amaiko vs meinGPT: Proactive Teams-Native AI vs the Mittelstand Chat Platform (2026)

What meinGPT does genuinely well

If you are evaluating AI platforms built in Germany, meinGPT belongs on your shortlist — and we say that as a direct competitor. Built in Munich by SelectCode, it has done what most AI vendors only put on slides: it actually won the German Mittelstand. Pretending otherwise would be dishonest, and you would notice.

The deepest German-market fit in its class. German hosting, German-language support, German UX, ISO 27001 certification — and a customer base to prove the thesis: more than 100,000 users across 250+ mid-sized companies. Among chat platforms, nobody serves the Mittelstand more deliberately than meinGPT does.

SAP and ERP connectors — rare and valuable. Most AI chat platforms stop at documents and cloud drives. meinGPT ships data connectors for Microsoft 365, Google Workspace, SAP, on-premise systems and more — over 2,500 integrations in total, plus a custom MCP Builder as of 2026. For a manufacturing or logistics company whose operational truth lives in SAP, that is directly relevant capability, not checkbox decoration.

Genuine model choice and serious deployment options. GPT-5, Claude, Gemini, DeepSeek, Mistral, Llama and Perplexity behind one interface, your data excluded from model training, and on-premise deployment for enterprise customers. Add role-based AI assistants, workflow automation, image generation and meeting transcription, and you have the complete chat-platform package.

So why does this page exist? Because being the best German chat platform and being the right AI architecture for a Teams-centric company are two different things.

Three structural differences

The amaiko vs meinGPT question is not about who is more German — both host in Germany, and we will get to that below. It comes down to three architectural decisions about what kind of product each one is.

meinGPT waits. amaiko doesn’t.

meinGPT is chat-first by design: every interaction starts with a person opening the app and typing a question. The assistants are capable, but they are reactive — there is no proactive monitoring of your Microsoft 365 signals, no push intelligence, no system acting on your behalf before you ask. amaiko inverts that. It watches your company’s signals and moves first: your morning briefing is ready before you open the laptop, your inbox is triaged before you read it, meeting follow-ups appear without anyone asking. A reactive platform saves you minutes when you remember to use it; a proactive one saves the minutes you didn’t know you were losing.

A separate web app is an adoption project

meinGPT connects to Microsoft 365 — but it does not live in Microsoft 365. The product is a separate web app, which means a rollout: introducing a new tool, training people to open it, and paying a context-switch tax on every single AI interaction. That tax is small, paid dozens of times a day, and it is exactly what erodes adoption once the launch enthusiasm fades. amaiko takes the opposite path: it is Teams-native, and onboarding is a single Teams chat. You install it, say hello, and it starts working — in the window your team already has open. See how that works in practice.

Configured assistants are not a memory

meinGPT’s role-based assistants are genuinely useful: tailored to a department, shareable, repeatable. But each assistant knows exactly what someone explicitly configured it to know, per use case — and keeping that knowledge current is manual work that somebody owns forever. The platform does not accumulate knowledge about your company across sessions on its own. amaiko builds a persistent, self-learning corporate memory that grows with every interaction: decisions, context, who knows what, why things were done the way they were. When an employee leaves, their context stays. The measurable effect for amaiko teams: 35% less time spent searching and onboarding up to 57% faster, because new hires inherit a memory instead of a library of preconfigured assistants.

The GDPR card doesn’t decide this one

On most pages in this section, data residency is a differentiator. Here it is not, and we would rather tell you that than manufacture a gap. meinGPT hosts in Germany and the EU, is ISO 27001 certified, keeps your data out of model training, and offers on-premise deployment at the enterprise tier. That is a clean German posture — it is a large part of why the Mittelstand trusts them. amaiko hosts 100% in Germany and is certified against ISO 42001, the management standard for AI systems — a certification for how AI itself is governed, layered on the same German-hosting foundation. If GDPR compliance is your only criterion, both vendors pass. Make the decision on the three differences above, not on a compliance gap that does not exist.

The pricing reality

Here the two philosophies diverge visibly. meinGPT’s official pricing page is quote-based — you request a conversation to learn the number. Third-party sources put the Business plan at around €164 per month for up to 50 users, which, if accurate, is genuinely affordable for a small team; the catch is that you cannot verify it without entering a sales process. At enterprise scale the reported figures grow quickly: pilot projects at €10,000–€20,000 for 90 days, and first-year costs at 200 users between €66,000 and €144,000 — roughly €27.50 to €60 per user per month. There is a 10-day free trial, no credit card required.

amaiko publishes its price: from €19.92 per user per month, billed annually — proactive intelligence, the agent network and corporate memory included. For those same 200 users, that is €47,808 a year: below the bottom of meinGPT’s reported range, with no quote request and no pilot negotiation. You can put it in a budget spreadsheet today.

Who should choose which

Honest segmentation — and meinGPT earns a real “choose them” list.

Choose meinGPT if your priority is a German chat platform with SAP and ERP connectors, you want your team hand-picking from a broad model menu including DeepSeek, Mistral and Llama, you need on-premise deployment, or your company does not live in Microsoft Teams. Within that brief, it is the strongest Mittelstand-focused option in the chat-platform class.

Choose amaiko if your company runs on Microsoft Teams and you want AI that is native there instead of another app to roll out; if you want intelligence that acts before you ask; if you want a corporate memory that builds itself instead of assistants you have to configure and maintain; and if you want a price you can read without booking a call. Rollout is a single Teams chat — no adoption project, no training program.

Running both is technically frictionless — meinGPT is a separate web app, amaiko lives in Teams — but they occupy the same budget line, so in practice most companies pick one based on where their work actually happens. If it happens in Teams, that answers the question.

If you are surveying the wider field, our roundup of meinGPT alternatives covers the other contenders. And if you would rather see proactive AI than read about it: book a demo — it takes one Teams chat to show you.