VEYLAN brought strategy, creative and media workflows into an agency workspace. Zain Raza led the backend build for Ego Eimi, connecting the business data model to long-running AI jobs and live progress updates.
An agency works across organizations, clients, brands and campaigns. The same campaign can involve a strategy, proposal, creative brief and several conversations, so those relationships need to remain connected.
AI generation adds work that takes longer than an ordinary API request. The platform needed to keep the workspace responsive while showing people the state of a running task.
The multi-tenant Flask REST API modeled organizations, agencies, clients, brands, campaigns, strategies, proposals, creative briefs and conversations. PostgreSQL supported the shared data layer.
RabbitMQ workers handled tasks including story writing, conversations and campaign creation. Pusher streamed progress into the workspace, while integrations connected AI services, AWS S3, advertising data warehouses and demand-side platforms.
Project materials showing the workflows and interfaces described in this case.
Multi-tenant backend and asynchronous AI. The delivery section explains the workflow demonstrated here.
The backend connected the agency’s business objects to the execution of AI work. People could follow a campaign and its running tasks in the same workspace, with the supporting integrations handled behind the API.
A multi-tenant system needs clear client boundaries, job ownership and recovery rules. A takeover should map the queue, storage, progress channel and external providers together. That makes it possible to change the generation pipeline without losing the campaign context around it.
Project contribution: Zain Raza. The scope described above identifies the work behind this case.
Editorial review: Ego Eimi · Updated September 6, 2026 · About the team
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