basebox Alternative: CompanyGPT vs. basebox – Enterprise AI Compared 2026

Introduction: Why so many companies look for a basebox alternative

Anyone evaluating a sovereign AI platform for regulated industries in Germany will quickly run into basebox.ai by basebox GmbH from Utting am Ammersee. Its “Secure AI Stack” is being mentioned in healthcare, finance and public-sector contexts and is one of the best-known German platforms for self-hosted AI. At the same time, searches for basebox alternative, basebox pricing or basebox reviews are growing quickly – mostly because organisations like hospitals (think Schön Kliniken), municipalities (like the City of Rosenheim) or health insurers hit one of these three walls:

1. Per-user licences scale the cost dramatically once AI moves beyond 50 or 300 employees – at 1,000, 5,000 or 10,000 employees the cost explodes.
2. §203 StGB (German professional secrecy) is a blocker for hospitals, law firms and tax advisors – and needs more than an “on-premise” label.
3. STACKIT or hyperscaler sovereignty is often a hard requirement – and isn’t included in every tier.

Last updated: May 2026 – All facts were researched on basebox.ai, docs.basebox.ai and public sources (Munich Startup, AIchief, SoftwareWorld) in May 2026.

Short answer: CompanyGPT by innFactory AI Consulting is the platform that addresses exactly these three points. As a partner of all major cloud providers (Azure, AWS, GCP, STACKIT), we deploy the solution directly inside the customer’s subscription – with no per-user licence, with §203 architecture, with local LLMs and frontier models, and with everything basebox offers in terms of features – plus significantly more around Office, SharePoint, n8n and MCP.

This comparison shows in detail when basebox.ai is the right fit and when CompanyGPT is the better basebox alternative.

Looking for a market overview? Read GDPR-compliant AI platforms for enterprises 2026.

The providers at a glance

basebox.ai – Secure AI Stack from Utting

basebox GmbH, Bahnhofplatz 3, 86919 Utting am Ammersee, positions itself as a “Secure AI Stack” / “Sovereign AI Stack” for regulated organisations. The platform offers an app store with pre-built AI apps (Assistant, Summarise, Translate, “Ask your PDF/Excel/Word”), a no-code app builder, a knowledge-management system, a control centre for usage & budgets, plus SSO via OIDC, Active Directory and LDAP. Deployment options: cloud (managed), on-premise (Kubernetes/Helm recommended, Docker Compose “currently not officially supported”) and hybrid. Reference customer: Deutsches Herzzentrum München.

CompanyGPT by innFactory AI Consulting

CompanyGPT builds enterprises their own AI infrastructure inside their cloud subscription – Azure, AWS, Google Cloud or STACKIT – or on-premise. The foundation is open source (mainly LibreChat), extended by the proprietary add-ons companyRAG, companyFILES, companyTRANSLATE, companyDASHBOARD and n8n hosting. innFactory AI Consulting is an official partner and reseller of the major hyperscalers and ships the construct as a partner model of the cloud providers – cloud contracts go directly from the customer to the provider, with no token markup and no per-user licence.

Comparison table: CompanyGPT vs. basebox.ai

The decisive differences in detail

1. Licence model: per-user vs. partner model

basebox licences its software per user in coarse jumps: up to 10 users for €2,900/year, up to 50 users for €11,900, 300+ users for €48,900. On top of that come hard token caps (e.g. 60M tokens on the Medium tier). Anyone exceeding those moves to the next tier – or negotiates an Enterprise contract.

CompanyGPT has no per-user licence at all. We deliver the solution as a partner of the cloud providers: your contract is directly with Microsoft Azure, AWS, Google Cloud or STACKIT. innFactory AI Consulting deploys the platform inside your subscription and operates it for a fixed price – tokens, GPU and storage are billed at the list price of the cloud provider, with no markup. That makes the model drastically cheaper and more predictable as user counts grow.

Background: in CompanyGPT vs. Langdock we show the same mechanism against a €20/user model.

2. §203 StGB: professional secrecy, properly modelled

§203 StGB is the most critical point for hospitals, clinics, law firms and tax advisors that want to use AI. basebox prominently references healthcare cases, e.g. Deutsches Herzzentrum München, and describes an architecture for “regulated and classified workflows”. A publicly documented §203 add-on agreement with a hyperscaler – or a concrete statement on how professional secrecy is contractually fulfilled – is not visible on basebox.ai.

CompanyGPT takes the legally documented route: we deploy the platform inside the customer’s own Azure subscription, sign the §203 add-on agreement with Microsoft and deliver an architecture engineered for exactly this case. For organisations that need a stricter setup – e.g. state hospitals or public-sector entities – CompanyGPT runs on STACKIT or fully on-premise, so no token touches a hyperscaler. We add a specialised IT lawyer (Andreas Nörr) for an individualised AI policy – a level of compliance a pure product vendor like basebox does not provide.

3. STACKIT instead of just “DE/EU data centre”

Many companies in the public sector and in critical industries explicitly require STACKIT as the sovereign German cloud stack from Schwarz Digits. basebox does not document any STACKIT partnership; its “Sovereign AI Stack” is mainly argued at the architecture level.

innFactory AI Consulting is a STACKIT partner and runs CompanyGPT productively on the STACKIT stack – including STACKIT AI Model Serving for local LLMs. In parallel, we deliver all frontier models (GPT, Claude, Gemini) in a GDPR-compliant way via Azure, AWS or GCP if you want a hybrid setup. You get maximum data sovereignty without giving up modern models.

4. Local LLMs AND frontier models – without token caps

basebox can run its own inference servers and gives GPU-specific model recommendations. The tiers, however, work with hard token caps (e.g. 12, 60 or 360M tokens per year). Exceed them – upgrade.

CompanyGPT runs Qwen3-235B on STACKIT as the default sovereign flagship, complemented by Llama 3/4, Mistral, DeepSeek, GPT-OSS and LeoLM via vLLM/Ollama – and switches on demand to the frontier models (GPT-5.4 / GPT-5.1, Claude 4.6 / Opus, Gemini 3 Flash / Pro) GDPR-compliant via Azure, AWS and GCP. There are no token caps – cloud and token costs are billed at the list price at the hyperscaler, with no markup.

5. Honest AI cost maths: 1,000, 5,000 and 10,000 employees

Anyone covering regulated industries with basebox hits the tier ceiling quickly. The Enterprise tier publicly stops at “300+ users, 360M tokens, €48,900/year”. Realistic enterprise setups – hospitals, health insurers, municipalities or mid-market companies with 1,000+ employees – land in the custom-Enterprise track with bespoke negotiation.

We run three realistic scenarios. Assumption: 1.2M tokens per user per month – exactly the token density basebox calibrates its Medium and Enterprise tiers on (60M / 50 users or 360M / 300 users per year). Important: as the flagship model for the sovereign setup we position Qwen3-235B on STACKIT AI Model Serving – a quasi-frontier-class OSS model, hosted by Schwarz Digits in German data centres. For routine workloads, gpt-5-mini on Azure extends the stack, and for special cases (long contexts, legal briefs, agentic coding) we switch on demand to GPT-5.4 / GPT-5.1, Claude 4.6 / Opus or Gemini 3 Flash / Pro – all GDPR-compliant via Azure, AWS and GCP. Token prices based on ai-prices.eu (May 2026).

Plus a fixed-price maintenance fee by innFactory AI Consulting – no per-user licence.

The result is unambiguous: CompanyGPT is 10× to 30× cheaper than a scaled-up basebox Enterprise contract in every realistic scenario – simply because the per-user licence disappears and you pay tokens at the cloud provider’s list price. Sending everyday tasks to gpt-5-mini and only calling GPT-5/Claude Opus when you really need them (legal briefs, complex code review) pushes the cost down further. Frontier models stay available – you only pay for them when you really use them.

Scaling effect: the bigger the organisation, the more CompanyGPT pays off. With basebox the per-user licence grows linearly with every employee and forces custom negotiation in enterprise setups. With CompanyGPT only the token cost grows – and with models like gpt-5-mini or Qwen on STACKIT that cost is a fraction of the licence. The 1,000-employee step that already hits six figures at basebox becomes four-figure token bills plus a small fixed maintenance fee at CompanyGPT. At 10,000 employees the gap is dramatic.

6. “Is on-prem really worth it?” – Mostly: no

A question every §203 hospital and every municipality asks: should we buy GPUs to be truly self-contained? The cloud-vs-local inference calculator on ai-prices.eu delivers a sobering answer for realistic office workloads (45h/week, 70% utilisation, 27 ct/kWh power):

• Cloud inference: roughly €260/month
• 2× H100 PCIe on-prem: roughly €2,000/month (power + maintenance + amortisation)
• Break-even: only at 24/7 ≥ 70% load – not under normal office hours

Translation: putting GPUs in the hospital basement is almost never financially worth it. Acquisition costs land between €4–8k (workstation), €10–25k (PCIe server) and €40–110k (SXM/HGX) – plus 27 ct/kWh of German electricity and 1–2 FTE for operations.

Our recommendation – and the core of the CompanyGPT model:

• STACKIT AI Model Serving as the default, with Qwen3-235B as the flagship, Mistral and Llama for lighter workloads. Made in Germany, Schwarz Digits, GDPR- and §203-ready, pay-per-token from around €0.30/M.
• Hyperscaler fallback on demand: gpt-5-mini for routine workloads, GPT-5.4 / GPT-5.1 (Azure), Claude 4.6 / Opus (AWS), Gemini 3 Flash / Pro (GCP) for special cases – all in your own tenant, with the §203 add-on agreement at Microsoft.
• On-prem only where utilisation is guaranteed to be high – e.g. central knowledge services in large insurers or public authorities with proven 24/7 load.

That makes GDPR sovereignty and §203 compliance noticeably cheaper than a typical basebox licence plus token caps would suggest – without IT having to build its own GPU cluster.

Real-world relevance for hospitals of the Schön Kliniken kind, for utilities and municipalities like the City of Rosenheim, and for health insurers in PKV/GKV: the architecture covers §203 StGB without the software licence scaling per employee.

7. Everything basebox does – and more

basebox bundles an app store, an app builder, a knowledge-management system and a control centre. CompanyGPT covers each of these use cases and extends them:

• App store / pre-built bots → LibreChat agents + companyRAG + n8n workflows, freely combinable.
• No-code app builder → agent builder + n8n editor with hundreds of connectors.
• “Ask your PDF/Excel/Word” → companyRAG for knowledge bases + companyFILES for actively creating and editing Office files.
• Translation app → companyTRANSLATE: a standalone GDPR-compliant translation service that replaces DeepL.
• Control centre → companyDASHBOARD with training recommendations.
• API → REST + MCP for in-house tools and external systems.
• SSO → OIDC, Azure AD, LDAP – just like basebox, but not only on the Enterprise tier.

8. SharePoint and Office: where CompanyGPT is clearly ahead

For Microsoft-365-heavy organisations, two features are decisive – and neither is documented on basebox:

• SharePoint permission mirroring: companyRAG inherits SharePoint permissions 1:1 in the RAG search – users see only what they are allowed to see anyway.
• Writing Office files: companyFILES generates Excel reports, Word templates and PowerPoints. basebox offers the “Ask your Excel/PDF/Word” apps in its app store – those are document-based chats, not real writing tools.

9. Extensibility: n8n + MCP instead of a closed ecosystem

basebox is a closed product world. New integrations are prioritised by the vendor. CompanyGPT relies on n8n (hundreds of ready-made connectors) and MCP (Model Context Protocol) for custom connections to SAP, DATEV, hospital information systems, Notion, Jira or proprietary APIs. You host your own MCP servers directly in Kubernetes next to the platform.

10. Training and AI compliance included

basebox ships software. Training, AI policy, EU AI Act assessment and lawyer support are not part of the product. CompanyGPT includes training by default, and via innFactory AI Consulting we add individualised AI compliance consulting with a specialised lawyer and the training of your AI officer – a major differentiator, especially for §203 and EU AI Act topics.

When is basebox.ai the right choice – and when not?

basebox.ai fits when …

• you want a finished product UI with its own app store,
• per-user licences are fine for you,
• 60M or 360M tokens per year are safely enough,
• you have no need for STACKIT, SharePoint permissions, Office write access, n8n or MCP.

CompanyGPT is the better basebox alternative when …

• you cannot accept a per-user licence,
• §203 StGB must be covered with hard contractual artefacts,
• STACKIT is mandatory or required as an option,
• you want local LLMs and frontier models in parallel without token caps,
• you need SharePoint, Office, n8n and MCP extensions,
• training and lawyer-backed compliance are expected as part of the package.

Conclusion: The leading basebox alternative for regulated companies in Germany

basebox.ai is a solid player in the German “sovereign AI” space – but the per-user licence model, the token caps and the focus on a closed product ecosystem do not fit many regulated enterprises. The larger the organisation, the more CompanyGPT pays off – from 1,000 employees upward the gap to a basebox Enterprise licence is typically 10× to 30×.

CompanyGPT delivers the same mission (sovereign, secure, German AI for regulated industries) consistently as a partner model of the cloud providers: no per-user licence, with §203 StGB architecture, with STACKIT as the default and Qwen3-235B as the flagship, with on-demand access to GPT-5.4/5.1, Claude 4.6/Opus and Gemini 3, with Office editing, SharePoint permissions, n8n and MCP – plus training and lawyer-backed compliance. Hospitals like Schön Kliniken, municipalities like the City of Rosenheim and health insurers find here the architecture that makes GDPR sovereignty noticeably cheaper than a per-user model ever could.

If you are looking for a basebox alternative today – because per-user pricing feels too rigid, the token cap too tight, or the §203 architecture too thinly documented – CompanyGPT is the noticeably more grown-up solution, production-ready within a few days.

Further reading

• CompanyGPT vs. Langdock – comparison against the Berlin per-user SaaS vendor
• CompanyGPT vs. Telekom Business GPT – comparison against the German telco AI stack
• CompanyGPT vs. Neuland.ai – another alternative from the German market
• companyTRANSLATE: DeepL alternative for enterprises – GDPR-compliant translation service
• LibreChat vs. Open WebUI vs. Copilot – open-source platforms compared