amaiko vs nele.ai: Teams-Native AI With Memory vs a Credit-Based Chat Platform (2026)

Teams: where amaiko works, a separate app for nele.ai

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. From that chat it reads and drafts across Outlook, Word, Excel, PowerPoint, OneDrive, SharePoint, OneNote and To Do.

nele.ai is its own application. Its pricing page describes a web app for all common browsers and a desktop app for macOS and Windows, managed through a separate admin portal. Its Office add-ins cover Word and Excel. For your team that means every AI question starts by leaving Teams, and every answer travels back by copy and paste.

Your company’s knowledge, built up every night

amaiko turns the conversations your team has with it into lasting company knowledge. Every night it consolidates what it learned: projects, customers, decisions and who knows what. Knowledge can be personal, team-wide or company-wide, and when someone leaves, what they knew stays. amaiko teams spend 35% less time searching, and new hires get up to speed 57% faster.

nele.ai’s handbook calls chat context “the memory of the chatbot during your conversation”. Knowledge that outlives a chat goes into knowledge bases: an admin uploads documents and web pages in the admin portal and assigns them to members, up to 2 GB per company and 20 MB per document, for €19.95 a month. For your company that means someone owns the upload list, and whatever nobody uploads, nele.ai does not know.

Work that happens before anyone asks

amaiko’s Active Inbox reads incoming email and flags what needs attention. Flagged emails become to-dos, and morning briefings arrive without anyone asking. Both are part of the plan.

In nele.ai, work starts with a chat or a prompt from its prompt library. Automation goes through its API or through Make, which needs a Make account, and nele.ai notes that Make may charge on top under its own plans. For your company that means each automation needs someone to build it in a second tool.

Hosting: where the AI runs

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

nele.ai’s security page says inputs, chats and knowledge bases are stored on servers in Germany, and that you choose whether to run the AI models on European servers, international servers or, for some models, your own. Its data processing agreement names Hetzner and Microsoft Azure for storing customer data in Germany, and lists the models it offers directly from OpenAI and Anthropic, including GPT-5.6 and Claude 5 Opus, as processed in the USA. EU-processed versions of many of those models run through Azure, Google and AWS. For your data protection officer that means the answer depends on which models your nele.ai admin enables.

Price: a seat with unlimited tokens vs a credit volume

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

nele.ai charges no seats. Its pricing page sells a monthly credit volume for the whole company, cancellable monthly: €10 for 1,000 credits, €47.50 for 5,000, €90 for 10,000, up to €3,750 for 750,000, plus €19.95 a month for knowledge bases. How far a credit goes depends on the model and on the words sent and received: 1,000 credits cover about 2,500,000 words on GPT-5 mini, 115,000 on GPT-5.4 and 65,000 on Claude Opus. nele.ai’s billing guide adds that every new message sends the whole chat history again.

nele.ai’s pricing page gives a reference point: companies with about 100 employees start, on average, with 40,000 credits and a knowledge base, €319.95 a month. That is 400 credits per person. The table applies it to two smaller companies, rounded up to the next package nele.ai sells. All prices net; amaiko billed annually, nele.ai monthly.

At that volume nele.ai’s bill is lower than amaiko’s. It buys each of the 25 people about 46,000 words a month on GPT-5.4, or 26,000 on Claude Opus, in and out combined, and more use means a bigger package. With amaiko the bill stays the same however much your team uses it. The seat also buys what the credit volume does not: amaiko in Teams, company knowledge that builds itself, and Active Inbox.

Questions to ask nele.ai before you sign

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

1. How many credits will our people use on the models we want, and which package does that put us in after the first quarter? amaiko: Users × €499 with annual billing, with unlimited tokens.
2. What happens when the month’s volume runs out on the 20th, and who decides whether to buy more? amaiko: Nobody buys more. The price stays the same however much your team uses amaiko.
3. Which of the models we enable are processed in the USA, and how do we limit our team to EU-processed models? amaiko: AI processing stays inside the EU, hosted in Germany on amaiko’s own infrastructure.
4. Who in our company uploads documents to the knowledge bases, assigns them and keeps them current? amaiko: Knowledge is consolidated from your team’s conversations every night.
5. Can our people use nele.ai inside Microsoft Teams? amaiko: amaiko is a chat in Teams.
6. Does anything happen in nele.ai before someone writes a prompt? amaiko: Active Inbox flags the email that needs you, and briefings arrive on their own.

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 nele.ai alternatives cover the other options.