Backend & business systems
APIs, core workflows and background jobs, for new systems and existing codebases.
ENGINEERING / AI-NATIVE DEVELOPMENT
Choose the right technology.
Validate it. Deliver it.
Experience gained from our own products and customer systems to the next development.
We choose the configuration based on business and operational conditions, not just the technology name.
Your business is not limited to one language.
From PHP and Laravel to Go, Java, Python, C#, ASP.NET, React and Next.js, Famgia develops the systems your business needs without restricting the solution to one language or framework.
New products, inherited codebases, cloud migration and operational improvements. We choose the architecture around existing assets, your team, budget and future changes.
TECHNOLOGY AREAS
Technical areas that support implementation.
Selected according to the project.
We do not adopt all of them in a single configuration.
Web frontend
Admin interfaces and public websites, with SSR or static generation selected for usability, performance and SEO.
Mobile & operational devices
Business apps designed around notifications, cameras, device integration and connectivity.
Databases & search
Schema and migration design for data consistency, permissions, audit history, search and reporting.
AI & data processing
OCR, computer vision, internal search and generative AI integration, evaluated for accuracy, permissions, latency and cost.
APIs & system integration
Connect payments, CRM, logistics and messaging, with authentication, retries, deduplication and traceable failures.
UI/UX & product design
From workflow interviews, information architecture and user flows to wireframes, prototypes and design systems, connecting design with implementation and usability testing.
Testing & quality assurance
Unit, integration, API, E2E, load and regression testing, including permissions, failure paths, concurrency, localization and accessibility.
AI agents & MCP
MCP servers and clients, tool integrations and business workflows, with authentication, execution permissions, human approval, logging and evaluation to control AI access.
DevOps, operations & security
Environment setup, CI/CD, monitoring, backups and recovery, with access separation, secret management and dependency checks built into delivery and operations.
Existing systems & modernization
Assess existing code without assuming a full rewrite, then plan API integration, incremental replacement, data migration and cloud adoption.
CLOUD & INFRASTRUCTURE
From AWS to the edge. Infrastructure that fits your operations.
We work across AWS, Google Cloud, Microsoft Azure and Cloudflare, combining services around existing contracts, data requirements, availability and operational workload.
AWS
Web applications, containers, event processing and data services, with network isolation, permissions, monitoring and backups.
Google Cloud
Container execution, analytics and AI integration, selected around existing environments, data location and operational ownership.
Microsoft Azure
Connect .NET business systems with Microsoft environments, aligning application hosting, data and identity with existing investments.
Cloudflare
From website delivery to edge APIs, combining DNS, caching, access protection and storage in a lightweight architecture.
This list describes our technology capabilities. The services used are selected for each project; it is not a service-by-service inventory of every customer deployment.
STACK SELECTION
Beyond trends. Designed for the long term.
- Start with workflows and data
We examine orders, payments, approvals and search alongside permissions and consistency requirements, then choose the stack—not the other way around.
- Build on existing assets and teams
Existing systems and internal standards matter. We consider maintenance, hiring and handover when deciding what to retain and what to change.
- Consider the full cost of ownership
We account for traffic, data transfer, retention, monitoring and incident response, designing both a practical starting point and a path to scale.
REFERENCE ARCHITECTUREClarify boundaries.
Clarify boundaries.
Only the necessary complexity.
Divide business operations and responsibilities, and choose service segmentation or asynchronous processing when there is a reason related to load or requirements.
- Points of Contact with Users
Management dashboard, store terminals, mobile apps. Designed according to the user and work environment.
- Business Logic & API
Organize business units and divide them into modules with clear responsibility ranges. Connect to external services or AI as needed.
- Data and Permissions
Consider transactions, access rights, history, and cache from the perspective of business integrity and operational conditions.
- Release and Operations
Automated testing, CI/CD, monitoring, backup. Design targets include changes and recovery after release.
AI IN THE DEVELOPMENT PROCESSMake with AI
Make with AI
People make judgments and confirm
Not only the speed of generation
We value the ability to change and explain
Organize requirements and constraints
People confirm the purpose, users, data handling, and acceptance criteria. We separate tasks to be entrusted to AI and those requiring judgment.
Leverage AI for implementation and routine tasks
Use AI for implementation assistance, test plans, review assistance, and document organization. The handling of confidential information will be confirmed in accordance with the terms of use.
Review and test to confirm
Do not directly adopt the output; confirm specifications, permissions, exception handling, and actual usage flow. The final decision is made by the engineer.
Connect operations to improvements.
Confirm user feedback, issues, exceptions, and the impact of changes. Respond to changes in AI and libraries through verification and phased updates.
Apply technology to real business operations.
See Development Cases →
CASE 02 Aftermarket automotive · Retail/service
Real-time AI masking of vehicle number plates in store footage
Prime Market-listed automotive parts chain with nationwide operations
Results
See challenges, initiatives, and scope of construction Stable operation without manual work. Corrections can be made from the operation screen for areas missed by the model, achieving both accuracy and operability. Infrastructure monitoring and operations are continuously handled after release.
CASE 04 Finance · Platform for shared asset ownership
From document OCR to asset operations and warehouse management
Business company of a Tokyo Stock Exchange Prime Market-listed group
Results
See challenges, initiatives, and scope of construction Eliminate manual data entry, reduce input errors and processing time. The entire internal business process runs on this foundation.