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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Cohere North vs Gemini for Google Workspace
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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Google
87TriVista score
Gemini for Google Workspace
An AI helper built into Gmail, Docs, Sheets, and Meet, now included in Google Workspace business plans rather than sold separately.
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Cohere North76 TriVista score
Gemini for Google Workspace87 TriVista score
Category rank
#9
#3
Research confidence
Strong support
Strong support
Cost
Tool
Cohere North76 TriVista score
Gemini for Google Workspace87 TriVista score
Plans and pricing
Enterprise workspace; private deployment options. Quote required; planning allowance
Workspace AI and Gemini Enterprise tiers. Packaging-dependent; planning allowance
First year
$73.2KBase estimateLow $47.6K · High $114.9K
$29KBase estimateLow $19.1K · High $45K
Per user or unit
$3.7KBase estimateLow $2.4K · High $5.7KPer enabled user plus governed deployment, first year
$1.5KBase estimateLow $956 · High $2.3KPer enabled user, first year
Three years
$162.9KBase estimateLow $110K · High $246.7K
$64.8KBase estimateLow $44K · High $97.6K
Cost assumptions
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.
Based on 20 enabled users. Pricing model: Workspace edition/add-on or Gemini Enterprise per-seat subscription. Confirm the vendor’s billing unit and current price or quote before budgeting.
Setup and security
Tool
Cohere North76 TriVista score
Gemini for Google Workspace87 TriVista score
Setup requirements
Architecture and deployment decision, data connectors, admin and audit controls, model/inference capacity, implementation partner or Cohere onboarding, and quote validation.
Qualifying Google Workspace edition, admin controls, Drive sharing hygiene, DLP and Vault policies, access and data-region decisions, and user training.
Data and security
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.
Google states Workspace data is not used to train models outside the domain without permission and that Gemini applies existing access, DLP, Vault, and data-governance controls; validate edition-specific availability.
Recommended next step
Complete the required permissions, governance, and data-quality review before a narrow pilot
Test one narrow workflow with approved data, access controls, quality checks, and a stop-or-expand decision
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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