KARCHEDON delivers enterprise-grade tooling for modern development teams. Design in Figma, export to production HTML, and ship native mobile apps — all from one licensed platform.
A unified platform covering the full development lifecycle — from design handoff to production deployment, web and mobile.
Full-stack web development engine with component-based architecture, automated build optimization, and seamless Figma-to-code pipeline.
Native iOS and Android development toolkit. Build once, deploy everywhere with our platform-specific optimization layer.
Enterprise design system management. Sync tokens, components, and documentation across design and engineering simultaneously.
Plugins included in your annual license. Install once, build everywhere.
The KARCHEDON Figma Plugin bridges the gap between design and engineering. Inspect components, export production-ready HTML/CSS, sync design tokens, and push changes directly to your KARCHEDON project — without leaving Figma.
KARCHEDON's HTML Engine is a standalone plugin that transforms any design, component spec, or JSON schema into clean, accessible, production-ready markup. Supports all major frameworks and custom output templates.
KARCHEDON streamlines the entire development process — from the first Figma frame to a live production deployment.
Purchase your annual license. Install the Figma plugin and HTML Engine plugin in seconds. License activates instantly across all your workspaces.
Work natively in Figma. Our plugin runs alongside your design workflow, analyzing components, extracting design tokens, and identifying patterns as you design.
Select any frame, component, or section. Export to clean HTML/CSS, React, Vue, or mobile-ready code with a single click. No cleanup required.
Connect to your Git repo. Use KARCHEDON's CI/CD integration to build, test, and deploy web or mobile apps directly from your development environment.
KARCHEDON integrates with the tools and frameworks you already use. No lock-in, no migration required.
One annual license covers all products and plugins. No per-seat surprises, no feature gating. Prices billed annually per workspace.
Detailed breakdown of what's included in each KARCHEDON annual license tier.
| Feature | Starter | Professional | Enterprise |
|---|---|---|---|
| KARCHEDON Web Platform | ✓ | ✓ | ✓ |
| KARCHEDON Mobile Platform | — | ✓ | ✓ |
| Design System Module | — | ✓ | ✓ |
| Figma Plugin (users) | 1 | 5 | Unlimited |
| HTML Engine Plugin | ✓ | ✓ | ✓ |
| Build Storage | 10 GB | 100 GB | 1 TB |
| Workspaces | 1 | 5 | Unlimited |
| CI/CD Integration | — | ✓ | ✓ |
| SSO / SAML | — | — | ✓ |
| On-Premise Deployment | — | — | ✓ |
| Dedicated Account Manager | — | — | ✓ |
| Support Level | Community | Priority Email | Dedicated SLA |
"KARCHEDON cut our design-to-code handoff time by 70%. The Figma plugin is the best I've ever used — it just works. No manual cleanup, clean semantic output every time."
"We ship a web app and two native mobile apps from the same KARCHEDON workspace. The unified tooling has been transformative for our 12-person team — one license, everything covered."
"The HTML Engine plugin deserves its own award. The Tailwind output is pixel-perfect and production-ready. Our frontend devs stopped dreading Figma exports entirely."
Join 40,000+ developers using KARCHEDON to ship web and mobile products faster. Annual license includes all plugins, all updates, and full platform access.
A 12-week program where students work on real client datasets from companies running on KARCHEDON — not textbook exercises. You clean the data, find where the value is hiding, build the model, and ship it to a production workspace. You leave with a portfolio piece that a business actually uses.
Every student is paired with an anonymised dataset from a company operating on the KARCHEDON platform — deliveries, stock, sales, field visits, invoices, product photos. Your job is to make that data produce a decision the business did not have before.
Messy, incomplete, duplicated, multi-tenant. The kind you never meet in a tutorial and always meet on day one of a job.
Weekly review with the engineers who built the platform your data comes from. Code review, not slide decks.
Your model is deployed on KARCHEDON infrastructure and called by a real screen. It is not a notebook that dies on your laptop.
A signed certificate, a public case study you own, and a direct line to the hiring track for the top of each cohort.
You choose a track at onboarding. Each one ends with something running in a live workspace — a pipeline, a model endpoint, or a decision report a manager reads every morning.
Take a raw multi-tenant collection and turn it into something trustworthy enough to decide on.
Train a model on real production images or transaction history, then serve it behind an endpoint.
Turn operational history into a number a manager acts on — and defend how you computed it.
You are not expected to arrive ready. Every accepted student goes through a two-week training course, offered at no cost, before the program begins — so the whole cohort starts week 1 on the same footing, whatever school you come from.
The hardest part of this program is not the machine learning — it is the first contact with a production dataset that nobody has cleaned for you. A student who spends week 1 fighting the tooling loses a third of the cohort. Two weeks up front costs us little and changes what you are able to build.
It also means we can accept people on curiosity and rigour rather than on whose school already taught them our stack.
Nothing. No fee, no card, no deposit, and no obligation to continue afterwards — if you go through the training and decide the program is not for you, you keep what you learned and we part on good terms.
The only thing we ask is that you actually show up: the sessions are live, and the cohort works better when everyone has done the same groundwork.
Part-time and remote-friendly. Roughly 10 hours a week, one live review session per week.
Submit the form below. Shortlisted candidates get a short take-home on a sample dataset — no algorithm puzzles, just data you have to make sense of.
Two weeks of training, offered at no cost, before week 1 even starts. Sign the confidentiality agreement, pick your track, and receive a sandbox workspace with your anonymised dataset loaded.
You own one real business question end to end. Weekly review with your mentor, and a checkpoint with the client stakeholder at week 6.
Deploy to a live workspace, present the result, and publish your case study. Certificate issued on a working deployment — not on attendance.
Prior machine-learning experience is not required — not even for track 02. That is exactly what the free two-week training course is for. Curiosity and rigour matter more than a long CV.
Every dataset is anonymised and scoped before it reaches you: personal identifiers, phone numbers and client names are stripped or pseudonymised, and you only ever see the tenant you were assigned.
Access is granted through a sandbox workspace with read-only credentials, and revoked at the end of the cohort. Exporting raw records outside that workspace is not permitted.
Signing the confidentiality agreement is a condition of onboarding. It protects the companies whose operations you are learning from — and it is the reason we can give you real data at all.
Applications for the 2026 cohort are open. Fill this in once — we reply to every applicant, accepted or not.
Thank you — your application to the KARCHEDON Student Data Lab is registered. We review every submission and will get back to you by email, whether or not you are selected for the take-home step.