Top 5 Juma (Team-GPT) Alternatives (2026)

If you are searching for a Team-GPT alternative and landing on a marketing tool called Juma, you are not lost — your tool moved. Team-GPT rebranded to Juma in late 2024 and pivoted hard toward marketing: the product is now a collaborative AI workspace for marketing teams and agencies, built around 700+ pre-built marketing “Flows” — LinkedIn carousels, competitor analyses, SEO articles, Google Ads reports.

For marketing teams, that pivot made the product sharper. For everyone else, it changed the deal. Companies that adopted Team-GPT as a general team AI workspace — a shared place for the whole company to work with AI — now find themselves on a vertical marketing tool, and the search for a Juma alternative usually starts there. Four issues come up repeatedly:

• The pivot itself. Juma is now narrowly vertical: marketing automation, not general enterprise AI orchestration. IT, operations and finance use cases are simply not what the product is for anymore.
• No Teams integration, no initiative. Juma is a pure pull-based creation tool. It does not live in Microsoft Teams, does not watch your company’s signals, and does nothing until someone opens it and asks.
• Context is uploaded, not learned. Juma’s shared Projects hold persistent brand context — brand voice, briefs — but you upload it manually. The tool does not learn from how your company actually works.
• Zero German-market fit. Juma is US/global in orientation. There is no German-language messaging, and EU-only hosting is not advertised — despite genuinely strong compliance credentials (GDPR, SOC 2 Type II, ISO 27001, HIPAA).

To be fair to Juma: unlimited seats on all plans via credit-pool pricing is a refreshing departure from the per-seat treadmill, and for its new target audience the 700+ Flows are best-in-class. The problem is not that Juma got worse. It is that it became something else.

Here are the five alternatives worth shortlisting in 2026 if what you wanted was a general team AI workspace — each with its genuine strengths and honest limitations. For a direct head-to-head, see amaiko vs Juma.

1. amaiko — the general company-wide AI layer, inside Teams

If Juma’s pivot left you without a general team AI workspace, amaiko is the most direct answer — with one structural difference: it does not ask your team to adopt yet another app. amaiko is Teams-native. One Teams chat — no separate interface, no rollout project, no training sessions. You add it, you start typing, and onboarding is done. The “shared workspace” Team-GPT once promised becomes the workspace your company already uses all day.

And where Juma narrowed to one department, amaiko is deliberately general: marketing, IT, operations, finance, leadership — one AI layer for the whole company, not 700 templates for one team.

The deeper difference is how context gets into the system. Juma’s brand context is manually uploaded; amaiko builds a persistent corporate memory on its own. It learns how your company works — projects, customers, decisions, preferences — and keeps that knowledge across every conversation. You never re-explain context, and you never maintain a context library by hand. Every interaction makes the next one more useful.

That memory feeds a self-learning agent network: specialized AI agents that handle email, meetings, research and company systems, and that improve from how your organization actually operates. Underneath run state-of-the-art models — not a single fixed model quietly ageing behind the brand.

And amaiko acts proactively. Juma — like every pull-based creation tool — does nothing until someone opens it. amaiko surfaces what needs your attention, prepares your day, and follows up on what would otherwise slip. That is the difference between a tool you use and a colleague who works.

On integration, amaiko orchestrates all company-internal systems — SAP, your CRM, internal tools, industry software. If your business runs on it, amaiko can work with it.

Compliance is where the contrast with Juma’s US/global posture is sharpest: 100% German hosting and ISO 42001-compliant AI management — details on the security page. Pricing starts at €19.92 per user per month, billed annually — see pricing.

One honest caveat: if your marketing team genuinely loves the 700+ Flows, they should arguably stay on Juma — amaiko does not ship a library of pre-built LinkedIn-carousel templates, and it does not pretend to. The case for amaiko is the company-wide layer: general, proactive, with a memory. Plenty of companies could run both — Juma for the marketing department’s content production, amaiko as the AI layer for everyone.

Best for: Teams-centric companies — especially in the German Mittelstand — that wanted a general team AI workspace and need one that remembers, acts ahead, and works for every department. You can book a demo to see it in your own tenant.

2. ChatGPT Enterprise — the strongest general-purpose assistant

If the Team-GPT era taught your company that everyone benefits from AI access, ChatGPT Enterprise is the most obvious general-purpose upgrade. OpenAI’s enterprise tier delivers the models everyone measures against, plus SSO, admin controls, higher usage limits, and a hard commitment not to train on your company data.

The gaps are equally clear. There is no native Teams integration — your team context-switches to a separate app all day. Data is processed in the United States, which puts CLOUD Act exposure squarely on your data protection officer’s desk. And at $30+ per user per month on an enterprise contract, the unlimited-seats economics you may have liked about Juma are gone: this is per-seat pricing at the premium end.

Full comparison: amaiko vs ChatGPT Enterprise.

3. Langdock — the EU enterprise AI platform

Berlin-based Langdock is probably the closest match for what Team-GPT customers originally bought: a model-agnostic, collaborative AI platform for the whole company — and one with the strongest enterprise references in the European market: over 7,000 companies, including Merck with 33,000 monthly active users. You get 40+ models from GPT-5 to Claude to Gemini, custom agents, mature workflow automation, and hosting in German and EU data centers.

The limitations: Langdock is a chat-and-agent layer. Every interaction is user-initiated — no proactive intelligence, no persistent corporate memory that builds on its own. There is no Teams-native presence; your team works in a separate app. And per-seat pricing of €25–99 per user per month compounds in exactly the way Juma’s credit pools avoid: a 100-person organization pays €2,500 a month before workflow add-ons.

Full comparison: amaiko vs Langdock.

4. meinGPT — the German Mittelstand chat platform

If Juma’s zero German-market fit is your main objection, Munich-based meinGPT is the counterweight: hosting in Germany, ISO 27001 certification, German-language support, and a real customer base — 100,000+ users across 250+ mid-sized companies. It offers multi-model access (GPT-5, Claude, Gemini and more) and, rare in this class, SAP and ERP connectors that matter to manufacturing-heavy Mittelstand businesses.

The limitations: meinGPT is chat-first and reactive. Users pull information; nothing is pushed. Assistants require per-use-case configuration, and no persistent corporate memory accumulates on its own. There is no Teams-native experience — it is a separate web app. And pricing is quote-based, so budgeting starts with a sales call rather than a price list.

Full comparison: amaiko vs meinGPT.

5. Dust — department-level AI agents with a Teams integration

French platform Dust — founded by ex-OpenAI and ex-Stripe people, backed by Sequoia — builds department-level AI assistants connected to company data: Slack, Google Drive, Notion, Confluence, GitHub. Unlike Juma, it has a native Teams integration — besides amaiko, the only one on this list — plus a selectable EU or US hosting region, SOC 2, zero data retention with model providers, and a Pro plan at roughly $29 per user per month.

The limits: assistants need IT configuration per department, there is no persistent corporate memory, and no proactive push — every interaction starts with a user asking. If you are leaving Juma because a pull-based tool kept being ignored, Dust will not change that dynamic; it changes what you can pull from.

Full comparison: amaiko vs Dust.

How to choose

Match the tool to what you actually lost in the pivot:

• Your company lives in Microsoft Teams and you want a general AI layer that knows your business and works before you ask: choose amaiko. It is Teams-native, proactive, and builds persistent corporate memory instead of asking you to upload context — from €19.92 per user per month with 100% German hosting.
• You want the strongest general-purpose assistant and Teams is not central to your workflow: ChatGPT Enterprise — if you can accept US data processing and per-seat enterprise pricing.
• You want the closest replacement for the original Team-GPT idea — a collaborative, model-agnostic AI workbench with EU hosting and proven scale: Langdock has the references.
• Your objection to Juma is its zero German-market fit and you want German hosting, German support and SAP connectivity: meinGPT.
• You want department-level AI agents over your existing tools with a Teams integration and EU hosting option: Dust.

And in fairness to Juma: if you are a marketing team or an agency, and the 700+ Flows are what you open the tool for every morning, the pivot was made for you — stay. The companies that should be reading this list are the ones who bought a general team AI workspace called Team-GPT and woke up with a marketing tool called Juma. For them, the question is not whether Juma is good at what it now does. It is whether what it now does is what their company needs.