AI agents for business compared: EWE versus ChatGPT, Claude, Gemini, Copilot, Mistral, DeepSeek, Muse and Grok

ChatGPT, Claude, Gemini, Copilot, Mistral, DeepSeek, Muse, Grok: each assistant confines you to the models its vendor has chosen, and often to its cloud and its apps. EWE does the opposite. It works with the best models on the market, theirs included, on your infrastructure and in your teams’ messaging apps.

Sourced comparison, updated on 30 September 2026.

A chatbot answers. An agent works.

A conversational assistant waits for your question and answers it, in its window, with its vendor’s model. EWE starts from a goal: it plans, acts on your tools, checks the result, reports back — and remembers it for next time.

Conversational assistant and EWE agent
CONVERSATIONAL ASSISTANTEWE AGENT
You ask a questionYou hand over a goal
It answers in its windowIt acts on your tools and your files
Its vendor’s modelThe right model for each task
A memory managed by the vendorA memory as files, on your premises
It waits to be spoken toIt keeps its routines, even at night
In the vendor’s appIn your team’s messaging apps

It acts, it doesn’t just answer

Web, files, documents, messaging apps, business software: EWE carries out the steps itself, in an isolated space, and asks for your approval before any sensitive action. You get a result, not a list of tips to apply.

It remembers, and that memory belongs to you

Decisions, preferences, the context of each project: EWE records them in readable files, on your server. They can be reread, corrected and backed up. Nothing disappears with a cancelled subscription or a change of model.

It learns from every task

When a difficult task succeeds, EWE writes down the method that worked and reuses it next time, improving it if the context changes. The second time, it no longer searches: it applies. The agent becomes an asset that gains value, not a recurring expense.

The right model for each task

A frontier model for reasoning, a fast and economical model for sorting or rewording, a local model for sensitive data: EWE combines them, and switches to another provider if one goes down. When a better model comes out, you adopt it the same day, without rebuilding anything.

Where your teams work, even at night

EWE runs continuously on your server. You mention it in Slack, Teams or WhatsApp like a colleague; it keeps its routines — Monday report, monitoring, watch — even when every computer is switched off.

On your premises, under your control

Installed on your infrastructure, EWE keeps memory, files and history with you; with a local model, nothing leaves. For regulated industries (healthcare, finance, legal, public sector), this is often the condition for moving from pilot to production.

EWE does not oppose the big vendors’ models: it uses them, along with the others. What it refuses is being locked into just one.

In technical terms: EWE is an AI orchestrator: an autonomous artificial intelligence, also known as agentic AI. It combines model-agnostic LLM routing across more than 300 models, the Model Context Protocol (MCP) to plug into any software, a closed learning loop (every successful task becomes a reusable skill) and the automation of complex workflows, on sovereign infrastructure: on-premise, a European virtual machine or a private cloud.

EWE plugs into more than 45 everyday applications, and into any MCP-compatible tool

Messaging apps

Slack, Microsoft Teams, Discord, WhatsApp, Telegram, Signal, iMessage, Matrix, WeChat

Office & productivity

Gmail, Google Drive, Notion, Outlook, Jira, Linear

Business tools, CRM & finance (via MCP)

Salesforce, HubSpot, SAP, Zendesk, Stripe, Shopify, Figma

Databases (via MCP)

PostgreSQL, SQLite, MongoDB, Redis, Snowflake, Supabase

Development, DevOps & APIs

GitHub, GitLab, Bitbucket, VS Code, JetBrains, Docker, Kubernetes, Terraform, Datadog, Postman

Hosting, cloud & local models

AWS Bedrock, Google Cloud, Microsoft Azure, Ollama, Vercel, Cloudflare, Modal

Browser & smart home

Chrome, Home Assistant, Spotify

Example · one customer email, four applications, zero copy-paste

  1. Outlook: A customer writes: their order is late.
  2. HubSpot: EWE finds their account and the history of their exchanges.
  3. SAP: It checks the stock and the new shipping date.
  4. Microsoft Teams: It alerts the account manager and drafts the reply.
  5. You: You approve in one click. It sends, and remembers.

Illustration: the software varies from one company to another, the mechanics stay the same.

EWE versus eight assistants on the market, on ten sourced criteria

EWE and eight assistants on the market on ten criteria, as of 30 September 2026 (Yes, Partial or subject to conditions, No or not publicly documented)
CriterionEWEChatGPTClaudeGeminiCopilotMistralDeepSeekMuseGrok
Every model on the market, local ones includedYes: 300+ models, cloud and localNo or not documented: OpenAI models onlyNo or not documented: Claude models onlyNo or not documented: Google models (app)Partial: OpenAI + AnthropicNo or not documented: Mistral models onlyNo or not documented: DeepSeek models (app)No or not documented: Muse Spark onlyNo or not documented: Grok models only
Installed on your premises, even offlineYes: Your server, your private cloudNo or not documented: OpenAI cloudNo or not documented: Anthropic cloudPartial: On-premise via Google CloudNo or not documented: Microsoft cloudYes: On-premise (Enterprise)No or not documented: App hosted by DeepSeekNo or not documented: Meta cloudNo or not documented: xAI cloud
Your data in Europe, or on your premisesYes: Wherever you install itPartial: EU residency (Enterprise, Edu)No or not documented: Stored in the United StatesPartial: EU region (Enterprise)Partial: EU, except Anthropic modelsYes: EU by defaultNo or not documented: Stored in ChinaNo or not documented: No documented EU offerNo or not documented: Not documented
A memory that belongs to youYes: Readable files, on your premisesPartial: Managed by OpenAIPartial: Managed by AnthropicPartial: Managed by GooglePartial: Managed by MicrosoftPartial: Managed by Mistral, exportableNo or not documented: Not documentedPartial: Managed by MetaPartial: Managed by xAI
It writes and improves its own methodsYes: On its own, after every taskPartial: Created on requestPartial: Created on requestPartial: Created on requestPartial: Predefined skillsPartial: Proposed, approved by youNo or not documented: Not documentedNo or not documented: Not documentedPartial: On request or by demonstration
Where your teams already talkYes: 20+ messaging appsPartial: Its apps + SlackPartial: Its apps + Slack, M365Partial: Its apps + SlackPartial: The Microsoft worldPartial: Its apps + Slack reportsPartial: Web and mobilePartial: Its apps + WhatsAppPartial: Its apps + X
A team of agents, each on the right modelYes: Each its own providerPartial: Yes, OpenAI modelsPartial: Yes, Claude modelsPartial: Parallel, outside EuropePartial: OpenAI or AnthropicPartial: Yes, Mistral modelsNo or not documented: Not documentedNo or not documented: Not documentedPartial: Yes, Grok models
You decide when to change modelYes: You stay in controlNo or not documented: OpenAI’s scheduleNo or not documented: Anthropic’s scheduleNo or not documented: Google’s scheduleNo or not documented: Microsoft’s scheduleNo or not documented: Mistral’s scheduleNo or not documented: DeepSeek’s scheduleNo or not documented: Meta’s scheduleNo or not documented: xAI’s schedule
Routines that run without youYes: On your server, 24/7Yes: Yes, 10 to 15 tasksYes: Yes, in the cloudYes: Yes, 10 actionsPartial: Scheduled promptsYes: Yes, in the cloudNo or not documented: Not documentedPartial: Background workYes: Cloud routines
Your in-house software, through a universal plugYes: NativeYes: Yes (developer mode)Yes: Yes, creator of the protocolYes: Yes (Gemini Enterprise)Yes: Yes (Copilot Studio)Yes: MCP connectorsNo or not documented: Not documentedNo or not documented: Not documentedPartial: For developers

Every model on the market, local ones included

No model is the best at everything, or forever. Being able to take the best from each vendor, task by task, and switch when a new model comes out means never falling a generation behind.

Installed on your premises, even offline

An agent that reads your contracts and acts on your tools is part of your information system. Installing it yourself means deciding on its security, its updates and its availability, without depending on a third-party service.

Your data in Europe, or on your premises

GDPR, trade secrets, the AI Act: knowing exactly where data resides (and who can access it) determines whether an agent can be used in sensitive industries.

A memory that belongs to you

An agent’s memory becomes an asset: decisions, preferences, business context. If it lives with the vendor, it leaves with the subscription. As files on your premises, it can be read, corrected, backed up, and it survives any change of model.

It writes and improves its own methods

An agent that builds on experience gets faster and cheaper with every task: the second time, it no longer searches, it applies. That is the difference between a tool and a colleague who improves.

Where your teams already talk

This is where adoption is won: an agent you mention in Slack, Teams or WhatsApp gets used from day one; a new tool you have to open gets forgotten.

A team of agents, each on the right model

Having a powerful model orchestrate and an economical model handle repetitive tasks cuts the bill without sacrificing quality.

You decide when to change model

When a vendor retires a model, everything built on it has to follow the vendor’s schedule. Keeping control of that schedule protects months of work.

Routines that run without you

Weekly reports, monitoring, watch: a useful agent also works when nobody is asking it anything. Here, several competitors do the job well.

Your in-house software, through a universal plug

MCP is a kind of universal plug: it connects an agent to your management software, your databases or a tool built in-house, without waiting for a vendor to sign a partnership. Created by Anthropic, it has become the industry standard: here, most players are on board.

When the vendor changes model, who decides?

13 February 2026: OpenAI retires GPT-4o, GPT-4.1, GPT-4.1 mini and o4-mini from ChatGPT. (sources: 1, 2)

Teams that had built their workflows on these models had to follow the vendor’s schedule. For developers, further shutdowns are scheduled, including o4-mini on 23 October 2026.

Illustration: in EWE, one command is enough to change model; memory and skills are kept.

EWE keeps memory, files and history on the company’s infrastructure

With an online assistant, every question, every file and every piece of context goes to the vendor, who decides where it is stored, for how long and with which sub-processors. EWE turns this around: it installs on your premises, and you decide what leaves, down to nothing at all.

Frequently asked questions about EWE

How does EWE protect data compared with ChatGPT?

EWE installs on your premises: memory, files and history stay on your infrastructure, and only the request goes to the chosen AI. By contrast, ChatGPT processes and stores data in OpenAI’s cloud; storage in Europe is only offered on the Enterprise and Edu plans. (sources: 3)

What is a sovereign alternative to ChatGPT Enterprise or Microsoft 365 Copilot?

EWE is an alternative installed on your premises: the agent, its memory and its files run on your infrastructure, with the AI of your choice. By contrast, ChatGPT and Microsoft 365 Copilot remain services hosted by their vendors; among the assistants compared, only Mistral’s Enterprise plan can also be deployed on-premise, with Mistral models only. (sources: 3, 18, 40)

Does EWE work with European AI models?

Yes: EWE uses Mistral’s models, hosted in the European Union by default, and can install open models on your premises. In practice, you choose the provider according to your confidentiality requirements, agent by agent. (sources: 42)

What if an AI provider retires a model or changes its terms?

You switch to another model with one command, memory and skills intact. Factually, OpenAI retired four models from ChatGPT on 13 February 2026; an AI installed on your premises, by contrast, cannot be taken away from you. (sources: 1, 2)

The 50 public sources of the comparison

  1. Retiring GPT-4o, GPT-4.1, GPT-4.1 mini, and OpenAI o4-mini in ChatGPT (openai.com)
  2. Deprecations (developers.openai.com)
  3. Data residency and inference residency for ChatGPT (help.openai.com)
  4. Memory in ChatGPT (help.openai.com)
  5. Skills in ChatGPT (help.openai.com)
  6. ChatGPT connector for Slack (help.openai.com)
  7. Continuing your ChatGPT experience beyond WhatsApp (openai.com)
  8. Scheduled tasks in ChatGPT (help.openai.com)
  9. Subagents – Codex (developers.openai.com)
  10. Developer mode and MCP apps in ChatGPT (help.openai.com)
  11. Data residency – Claude Platform Docs (platform.claude.com)
  12. Import and export your memory from Claude (support.claude.com)
  13. Use skills in Claude (support.claude.com)
  14. Introducing Claude Tag (anthropic.com)
  15. Schedule recurring tasks in Claude Cowork (support.claude.com)
  16. Get started with Claude Cowork (support.claude.com)
  17. Donating the Model Context Protocol and establishing the Agentic AI Foundation (anthropic.com)
  18. Anthropic models in Microsoft Online Services (learn.microsoft.com)
  19. Manage Copilot Memory (support.microsoft.com)
  20. Copilot Cowork: A new way of getting work done (microsoft.com)
  21. Schedule your most used Copilot prompts (support.microsoft.com)
  22. Extend your agent with Model Context Protocol (learn.microsoft.com)
  23. Introducing Muse, a personal AI agent (about.fb.com)
  24. Introducing Grok Business and Grok Enterprise (x.ai)
  25. Grok Bot – FAQ (docs.x.ai)
  26. Skills and routines – Grok Bot (docs.x.ai)
  27. Remote MCP Tools (docs.x.ai)
  28. Anthropic’s Claude on Google Cloud models (docs.cloud.google.com)
  29. Run Gemini and AI on-prem with Google Distributed Cloud (cloud.google.com)
  30. Data residency for Gemini Enterprise Standard and Plus Editions (docs.cloud.google.com)
  31. Get personalization with memory of your past Gemini chats (support.google.com)
  32. Create & manage skills for Gemini Apps (support.google.com)
  33. Configure the Gemini Enterprise app for Slack (docs.cloud.google.com)
  34. Use Gemini Spark to manage your tasks & workflows (support.google.com)
  35. Gemini deprecations (ai.google.dev)
  36. Schedule actions in Gemini Apps (support.google.com)
  37. Connect MCP servers – Gemini Enterprise (docs.cloud.google.com)
  38. Vibe gets to work. (mistral.ai)
  39. Remote agents in Vibe. Powered by Mistral Medium 3.5. (mistral.ai)
  40. Mistral Vibe (formerly Le Chat) (mistral.ai)
  41. Pricing | Mistral (mistral.ai)
  42. Where do you store my data or my organization’s data? (help.mistral.ai)
  43. Knowledge Base | Mistral Docs (docs.mistral.ai)
  44. Reuse work with Skills (docs.mistral.ai)
  45. Models Overview (Deprecated) (docs.mistral.ai)
  46. Schedule tasks (docs.mistral.ai)
  47. DeepSeek Privacy Policy (cdn.deepseek.com)
  48. DeepSeek V4 Preview Release (api-docs.deepseek.com)
  49. deepseek-ai/DeepSeek-V4-Pro (huggingface.co)
  50. Change Log | DeepSeek API Docs (api-docs.deepseek.com)

Comparison based on the vendors’ public documentation and announcements, consulted on 30 September 2026 (sources above). “○” means “no” or “not publicly documented” as of that date; “◐” means “partial or subject to conditions (plan, region, product)”. Offers change fast: every cell is dated and sourced. ChatGPT, Claude, Gemini, Microsoft 365 Copilot, Mistral, Vibe, DeepSeek, Muse and Grok are trademarks of their respective owners. EWE is not affiliated with any of these vendors.

See EWE on your own use cases

A demo of what EWE would do for you, on your tools: installed on your server or in Europe, with the best AIs on the market or your own, and sensitive actions always approved by a human.

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THE AI AGENT THAT WORKS FOR YOUR COMPANY

THE AI AGENT THAT WORKS FOR YOUR COMPANY.

INSTALLED ON YOUR PREMISESEVERY AI ON THE MARKET, OR YOUR OWNUNDER HUMAN CONTROL

BOOK A DEMO

Memory. Method. Action. Team.

EWE IS NOT A CHATBOT. IT IS AN AGENT THAT ACTS ON YOUR TOOLS, REMEMBERS EVERYTHING AND LEARNS FROM EVERY TASK.

01 — IT REMEMBERS

YOUR PREFERENCES, YOUR PROJECTS, YOUR DECISIONS: IT REMEMBERS EVERYTHING, AND FINDS ANY PAST EXCHANGE IN A FRACTION OF A SECOND.

02 — IT LEARNS

EVERY SUCCESSFUL TASK BECOMES A METHOD IT REUSES. MORE THAN 200 SKILLS FROM DAY ONE, AND IT WRITES NEW ONES ON ITS OWN.

03 — IT ACTS

IT DOESN’T TELL YOU HOW TO DO IT: IT DOES IT. WEB, DOCUMENTS, MESSAGING APPS, BUSINESS SOFTWARE, WITH THE BEST AIS ON THE MARKET, YOUR CHOICE.

04 — IT ORGANISES ITSELF

IT SPLITS THE WORK BETWEEN SEVERAL AGENTS, KEEPS ITS ROUTINES DAY AND NIGHT AND REPORTS BACK TO YOU. A TEAM, NOT AN ASSISTANT.

WHAT ARE YOU LOOKING FOR?

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    ONE AGENT FOR EVERYONE. A TEAM OF AGENTS FOR THE ORGANISATION.

    IN A DEMO, ON YOUR OWN USE CASES: WHAT IT WOULD DO FOR YOU, IN CONCRETE TERMS.

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