terms, deployment and support for production use.

Pros and cons

Pros

  • Clear enterprise focus: private deployments, isolated VPCs and dedicated inference instead of a consumer chat productAI
  • Model lineup covers a real pipeline, from document parsing and embeddings through reranking to generationAI
  • North gives teams an agentic layer without assembling every model endpoint by handAI
  • Documentation, docs and LLM University make the API approachable for engineering teamsAI
  • Industry-specific framing for finance, healthcare, public sector and others helps scope a pilotAI

Cons

  • Pricing details are not laid out on the homepage, so budget planning requires a sales conversationAI
  • No free consumer tier is advertised, which makes casual evaluation harder than with open chat toolsAI
  • The platform assumes engineering resources; non-technical teams will depend on North being configured for themAI
  • Feature depth is split across many separate model pages, so the full picture takes time to assembleAI

How much does Cohere cost?

Features

North is the agentic enterprise platform, joined by a model family: Command for generation, Transcribe for speech recognition, North Small Translate for translation, Parse for document parsing, Embed for semantic representation and Rerank for retrieval optimization, with Compass covering search and discovery. Deployment runs through Model Vault for dedicated inference or private on-premises and isolated VPC setups.

Learn more

Frequently asked questions about Cohere

  • Does Cohere have an API?
    Yes, Cohere offers an API.
  • How do you use Cohere?
    The walkthrough on this page covers 6 steps: 1. Read the model overview 2. Create a dashboard account 3. Work through the developer docs 4. Build a retrieval pipeline 5. Choose a deployment route 6. Scope an enterprise rollout.
  • What platforms does Cohere support?
    Cohere is available on Web App.
  • What are the limitations of Cohere?
    Pricing details are not laid out on the homepage, so budget planning requires a sales conversation. No free consumer tier is advertised, which makes casual evaluation harder than with open chat tools. The platform assumes engineering resources; non-technical teams will depend on North being configured for them.

Status

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Added10/21/2026

Platforms

Web App

Pricing

PaidSubscription