Best for
Best for organisations already on AWS that want research, automation, analytics and app building behind one assistant.
- Freelancers
- Small and mid-sized
- Enterprise
No tools match
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AI Chatbots & Assistants Comparison
At a glance
Best for
Best for organisations already on AWS that want research, automation, analytics and app building behind one assistant.
Best for
Best for regulated or security-conscious enterprises that need AI agents running inside their own infrastructure.
Cataleo does not name a winner. Both statements come from the vendors themselves.
| Criterion | Amazon Quick | Cohere North |
|---|---|---|
| Starting price | Free plan; Plus $20 / user / month Billed annually, $25 billed monthly. Max is $100 / user / month annually. The organisation plans (Professional $20, Enterprise $40 per user per month) require an AWS account and add a $250 per account per month infrastructure fee. | Not stated |
| Free trial | Free plan, plus a 30-day Enterprise trial for up to 25 users with the infrastructure fee waived | Not stated |
| Commercial use | Yes | Yes, sold as an enterprise platform |
| Output | Documents, presentations, spreadsheets, images, dashboards, cited research reports and interactive web apps | Grounded answers, documents, summaries, tables and charts, plus agents that carry out multi-step work |
| API | Yes, existing Amazon QuickSight APIs and SDKs continue to work unchanged | Yes, agents can be configured through the interface or through an API, and Cohere names an SDK for building bespoke agentic platforms |
| Hosting | Cloud (SaaS), plus a desktop application | Cloud (SaaS), isolated VPC, on-premises, or Cohere's Model Vault |
| Ecosystem | AWS. Built-in connectors for Jira, Box, Canva, HubSpot, Notion, QuickBooks, Salesforce, ServiceNow, Shopify, Slack, Smartsheet and Zoom, plus MCP and OpenAPI for anything else; usable from the web, a desktop app, Chrome, Slack, Microsoft Teams and Microsoft 365 | First-party integrations including Google Drive, SharePoint, Slack, Salesforce, Notion, Gmail and BigQuery, plus custom tools connected over the Model Context Protocol and an SDK |
| Live web search and sources | Yes, Quick Research works across the web and your own data and delivers the result as a cited report | Not stated |
| Files and long documents | Yes, Quick Index connects organisation documents and data sources so answers are grounded in them, and the desktop app works with local files | Search and retrieval grounded in the organisation's own data, with permissions, guardrails and audit-ready logging |
| Images, voice and video | Turns a conversation into documents, presentations, spreadsheets and images without leaving the app | Not stated |
| Coding help | No coding assistant is documented. AWS aims Quick at anyone who works with information, stating that no technical skills or coding experience are required, and the apps, flows and automations it builds are described in natural language rather than written | Cohere lists North Mini Code, an agentic coding model, alongside the Command family |
| Model choice | No model picker. AWS documents Quick as fully managed, with no infrastructure to provision, no models to host and no ML expertise required, and states that customer data is not used to train models on any plan | Yes, Cohere's own models or any external LLM, chosen per step of a workflow to balance cost against performance |
| Deployment | Cloud (SaaS), Browser-based | more entries Cloud (SaaS), Browser-based, On-premise |
| Support | Not stated | Email helpdesk, Community forum |
| Onboarding | Documentation and knowledge base | Documentation and knowledge base |
| Company size | more entries Freelancers, Small and mid-sized, Enterprise | Enterprise |
| Integrations | more entries Jira, Box, Canva, HubSpot, Notion, QuickBooks, Salesforce, ServiceNow, Shopify, Slack, Smartsheet, Zoom, Microsoft Teams, Microsoft 365 | Google Drive, SharePoint, Slack, Salesforce, Notion, Gmail, BigQuery |
Adds a column to the table, from the tools in this category.
Row where the values differ The small markers point at the lower number, the longer list or the stated feature. They describe the data, they are not a verdict.
The short version
Every line is one datapoint from the table above, picked automatically. Nothing here is written text.
The trade-offs
Amazon Quick
Strengths
Limitations
Cohere North
Strengths
Limitations
Plans
Amazon Quick
Cohere North
Price on Request
Visit siteWhat users say
Amazon Quick
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Cohere North
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Where this comes from
Amazon Quick https://aws.amazon.com/quick/ · checked against the official source on 2026-09-05
Cohere North https://cohere.com/north · checked against the official source on 2026-09-14
This table lists factual criteria taken from information the vendors publish themselves. For how we put it together, see the methodology.