Custom Token & Media Platform Engineered for a Global Content Marketplace

Our client runs a large-scale digital content platform with thousands of users transacting using platform-specific tokens.

The platform faced technical limitations during a cloud migration — and lacked clear visibility into token ownership and usage.

They needed:

• Transparent token tracking to build user trust

• A robust system to support token reuse and transfers

• A custom transcoding solution to replace AWS with Azure

• Streamlined media workflows with screenshot automation

The client wanted to:

• Track token transactions across purchase, earning, and reuse cycles

• Ensure tokens could be reused without losing accountability

• Replace AWS-based transcoding with a cost-effective Azure setup

• Automate screenshots and enhance video/audio conversion reliability

• Minimize third-party dependency and control infrastructure costs

Despite strong platform adoption, key backend limitations were holding them back:

No granular system to track token usage or transfer between users.

Sellers couldn’t reuse earned tokens without breaking ownership history.

Azure lacked built-in support for many AWS transcoding workflows.

Screenshot generation and batch processing were unreliable and fragmented.

Muoro deployed a specialized backend engineering team with Ruby, Azure, and PostgreSQL expertise.

We built a robust token tracking framework to:

• Bifurcate tokens into traceable units

• Maintain ownership logs using relational DB design

• Enable sellers to reuse earned tokens with accountability

Impact: Enabled full transparency into token lifecycle, building platform trust.

We created a custom media processing system on Azure to:

• Replace AWS features using Ruby scripts and FFmpeg

• Automate screenshots and batch video/audio conversions

• Add error handling and health checks for reliable output

Impact: Delivered a seamless Azure-based workflow that reduced costs and removed AWS dependency.

To deliver custom token logic and reliable transcoding, we used a modular, scalable tech stack:

1. Custom Ruby Modules – Built logic for token bifurcation, reuse, and transaction logging

2. PostgreSQL – Maintained ownership logs and ensured consistent data relationships

3. Rails Admin – Provided internal visibility into token histories

1. Azure Blob Storage – Hosted raw and processed media files

2. FFmpeg + Ruby – Enabled custom video/audio conversions and screenshot automation

3. CRON Jobs – Scheduled batch processing and health checks

We always deliver on the outcomes that matter most:

Users and sellers could track every token movement with full confidence.

Automated, error-managed workflows reduced manual intervention and downtime.

Replaced AWS media workflows with a cost-efficient, self-hosted Azure solution.

Decoupled backend systems improved development velocity and scalability.

The client gained:

• A token system built for traceability, reuse, and security

• A transcoding engine that matched AWS output without the overhead

• Clear operational visibility with fewer third-party touchpoints

• A future-ready platform infrastructure, owned and managed in-house

From backend token logic to cloud-native workflows, Muoro delivers what others can’t — fast.

Let’s talk.