Migrate fast
A working app rebuilt in days from your old system's own code, schema, and screens, ~10× faster and ~10× cheaper than a traditional rewrite.
Publicly available 15 November 2026
Modernize your business.
Sapilon turns legacy systems and AI prototypes into production-ready software on an open-source core. Built to last years, not demos.
50days until public
Publicly available, open-source core included, on 15 November 2026.
Start with a prompt → 10-minute setup
Open-source core Plain Git Native AWS Private AI No lock-in
Built to survive
Lifecycle management, upgrade-aware diffs, and AI-safe ownership zones keep software healthy for years.
You own it
Open-source core, plain Git, native AWS. No lock-in.
- Days
- from legacy import to a working rebuild you can click through
- ~10×
- faster than a traditional rewrite
- ~10×
- cheaper than a traditional rewrite
- 0
- lock-in: open-source core, plain Git, standard AWS
Professional by default
The way the best engineering teams work. Without the jargon.
Good software teams don't just write code. They plan before they build, review every change, test before they ship, rehearse a release before it goes out, and keep a history they can roll back. That discipline is why their software is still running ten years later.
Sapilon runs your project the same way, at their best. What it takes off your plate is the rest: the technical vocabulary, the tooling, and the hours of setup and ceremony. Those happen automatically, in the background, and you see the decisions that need you in plain language.
A senior team does
In Sapilon
- Architecture review and a written plan
- You approve a plan written in plain language.
- Code review on every change
- Runs automatically on every generated change.
- Tests and a build pipeline
- Run before anything moves on. You see pass or fail.
- A staging environment and release checklist
- Your Rehearsal Server, and a gate that enforces the checklist.
- Version control and rollbacks
- Every change is a version you can undo.
- Infrastructure, monitoring and backups
- Provisioned and watched for you. No console, no pipeline to wire.
Open source
The core stays open source
Every Sapilon project stands on the same two foundations: a web platform and an api platform. Both are open source. The ground your software runs on is code you can read, fork, and keep running without us. The repositories go public on 15 November 2026, the day Sapilon becomes publicly available.
What you pay for is the work around it: the governed agent, your Build, Rehearsal, and Live Servers, and the experts. If you ever leave, the foundation leaves with you.
- web/
Web platform
The React and TypeScript foundation of every frontend: the ui-kit, app layout, sign-in, theming, and error handling.
open source
- api/
API platform
The TypeScript backend foundation: an OpenAPI contract, Postgres with versioned migrations, sessions, and file storage.
open source
How Sapilon modernizes your software
Every project moves through four stages: Design, Build, Rehearsal, and Live. Each one is gated, governed, and reversible. Not a one-shot generation.
- 01
Design
See the new system before any backend exists.
- A 10-minute guided interview learns your software: size, stack, team, and intent.
- Sapilon proposes an opinionated, AI-safe architecture and a migration roadmap.
- The new frontend is built with mocked data, so you validate the experience first.
- 02
Build
The governed agent wires it up end-to-end.
- Backend, database, and APIs are generated against best-practice templates.
- The app runs end-to-end on your Build Server, a real dev environment.
- Every AI action is logged, diffable, and reversible inside explicit ownership zones.
- 03
Rehearsal
A full dress rehearsal before anything goes live.
- Deployed to a pre-production Rehearsal Server on real AWS infrastructure.
- Real user journeys are walked through with automated code review and audit.
- Data migration is drilled and security and costs are checked, so go-live holds no surprises.
- 04
Live
Real users, real data, built to last years.
- The new system takes over on your Live Server; the old one is retired.
- Versioning, upgrade-aware diffs, and monitoring keep it healthy long-term.
- An open-source core, plain Git, and standard AWS, with cost visibility and no lock-in.
From prototype to production
Built an app with an AI builder and hit the wall when it had to become real software? Sapilon imports your prototype and makes it production-grade: proper architecture, tests, governance, and real cloud infrastructure. We treat these tools as sources you import from, not just rivals.
Compare Sapilon with other platforms →- Lovable →production
- Bolt →production
- Replit →production
- Base44 →production
- Google AI Studio →production
- v0 →production
Data migration
Your data comes with you
Years of customers, orders and invoices are usually the part of the old system that matters most, and moving them is the part everyone dreads. Sapilon writes down how every old table becomes a new one for you to approve, then rehearses the move on your Rehearsal Server until the totals match.
Run it as often as you like. Your Live Server only accepts a migration that has already rehearsed cleanly.
How Sapilon migrates legacy data →Rehearsal run report
Clean- Orders 2019–2025
- €4,182,336.20 in both
- Records pointing at nothing
- 0
- Status codes
- 11 of 11 mapped
Every run checks what landed: sample records before and after, matching totals, orphaned records, and every code and what it became.
AI governance you can trust
Every AI action is logged, diffable, and reversible. Explicit ownership zones make it clear what the AI may touch and what stays under human control.
//!AUTO: AI owns it //!SAFE: AI proposes, human approves //!DEV: humans only
Private AI
Your AI work stays inside AWS
Everything you give the AI and everything it gives back (your prompts, uploaded files, legacy data, the code it writes, its answers) is processed by Claude on Amazon Bedrock, in AWS data centres in the EU. None of it is sent to the model's maker, and none of it trains a model.
A modernization often carries real customer records, so we run AI the way EU regulators and enterprise security teams expect: in the EU, under the GDPR, with AWS as the processor and nobody else in the chain. It is the safest way we know to put AI to work on business software today.
Where your data goes →AI data, at a glance
EU only- Where AI runs
- Amazon Bedrock, EU AWS regions
- Shared with the model provider
- Never
- Used to train any model
- Never
- Prompts kept by the AI service
- No
- Every AI action
- In your project’s audit trail
When the AI shouldn't decide alone
Some changes deserve a human: a schema change on a live system, a security judgement, an irreversible data migration. Sapilon's governed gate stops the agent before it acts, a verified expert reviews the decision, and your agent resumes with a verdict and its reasoning.
How the experts ecosystem works →Every verdict is explicit
- Approve
- Approve with changes
- Reject
- Need more info
Reasoning is required for everything except a plain approve. Every rate is published and all-inclusive; Sapilon's share comes out of the price, never on top of it.
Not a vibe-coding toy. A software factory.
Most AI app builders optimize for speed and demos. Sapilon optimizes for software that has to survive: audited, governed, and owned by you. Here is where the difference shows.
- The industry problem AI code generation is chaotic
- The Sapilon way Opinionated, AI-safe architecture with explicit guardrails and automated review on every generated change.
- The industry problem Tools forget your project between sessions
- The Sapilon way Persistent project memory: architecture, intent, constraints, and decisions travel with the project.
- The industry problem Prototypes die on the way to production
- The Sapilon way A lifecycle-aware path that graduates prototypes into governed, tested, deployed software.
- The industry problem Legacy systems are stuck
- The Sapilon way AI-driven migration. A working app rebuilt in days from your old system's own code, schema, and screens, ~10× faster and ~10× cheaper than a traditional rewrite.
- The industry problem Data migrations go wrong on the day
- The Sapilon way Every mapping decision in writing, rehearsed and reconciled on a real server until the totals match. Live only runs a migration that has already rehearsed cleanly.
- The industry problem AI-generated screens look generic, or all different
- The Sapilon way Every screen is composed from one accessible UI kit, under design standards the agent follows. Want something more distinctive? A UI/UX expert designs it with you.
- The industry problem Fear of vendor lock-in
- The Sapilon way An open-source web and api platform, plain Git repositories, standard AWS services. You can take the code and leave at any time.
Publicly available from 15 November 2026
From that day anyone can start modernizing with Sapilon, and the open-source core goes public with it. Questions before then? Write to we@sapilon.com.
Publicly available on 15 November 202650 days to go
Start now