Anthropic
93TriVista score
Claude Enterprise
A workplace AI assistant that reads very long documents and helps staff write, code, and analyze, run under company controls.
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Claude Enterprise vs Cohere North
Compare up to four tools by their main job, cost, setup requirements, and data security. Choose two to four tools below.
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Enterprise AI Assistants and Workspaces
Costs are planning estimates, not vendor quotes. See the assumptions below.
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Cohere
76TriVista score
Cohere North
A workplace AI tool that combines company search, chat, and task-running agents, built to run inside a company's own private cloud.
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Claude Enterprise93 TriVista score
Cohere North76 TriVista score
Category rank
#2
#9
Research confidence
Strong support
Strong support
Cost
Tool
Claude Enterprise93 TriVista score
Cohere North76 TriVista score
Plans and pricing
Enterprise. Public pricing mechanics; usage amount is a planning allowance
Enterprise workspace; private deployment options. Quote required; planning allowance
First year
$39.9KBase estimateLow $26.2K · High $62.1K
$73.2KBase estimateLow $47.6K · High $114.9K
Per user or unit
$2KBase estimateLow $1.3K · High $3.1KPer enabled user, first year
$3.7KBase estimateLow $2.4K · High $5.7KPer enabled user plus governed deployment, first year
Three years
$88.1KBase estimateLow $59.7K · High $132.6K
$162.9KBase estimateLow $110K · High $246.7K
Cost assumptions
Based on 20 enabled users. Pricing model: Per seat plus metered usage. Confirm the vendor’s billing unit and current price or quote before budgeting.
Planning quantity: 20. Unit definition: enabled user plus governed deployment. Pricing model: Enterprise platform subscription; deployment/inference may be separate. Confirm the vendor’s billing unit and current price or quote before budgeting.
Setup and security
Tool
Claude Enterprise93 TriVista score
Cohere North76 TriVista score
Setup requirements
Check the minimum seats, sign-in, spend limits, connections, data settings, and app access.
Architecture and deployment decision, data connectors, admin and audit controls, model/inference capacity, implementation partner or Cohere onboarding, and quote validation.
Data and security
Check data terms, retention, access keys, locations, connections, and activity records.
Validate customer data separation, VPC/on-prem/Model Vault responsibilities, key management, retention, auditability, other companies that process data, model-training commitments, and support SLAs.
Recommended next step
Compare the tool with the current process on quality, adoption, time saved, and total cost
Complete the required permissions, governance, and data-quality review before a narrow pilot
Before you choose
Test the shortlisted tools on the same task with the same success criteria. Confirm current pricing, data terms, and setup requirements, and resolve any research holds before approving a pilot. Scores rank tools within their own category, not across all tools.
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