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How VOLO Integrated Multi-Tenant Systems and AI to Scale Visual Abstracts

Executive Summary

Client: Visual Abstract
Industry: Scientific Communication, Content/Visualization Services
Engagement: Full-Cycle Software Development Partnership
Country: Germany

Project at a Glance

Visual Abstract helps researchers create impactful visual summaries of their scientific publications. With growing demand, they needed a scalable system to streamline the process. 

VOLO delivered a custom platform, automating task distribution, improving team collaboration, and integrating AI-generated content into workflows. The solution supports both mobile and web apps, enabling seamless operation even in multi-tenant environments.

At Glance Background
30%

Efficiency Improved via AI-Integrated Workflow System

5+

Languages Support via Azure GPT

12

Month Project Duration

3

Platforms Included (Mobile & Web App Delivered (iOS, Android, Web Portal))

About the Client

Visual Abstract is a Germany-based company that transforms scientific research into engaging visual summaries, helping researchers increase the visibility and impact of their work. 

By creating innovative visual abstracts, they help make research findings more accessible, particularly on social media. Visual Abstract’s growing demand required a custom solution to manage the increasing workload and improve internal processes.

The Challenge

As Visual Abstract grew, its internal processes became manual and inefficient. Without dedicated software tools, task distribution and progress tracking were difficult. Their existing AI solution lacked integration and didn’t support the full workflow, leading to delays and inconsistent outputs.

Visual Abstract needed a scalable system to automate the process, improve collaboration, and ensure a smooth, trackable experience for both team members and clients.

Key Challenges

  • Automate task distribution and improve team collaboration
  • Integrate AI-generated content into the production workflow
  • Ensure system scalability for growing demand
  • Provide real-time notifications and task tracking
  • Implement a multilingual solution for global outreach

In addition, the project had to support multi-tenant environments and integrate AI content generation with automated review and refinement processes.

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Our Solution

VOLO worked as an end-to-end technology partner, delivering a custom platform with mobile and web apps. The solution was built in phases, with the first phase focused on core system delivery and the second phase on ongoing maintenance and feature updates.

Mobile and Web App Development

The mobile app allows users to track the status of visual abstract requests and monitor task progress in real time. The web portal acts as the admin panel, offering managers oversight, task assignment, and analytics. Both platforms are fully integrated to provide a seamless user experience.


AI Integration


VOLO integrated the existing AI solution into the platform, automating content generation and refining outputs within a structured workflow. This integration reduced manual intervention and improved the consistency and quality of the visual abstracts, streamlining the process significantly.


Key Features Delivered


The solution includes AI-generated content seamlessly integrated into the workflow, a task management system for improved team communication, and real-time notifications for task updates. It also features multilingual support using Azure GPT for dynamic translation and CI/CD pipelines. The platform supports multi-tenant functionality, allowing for client segmentation and efficient management across different user groups.


Technology Stack


The platform’s backend is built using Python & Django for rapid, flexible development. PostgreSQL ensures scalable and reliable data management, while AWS powers the cloud infrastructure for hosting and scalability. Azure GPT is used for real-time multilingual content translation, and custom CI/CD tools streamline build, test, and deployment processes.

Team & Delivery Approach


A dedicated, small team of 3 specialists, including a backend engineer, a DevOps engineer, and a project manager, worked
in agile sprints to deliver the platform in phases. Regular check-ins with Visual Abstract ensured alignment with their needs, and knowledge transfer was key to enhancing the client’s internal development practices.


The Impact

Beyond the numbers, VOLO’s AI integration transformed UVP into a more intelligent, accessible, and flexible recruitment platform. By optimizing operational workflows, automating repetitive tasks, improving the quality and consistency of role-to-candidate matches, and embedding real-time, context-aware support, the platform now delivers faster and more accurate decisions, enhanced user experiences, and greater efficiency for recruiters.

These improvements also create a strong foundation for future AI-driven innovation, allowing the platform to adapt to evolving business needs, incorporate new features, and continue serving a diverse, global audience with ease and reliability.

Key Takeaways

Phased delivery enabled rapid development

By focusing on structured phases, VOLO ensured clear milestones and quick delivery, meeting the client’s evolving needs.

AI integration enhanced workflow automation

Integrating AI-generated content directly into the production pipeline reduced manual work, improving both consistency and quality.

Modular and Scalable Architecture

The platform’s modular architecture supports future scalability, allowing easy updates

and seamless integration of new features.

CI/CD pipelines improved efficiency

The automated pipelines reduced delivery time and increased reliability by streamlining testing and deployment processes.

At Glance Background

“We needed professional people and people who are good at communicating, supporting, and developing something that doesn’t exist. What I most like about working with VOLO is the team; it’s a real team environment. There are a couple of metrics that qualify you as a partner, and VOLO really complies with all these metrics, as you would expect.”

Saribek Karapetyan

Co-Founder at Visual Abstract

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