Betty Blocks

What Betty Blocks is

Betty Blocks calls itself "the only sovereign AI App Generation Platform". It is an AI app builder and enterprise low-code platform for IT-led organizations that want to generate applications from a prompt, own what they build, choose their AI model and decide where the result runs. The company's pitch is independence: "Generate AI Solutions without the lock-in". The site's closing line puts the same idea in 4 words: "Code that's yours."

The site names these forms of lock-in it wants to avoid. Technology lock-in is an app running in a proprietary format that can't run anywhere else. Vendor lock-in is switching that means rebuilding from scratch. AI model lock-in is being tied to one model when token costs change. Infrastructure lock-in is having no control over where your data is hosted.

What you build and how

Prompt to app. The flow the site calls "From prompt to production to full ownership" has 3 steps: Prompt, Control and Connect, ending in ownership. You "describe the application you need in plain language", and "Genius AI turns your prompt into a working app, structured and production-ready from the first draft". The home page also offers a "Surprise me" button and a "Start for free" button, so a visitor can try it before booking a demo. The navigation names an "AI & Agentic App Builder" in the platform overview, alongside Governance, Connectivity and Capabilities pages.

Code and hosting. This is the feature the company leads with. "Every app compiles to standard React and WebAssembly", which the company says you can export and run anywhere. The FAQ says applications can be exported as "React frontend and WebAssembly backend source code", reducing dependency on a proprietary application format. The site's "Exit anytime" promise reads "Export your code and walk away, no rebuild required". For hosting, "you choose where data lives" and can deploy on-premises, on a private cloud, on a public cloud or in a hybrid setup.

AI models. "Connect any AI model through MCP. Switch providers, switch costs, your call." The company's MCP servers let AI clients such as ChatGPT, Claude and Copilot securely access selected application data and workflows, and organizations control which data and actions are exposed. The FAQ answers "Yes" to whether Betty Blocks can connect applications to those assistants.

Use cases. The home page lists what people generate with the platform.

• AI-infused portals. "Branded AI portals with two-way sync and live data insights", giving instant answers from live business data. The navigation lists client portals and partner portals as use cases.
• Autonomous AI agents. "Static records become expert agents that manage queries, approvals, and decisions securely."
• MCP servers. Turn data and actions into AI tools.
• AI chatbots. Conversational interfaces on live data, "embedded into your portals" with "no custom development".
• AI workflows. Multi-step automation across your stack, with AI decision-making where "rigid ERP workflows can't go". The navigation also lists modernization and automation as use cases.

Integrations. The home page says you can "Connect to SAP, Salesforce, Workday and more through open APIs and MCP servers." On the model side, the platform promises you can connect any LLM and "change your mind later without rebuilding anything."

Governance and collaboration. The site says every solution "ships with the same governance, integrations, and sovereignty built-in", and that between prompt and production "everything is governed, and every system and AI model connects on your terms." A row of badges under the platform story lists role-based access and ADFS SSO. A platform architect, Chiel Wester, is quoted making the company's case: "When you never fully own your applications, you never fully own your choices."

Services. The site also describes an AI consultancy offer built on the claim that "99% of AI experiments fail". It proposes 5 steps: pick the one use case worth building, form a small team with a mandate, validate before building, build with the company's engineers, then launch and adopt. The services menu lists a Guarantee, Prototype, Consultancy, Delivery Services, Support Services and an SDLC Framework, and the About section links Documentation, Product changes and an Academy for learning the platform.

Plans, regulation and trust

The home page links a Pricing page but prints no prices itself. The buttons offered are "Start for free", "Start building", "Schedule a demo" and "Talk to an expert", and the legal footer links "Trial Terms of Use", so the free start runs under trial terms.

A good part of the home page is an argument about regulation, which the company uses to explain why ownership of code matters.

• The Patriot Act and CLOUD Acts, described as enforcing US firms to hand over data anywhere.
• The EU Data Act, which the site says requires cloud providers to shield data from foreign access and "bans switching fees after 2027".
• FISA Section 702, described as letting US intelligence agencies compel providers to hand over foreign users' data without a warrant.
• The EU AI Act, described as deciding which AI systems and vendors you are allowed to use.

These are the company's summaries of the laws, not legal advice. The company adds that location alone is not enough: "Is EU data hosting enough for digital sovereignty? No." It tells buyers to evaluate legal jurisdiction, supplier dependency, portability, infrastructure choices, access controls and a credible exit path.

For security, the home page shows a row of badges labeled "SOC 2 Type", ISO 27001, GDPR compliant, role-based access and ADFS SSO, and the footer reads "ISO 27001 Certified" next to a Compliance page. A platform status line reads "Operational".

The customer stories section, headed "Trusted by leading organizations", carries named quotes. Bas Wit, an innovation manager, says "Experiments take months, but building takes days." Steven Hanekroot, a product owner, says: "We've increased our developer pool by 300%, increased feasibility and adoption by 70%, and achieved a 2x reduction in development and maintenance costs." Jeremy Oddo, a global director of technology, says the platform hit "database, integrations, and a clean UX", and Andreas Steuer, a manager of digital solutions, describes Betty Blocks as "not just with a platform but with a partner in development." These are single-customer results, as the company presents them.

Who it suits and who it does not

Betty Blocks suits an enterprise IT team, or a public-sector or regulated organization, that treats application ownership and the ability to leave as procurement requirements. It also suits teams that want AI portals, agents and chatbots on top of their own data and are wary of binding that work to a single model vendor. The exported code and deployment options make the most sense for organizations with infrastructure staff who can run the result.

It is a heavier choice for a founder who wants a simple landing page, a freelancer building client sites, or a small team that needs a form tool this week. The marketing is built around sovereignty, so a buyer who does not care about hosting location, code export or AI vendor choice will be paying attention to features they do not need. Running exported code on your own infrastructure also means taking on that operational work. With no prices on the home page, the practical route is the free start under the trial terms, then a demo for budgeting.