amaiko vs meinGPT: Teams-Native AI With Unlimited Tokens vs a Licence Plus Model Budget (2026)

Teams: where amaiko lives, a source meinGPT reads

amaiko lives in Microsoft Teams, in the chat your company already works in. There is no separate app tab, no browser extension and no new tool to learn. Your team chats with amaiko one to one, and it reads, searches and posts in the chats and channels each person has access to.

meinGPT is its own platform, and your team works in its interface. Its Teams connector lists a person’s chats and reads their messages from inside meinGPT. meinGPT describes it as read-only: it does not post messages, and “Draft content remains in MeinGPT for a person to review and post.” For your team that means asking in one window and answering in another, with someone copying each result across.

Your company’s knowledge: consolidated overnight, shared by the team

amaiko turns the conversations your team has with it into lasting company knowledge. Every night it consolidates what it learned, as personal, team-wide or company-wide knowledge, and team knowledge is checked against live Teams membership on every access. amaiko teams spend 35% less time searching, and new hires get up to speed 57% faster.

meinGPT’s Memory is “personal per user”: memories are tied to one account, are not visible to others and are not shared with the team automatically. It works only in assistants where the tool is switched on, and admins can disable it for the whole organization. What a team shares in meinGPT are assistants that people build “with their own instructions and knowledge”. For your company that means knowledge reaches colleagues once someone builds it into an assistant, and stays current as long as someone maintains it.

Work that happens before anyone asks

amaiko’s Active Inbox reads incoming email and flags what needs attention. Flagged emails become to-dos, and you start the day with a first filter already in place. Active Inbox is part of the plan.

meinGPT’s Outlook connector does not react to new emails on its own; its actions start from a task someone gives it in a chat or an assistant. Recurring work runs through Automations, which are in private beta. Each automation belongs to one assistant and one defined instruction, starts on a schedule, an incoming email or a webhook, and “insufficient credit can pause the automation automatically”. For your company that means every automation needs an author, and it runs on the model budget.

Price: what the seat includes

amaiko costs €41.58 per user per month billed annually (€499 per user per year), or €49.90 billed monthly, from five seats, with unlimited tokens. See pricing.

meinGPT’s price page shows €18 per user per month for users 1 to 50, with the 10% annual discount included; billed monthly, the first 50 users cost €20 each. “The licence excludes model costs.” Usage in chats, images, meetings and automated workflows is paid from a model budget: either a fixed €9 per user per month, or a shared credit pool for which meinGPT starts at a planning value of €2.31 per user per month and you add credit later. Governance, with Entra ID, SCIM and provisioning, costs €1.35 per user per month on top, and Outpost, which connects systems in your own network, starts at €225 a month.

Two companies, billed annually. amaiko prices are net; meinGPT figures are as its price page shows them, licence plus model budget:

meinGPT costs less per seat at both sizes. The pool column is a planning value: your actual model spend follows how much your team uses it, and an empty pool can pause automations. On the amaiko plan, tokens are unlimited and Active Inbox is included, in the Teams your company already uses. Meeting transcription is part of meinGPT’s licence and paid from its model budget; on amaiko, meeting notes are the Notetaker add-on, €61.57 per user per month all-in, billed annually.

Hosting: Germany, on amaiko’s own infrastructure

amaiko is hosted in Germany on its own infrastructure, not in the Microsoft cloud, and AI processing stays inside the EU.

meinGPT’s security page puts its platform and data layer in Hetzner data centres in Germany. Its data flows page adds: “German platform hosting does not automatically mean that every model request is processed in Germany. The approved model path is what matters.” Its subprocessor list names model providers in Sweden, France, Germany, Finland and Ireland. For your data protection officer that means reviewing each model route your meinGPT admin enables.

Questions to ask meinGPT before you sign

Get the answers in writing. Ours is under each one.

1. What model budget do we need at our usage, and what happens to our chats and automations when the pool runs out? amaiko: The plan includes unlimited tokens.
2. Who in our company builds and maintains the assistants, workflows and automations? amaiko: amaiko learns how each person works from the work itself and gets better every day.
3. Which model routes will our workspace enable, and in which country does each one process our data? amaiko: AI processing stays inside the EU, hosted in Germany on amaiko’s own infrastructure.
4. How does what one person’s assistant learns reach the rest of the team? amaiko: Every night it consolidates conversations into company knowledge, checked against live Teams membership on every access.
5. Which add-ons will we need, Governance for SCIM or Outpost for our own network, and what do they add per year? amaiko: Users × €499 per year with annual billing, tokens included. Add-ons such as the Meeting Notetaker have a fixed price per seat.
6. Where does our team work with meinGPT, and who posts its drafts back into Teams? amaiko: Teams is where amaiko lives, and it posts in the chats and channels each person has access to.

See it for yourself

Book a demo and ask amaiko the questions your team asks every day, in your own Teams. If you are still comparing the field, our meinGPT alternatives cover the other options.