endorsedCompleted

Multi-tenant Backend Architecture for Juna AI

Services Covered:

Custom Software Development

Industry

Artificial Intelligence and Machine Learning

Duration

8 months

Budget

10K - 49K

Start Date

1 May 2025

Team Size

1-5 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

81/100

Strong

Project Capability Score (PCS) estimates how capable Acquaint Softtech Private Limited is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Juna AI

Berlin, Germany

Project Summary

Acquaint Softtech restructured an AI company's backend (Juna AI) to support true multi-tenancy, improved role-based access control, and predictable subscription management. The engagement enabled safer deployment of AI models across tenants and smoother onboarding of enterprise customers. The client reported strong project management, responsiveness, and clear architectural documentation.

Key Challenges

Restructure a single-tenant backend into a secure multi-tenant architecture
Improve role-based access control and subscription management for enterprise users
Migrate existing live users to the new architecture without downtime or service disruption

Project Deliverables

Redesign of backend architecture for true multi-tenancy
Tenant-aware Laravel models
Laravel Policies and Gates for fine-grained access control
Refactored background processes using Laravel queues
Improved subscription logic supporting multiple plants and tiers
Architectural documentation for maintainability

Project Solution

Acquaint Softtech redesigned the backend to support true multi-tenancy using tenant-aware Laravel models and applied Laravel Policies and Gates to enforce fine-grained role-based access. They refactored background processing using Laravel queues for asynchronous workloads, improved subscription logic to support multiple plants and usage tiers under enterprise accounts, and documented architectural decisions to ease future maintenance. The team collaborated closely with the client's product and data teams to migrate live users without disrupting service and to support parallel feature development.

Project Outcome

Significantly smoother onboarding of enterprise customers
Ability to add organizations and production sites without manual fixes
Permission-related issues reduced and subscription handling became more predictable
AI models deployable across multiple tenants with isolated training data and predictions
Deliverables aligned with milestones and responsive handling of emerging requirements

Platforms

SaaS

Tech Stack

Laravel
RESTful API

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Thanks to Acquaint Softtech Private Limited's work, onboarding new enterprise customers became smoother, and subscription handling became more predictable. The team demonstrated strong project management skills and was highly responsive to evolving requirements. Their Laravel expertise was evident.”
Christian Hardenberg
Founder
Date: 01/28/2026