A live canvas where managers, developers, marketers and AI co-operate on one application model — five years ahead of generation-first AI builders, and deployable entirely inside your perimeter.
Generation-first tools — Lovable, Bolt, v0, Cursor — write React and a Supabase table. The result runs. The structural layer that turns running code into a business — RBAC, multi-language fields, dashboards, runtime editing for non-developers, observability, payments, RAG — still gets built by hand.
Weezzi was a working application platform for 10+ years before the AI layer arrived. The AI doesn't generate scaffolding from scratch every prompt — it shapes a model the platform already knows how to compile into production.
Most platforms force a hand-off — AI writes code → devs port it → marketing waits → ops deploys. Weezzi makes all four roles operate against the same living application model, in parallel.
Industry studies show low-code platforms deliver 60–90% faster delivery and 50–70% cost reduction. Weezzi pushes that further: AI generation on top of a deterministic platform engine that's been compiling business apps for a decade.
Per element, deterministically. Thousands of lines, error-free, every time. Devs only write what's actually unique.
For a typical SaaS, 90%+ of the codebase is undifferentiated plumbing — the same patterns repeated. That's what Weezzi compiles. The rest is yours.
Cursor, GitHub Copilot, and Claude Code are typing accelerators. They make individual developers faster at producing the same shape of code your stack already had — including the inconsistency, the duplication, and the tech debt. Weezzi solves a different problem.
A copilot suggests the next line. It has no model of your application — no schema, no roles, no workflows, no design system. It autocompletes, but it doesn't standardize.
Weezzi compiles your application model into code. RBAC, pagination, multi-language, observability, audit — generated from the model, not hand-coded by whoever picked up the ticket.
Most platforms force one language per project. Weezzi runs Java natively and embeds Python, JavaScript, TypeScript and Scala via GraalVM — choose the right tool per element, not per project. AI converts between them in one click.
Engineering control isn't an add-on — it's the substrate. Six pillars CTOs ask about on the first call.
Standard Java, Python, JavaScript code — no proprietary runtime. Export the repo. Self-host on Docker or Kubernetes. Source code escrow available on Enterprise.
Role-based access control is generated, not configured by hand. Multi-tenant isolation. Security gateway runs as a microservice in front of app servers. Encryption-at-rest for credentials.
Logs, traces, metrics generated per app. Prometheus/Grafana ready. Alert routing via email/Slack per environment. No third-party APM bolt-on required for baseline visibility.
Java, TypeScript, JavaScript, Python and Scala on a single project. Pick the right tool per element, not per project. GraalVM-powered, one-click AI conversion between any pair.
Sites and components update without server restarts. Multi-environment (dev · staging · UAT · QA · prod) with per-env secrets, deploy targets, observability, and rollback.
Self-host the entire Builder, not just generated apps. Bring your own LLM or use Weezzi's zero-retention API. EU AI Act and GDPR-aligned by design. SOC 2 + ISO 27001 on the roadmap.
Most AI builders are SaaS-only — your prompts, schemas, and code travel through their servers. Weezzi is the rare platform where the entire build environment, runtime, and AI inference can run on your hardware. Your code never leaves.
On-premises and air-gapped deployments are first-class. You control the network, the data, and the inference layer — not us.
Three questions every CTO asks. Three answers Weezzi gives in writing.
On your servers. The Builder runs inside your perimeter on Docker or Kubernetes. Generated repositories never leave your network. Source code escrow available for Enterprise.
Air-gapped supportedWherever you decide. Plug your own LLM endpoints — Llama, Mistral, Qwen, Claude on Bedrock, Azure OpenAI — and prompts stay inside your tenancy. Or use Weezzi's managed endpoint with a contractually zero-retention guarantee.
BYO LLM · zero retentionEU AI Act and GDPR alignment by design. SOC 2 Type I and ISO 27001 on the 24-month roadmap. Audit logs, role-based access, encrypted secrets, and tenant isolation are generated — not retrofitted.
EU AI Act · GDPR · SOC 2All three keep generated code on your infrastructure. The difference is where the AI itself runs.
Not "fastest first prototype." The dimensions that determine whether the system survives year three.
| Dimension | AI builders Lovable · Bolt · v0 |
No-code Bubble · Webflow |
Enterprise low-code OutSystems · Mendix |
Weezzi |
|---|---|---|---|---|
| Real code ownership | Partial | Weak | Proprietary | Core |
| Self-host / on-prem | Limited | Limited | Proprietary | Core · free |
| AI-native generation | Strong | Add-on | Copilot retrofit | Core |
| Backend depth (RBAC, payments, queues) | Improving | Platform-native | Strong | Strong |
| Live operator editing in prod | Weak | Medium | Weak | Core |
| Polyglot · per-element language choice | JS / TS only | Limited | One language | 5 languages |
| Standardized output across teams | Inconsistent | Templates only | Strong | Core · model-driven |
| Observability & multi-env | Bring-your-own | Limited | Strong | Built-in |
| Vendor lock-in risk | Medium | High | High | None |
We'll deploy Weezzi Builder in your environment — air-gapped, on your Kubernetes, or in your cloud account — and rebuild one of your existing applications as the test case. No data leaves your perimeter.