Early access is in progress

Connect the repo.
Deploy it. Track AI usage.

FaydabulCloud brings app deployment and LLM usage into the same panel. If data location matters for your team, that shapes our product decisions.

We are starting with the V1 flow

The first release focuses on GitHub deploys, domains, logs, AI Gateway, and usage summaries.

Coming soon

Agent Runtime

Agent execution is planned for V3.
Coming soon

n8n Hosting

Managed automation environments are planned for V2.
Coming soon

Vector Database

Embedding and search infrastructure for RAG projects is planned for V3.
Coming soon

Managed Databases

PostgreSQL, MySQL, Redis, and MongoDB management is planned for V2.
Coming soon

Object Storage

S3-compatible file storage is planned for V4.

Three problems we see often

FaydabulCloud will grow by answering these problems with small, working releases first.

Where data is processed

In health, finance, and public-sector projects, data location can block a technical decision.

A new account for every client

Agencies move between separate panels for deploys, logs, domains, and AI usage.

Separate tracking per model

Different LLM providers often mean different APIs, different limits, and different bills.

Roadmap

V1 stays narrow. Later phases will open based on user feedback.

V1

Panel and deploy

GitHub Connect, Deploy, Domain, SSL, Logs, AI Gateway, Billing
V2

Data and teams

n8n, PostgreSQL, Redis, Team Management
V3

AI operations

Agent Runtime, Workflow Engine, Vector DB, Monitoring
V4

Scale

Multi Region, Edge Runtime, Object Storage, Backup

Short answers

We are clear about what the product is targeting today.

Which features are in V1?

GitHub connection, deploys, domains, SSL, logs, AI Gateway, and basic usage summaries.

Is pricing final?

Not yet. During early access, we are validating plan limits and usage metrics.

Does this fit enterprise use?

Data location and KVKK needs shape the product decisions. Enterprise details will open in phases.

Read all questions

Try the first project from the panel

During early access, you can create an account and review the deploy and AI Gateway flow.