ABOUT US
We turn business goals into sustainable software systems.
We build custom software, modernize existing systems and bring AI solutions into production. Experienced technical leaders manage our projects and look at business goals, technical risks and operational sustainability together.
DevsGate Yazılım is a technology company in İzmir Bilimpark, focused on software engineering and R&D.
We run projects in Türkiye and in international markets, covering web and mobile applications, custom software, enterprise integration, digital transformation, AI and LLM. When needed, our experienced engineers also work as part of existing teams.
Our goal is not only to deliver software that works. We build systems that are sustainable, scalable, secure and manageable in production, and we continue to support them after go-live.
New products and SaaS
We design and build products, SaaS platforms, web and mobile applications from scratch.
Modernizing existing systems
We take over systems with growing technical debt or rising maintenance costs and modernize them in controlled steps.
Enterprise integration
We connect existing applications with each other and with new architectures through API and integration layers.
AI in production
We take AI and LLM solutions beyond the demo stage and make them work together with your enterprise systems.
We evaluate technical decisions together with business goals and operational realities.
How we work
We define the technical scope by looking at business goals, existing systems, integration needs, budget, timeline and operational risks together. Before development starts, we clarify dependencies, technical risks, success criteria and responsibilities.
Progress stays visible and measurable throughout the project. We share technical decisions, scope changes and possible risks with stakeholders regularly instead of leaving them to the delivery stage.
Technical leadership and engineering culture
A project is not only the work of software developers. Business analysts, solution architects, UX/UI designers, software engineers, QA, security and operations teams work together toward the same product goal.
Experienced solution architects and technical leads guide our projects. We explain technical topics clearly to business units and other stakeholders, and we work to solve problems before they reach delivery or production.
Product and software lifecycle
We work across the full software lifecycle, from discovery to continuous improvement after go-live. Not every project has to follow the same process. We adapt the working model to the scope, technical risk, existing systems and business goals of each project.
- Discovery
- Business Analysis
- Solution Architecture
- Information Architecture
- UX/UI
- Development
- QA and Cybersecurity
- Deployment
- Monitoring
- Production Support
- Maintenance
- Continuous Improvement
How we deliver
- Agile and iterative development, depending on the project
- Short sprints with a working, verifiable result in every iteration
- Code review, automated testing and CI/CD
- Phased delivery and approval when the scope must be clear from the start
- Data privacy and cybersecurity requirements addressed from the start
Checks we apply before production
- Automated tests and code quality checks
- Dependency and package checks
- API, integration and database verification
- Static application security testing (SAST) and software composition analysis (SCA)
- Container and infrastructure security checks
- Application security checks based on the OWASP Top 10
We turn new technologies into solutions that work in production.
Our approach to R&D
In our R&D unit in İzmir Bilimpark, we do not only follow new technologies. We assess their technical and commercial feasibility, build prototypes and make them ready for real projects.
AI, software architecture, automation and data-driven solutions make up a large part of our R&D work. Support from TÜBİTAK for our R&D activities helps this work progress in a sustainable and measurable way.
Bringing AI and LLM into production
We do not leave AI and LLM projects at the demo or proof of concept stage. We build RAG architectures on enterprise data, AI Agent workflows, document processing systems and AI-supported automation that are integrated with existing applications.
Success does not depend only on the chosen model. We design data security and access control, evaluation, monitoring, observability and enterprise system integration as core parts of the solution.
We work in industries where business processes are critical
We have many years of project and field experience in banking and payment systems, healthcare technology and logistics. In these industries, high availability, data security, heavy integration, performance and operational continuity are shared requirements.
Banking and Payment Systems
We have experience with payment gateways, transaction lifecycles, integrations and high-volume transaction systems in business-critical applications where data security is central.
Healthcare Technology
In systems that process patient, clinical and health data, we address data integrity, access control, reliability, user experience and operational continuity together.
Logistics
We have experience with heavy integration, high transaction volumes, shipment and parcel processes, carrier connections and operational systems that run 24/7.
Telecommunications, Information Technology and SaaS
We build API-driven systems, highly available services, integration platforms and scalable SaaS architectures.
Going live is not the end of a project.
In business-critical systems, we monitor the live environment, respond to incidents and turn what we learn into lasting technical improvements.
Monitoring and incident management
With application and database monitoring, log analysis and performance tracking, we detect issues early and manage incidents by priority.
Root cause analysis
We do not stop at temporary fixes. With root cause analysis, runbook management and release verification, we make improvements that last.
Continuity and recovery
We support operational continuity with backup and recovery checks, high availability and disaster recovery processes.
Technologies
We choose technologies together, based on project needs, existing systems and the skills of your team.
| Area | Technologies |
|---|---|
| Backend | C#.NETJavaPythonGoNode.jsExpress.jsDjangoFlaskPHPLaravelRuby on Rails |
| Frontend | TypeScriptJavaScriptAngularReactVue |
| Mobile | iOS / SwiftAndroid / KotlinReact Native |
| Database and Data | PostgreSQLMicrosoft SQL ServerMySQLOracle / PL/SQLMongoDBRedisElasticsearchFirebase |
| AI and Machine Learning | PythonTensorFlowPyTorchscikit-learnRAGLLMAI AgentsAgent WorkflowsNLPComputer Vision |
| Cloud and Platform | DockerKubernetesTerraformMicrosoft AzureAWSGoogle Cloud Platform |
| Architecture and Integration | REST APIMicroservicesDistributed SystemsMessage QueuesThird-party Integrations |
| DevOps and DevSecOps | CI/CDGitSASTSCAContainer SecurityIaC SecuritySonarQubeSecure SDLC |
| Quality | API TestingIntegration TestingRegression TestingAutomated TestingPerformance Testing |
Together with our affiliate Devsfield we share capabilities in software development, technology consulting and international project operations.
Frequently asked questions
Can you take over and modernize an existing system?
Yes. We start by analyzing business processes, existing applications, integrations, data flows and technical bottlenecks. Where needed we rebuild specific modules and connect existing systems to modern architectures through API and integration layers. While keeping the working structure intact, we focus on reducing technical debt, improving performance, automating manual processes and lowering maintenance costs.
How do you handle data security in AI and LLM projects?
We treat the question of which data goes to which model or service as part of the architecture decision. For personal data and corporate information we consider KVKK requirements, company policies, provider terms and access boundaries together. We choose open source and commercial models based on data structure, security requirements, expected accuracy, response time and total cost of ownership. We design AI Agent solutions to operate with defined permissions. We build traceability and human approval at critical steps into the workflow.
How does the team augmentation model work?
We add experienced software engineers and technical specialists to your existing teams. Our team members join sprint planning and stand-up meetings, task management in Jira or Azure DevOps, and your code review, CI/CD, release and support processes directly. We report technical progress daily, weekly or monthly, depending on your needs.
How do you measure success?
We agree on success criteria together before development starts. We do not measure success only by the number of features delivered, but also by indicators such as process duration, operational efficiency, error rate, system performance and total cost of ownership.
What do you hand over at the end of a project?
At handover we transfer not only the source code, but also technical decisions, documentation, operational knowledge and the knowledge built up during the project. In international projects we handle technical communication, documentation and knowledge transfer in English or German.
Let us evaluate your next technology investment together.
Whether it is a new product, the modernization of existing systems or an AI-supported solution, we can review the technical scope and your business goals together.
- Discovery and scope
- Transparent progress
- English / German communication
- Production support
Discovery and scope
Transparent progress
English / German communication
Production support