Free
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Analyse your first monolith and see its architecture.
Start freeArchitecture intelligence for large Java systems
AI coding agents transform code. SeamX determines the architecture they should transform toward.
For engineering teams modernizing monoliths of 250,000 to several million lines.
The problem
After years of change, the real structure of a system lives in call graphs and database access, not in the package layout. Teams that want to modernize face the same question first: what should this become, and in what order?
Answering by hand means reading hundreds of thousands of lines and holding the result in your head. Guessing is expensive — a wrong seam couples two services that should have stayed one, or splits one that should never have been divided.
How SeamX works
Point SeamX at your Java monolith. It builds a complete map of the code, its dependencies, and how it actually runs.
Explore the architecture as one navigable graph — packages, calls, data access, and runtime paths in a single view.
SeamX proposes service boundaries backed by evidence, not naming conventions or folder structure.
Weigh candidate architectures against each other on coupling, cohesion, and the cost of extraction.
Choose a target architecture and a sequence — what to extract first, and what has to change before you can.
Hand precise change specifications to your AI coding agents and validate the result against the target.
Strategic zoom
SeamX renders the entire architecture as one graph you can move through like a map. Zoom out to see domains and the traffic between them; zoom in to a single class and the exact calls that hold it in place. The view stays coherent at every scale, so you never lose the shape of the system while working on its details.
Ask the architecture
Ask SeamX what stands between a domain and independence — “show everything that prevents Payments from becoming its own service” — and the graph responds: the cross-domain calls, the shared tables, the runtime paths that would break.
The graph stays the primary surface. The AI directs your attention across it and explains what it found; it does not replace the evidence underneath. You always see why an answer holds.
Evidence, not guessing
Packages, types, and the call graph extracted directly from your code.
Which components read and write which tables — the couplings a class diagram never shows.
How requests actually traverse the system, so proposed seams survive real traffic.
Candidate boundaries scored on coupling and cohesion, not on naming or intuition.
Architecture to execution
A target architecture is only useful if you can reach it. SeamX turns a chosen boundary into precise change specifications — what to move, what to sever, what to introduce — in the order that keeps the system working at every step.
Those specifications are what your AI coding agents execute. SeamX determines the destination; the agents transform the code toward it, and SeamX checks the result against the target you decided on.
Works with your agents
SeamX works alongside the coding agents and pipelines you already use — through its APIs, an MCP interface, a CLI, and the web UI. Claude, Codex, Kiro, your CI, and your engineers all operate on the same architecture model. You pay for the system under modernization, never per agent and never per seat.
Built for real systems
SeamX targets Java systems from a quarter of a million to several million lines — the size where manual architecture work stops being feasible. The analysis is built to stay sparse and scale with the graph rather than collapse under it.
Pricing
You pay for the tenant, not the seat — the system under modernization is the unit.
€0
Analyse your first monolith and see its architecture.
Start freeUsage-based
Occasional decomposition work without a fixed commitment.
Start with FlexFlat per tenant / month
Dedicated infrastructure for continuous modernization.
Start with TeamSecurity & trust
SeamX runs each customer in an isolated tenant. Your source is analysed inside your tenant, and AI-provider credentials are never exposed to the browser or embedded in artifacts. Read how isolation and data handling work.