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Engineering the systems behind modern digital productsModern dijital ürünlerin arkasındaki sistemleri kuruyoruz⁠.

Cloud infrastructure, software and AI — designed, built and operated for production.Bulut altyapısını, yazılımı ve yapay zekâyı canlı ortam için tasarlıyor, hayata geçiriyor ve işletiyoruz.

One team is responsible from the first diagram to the on-call rota.İlk çizimden nöbet çizelgesine kadar sorumluluk tek bir ekipte.

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The first consultation is free.İlk görüşme ücretsizdir.

System status (illustrative)Sistem durumu (temsilî)

URS TECHNOLOGIESURS TEKNOLOJİ

STATEDURUM
NOMINALNORMAL
NETWORKAĞ
CONNECTEDBAĞLI
BUILDORTAM
PRODUCTIONCANLI
MODEMOD
ENGINEERINGMÜHENDİSLİK
BASEMERKEZ
İZMİR, TRİZMİR, TR

The drawing shows a running system. Its parts:Çizim çalışan bir sistemi gösteriyor. Bileşenleri:

  • TRAFFICTRAFİK: Requests entering through the edge, the CDN and the load balancers.Uç katmandan, CDN'den ve yük dengeleyicilerden sisteme giren istekler.
  • SECURITYGÜVENLİK: Boundaries, identities and secrets, planned at the architecture stage.Sınırlar, kimlikler ve gizli anahtarlar; mimari aşamasında planlanır.
  • APIAPI: Contracts between systems, designed before they are built.Sistemler arasındaki sözleşmeler; kodlanmadan önce tasarlanır.
  • SERVICESSERVİSLER: Applications and microservices that run your business logic.İş mantığınızı çalıştıran uygulamalar ve mikroservisler.
  • DATAVERİ: Databases, queues and streams: where state lives.Veritabanları, kuyruklar ve akışlar: sistemin durumu burada tutulur.
  • AIYAPAY ZEKÂ: Models running in production, with monitoring and guardrails.Canlı ortamda, izleme ve güvenlik sınırlarıyla çalışan modeller.
  • CLOUDBULUT: Compute, network and storage, defined as code.Kod olarak tanımlanan işlem gücü, ağ ve depolama.
  • DEPLOYDAĞITIM: Pipelines that take every change to production safely.Her değişikliği canlı ortama güvenle taşıyan hatlar.
  • OBSERVABILITYGÖZLEMLENEBİLİRLİK: Metrics, logs and traces that show what the system is doing.Sistemin ne yaptığını gösteren metrikler, loglar ve izler.

Four disciplines, one accountable team.

One team is responsible from the first diagram to the on-call rota. Most vendors hand work off between separate infrastructure, application and AI teams. We run all three, so nothing falls through the gaps.

DevOps, SRE & cloud infrastructure

Self-healing, auto-scaling platforms on AWS, Azure or Google Cloud. Zero-downtime deployments, observability and on-call, so your team ships instead of firefighting.

Diagram: a load balancer spreads traffic across Kubernetes clusters in two regions. Data replicates between regions, a CI/CD pipeline deploys to both, infrastructure is defined as code, and monitoring raises incidents.

  • CI/CD pipelines
  • AWS, Azure, Google Cloud
  • Kubernetes
  • Infrastructure as code
  • 24/7 monitoring
  • Incident response

Usually built with AWS, Azure, Google Cloud, Kubernetes, Terraform, ArgoCD, Prometheus and Grafana.

Talk to us about infrastructure

Custom software development

Web and mobile applications, APIs and microservices designed around your workflows and sized for real traffic.

Diagram: web and mobile applications call an API gateway that routes to microservices. Services share data, publish to a real-time event bus and integrate with external systems.

  • Web applications
  • Mobile apps
  • API design
  • Microservices
  • Real-time systems
  • Integrations

Usually built with TypeScript, Node.js, Go, React, Next.js, PostgreSQL and Kafka.

Talk to us about software

AI-powered products

Assistants, document processing, forecasting and computer vision, shipped as production software with monitoring and guardrails rather than demos.

Diagram: data from several sources is ingested and indexed. Each request runs inference, and every answer passes guardrails before it reaches assistants, document processing, forecasting, vision, voice and automation products.

  • Assistants & chatbots
  • Document processing
  • Forecasting
  • Computer vision
  • Voice & NLP
  • Workflow automation

Usually built with Python, PyTorch, LangChain, OpenAI, Anthropic Claude and Pinecone.

Talk to us about AI products

Custom LLM & model development

Fine-tuning and training on your data, retrieval pipelines and MLOps, deployed on-premises or in your own cloud.

Diagram: inside your own environment, your data feeds fine-tuning and an embeddings and retrieval (RAG) pipeline. The optimised model is deployed on-premises through MLOps and monitored, and production feedback returns to the data.

  • Fine-tuning
  • RAG pipelines
  • Embeddings
  • MLOps
  • On-premises deployment
  • Model optimisation

Usually built with PyTorch, Hugging Face, MLflow, Kubernetes and Docker.

Talk to us about models

Tools we run in production.

Arranged as they sit in a production stack, from the interface down to the cloud. Select a tool to see what it works with.Tap a tool to see what it works with.

Interfaces

Services & APIs

AI & models

Data & messaging

Platform & delivery

Observability

Cloud & edge

A sequence you can audit.

Every engagement moves through the same four stages, with a written output at each one.

  1. Discover

    We work through your goals, constraints and existing systems with your team before proposing anything.

    OUTPUT — A written brief: goals, constraints, a map of current systems.

  2. Architect

    We choose the architecture with you and write down the trade-offs.

    OUTPUT — An architecture document and milestones you can hold us to.

  3. Build

    We build in weekly sprints, integrating continuously so every change is tested.

    OUTPUT — Working software you can try at the end of every sprint.

  4. Operate

    We launch, watch the system in production and keep fixing and improving it.

    OUTPUT — A production system under monitoring, with regular improvements.

What working with us looks like.

We do more than write code. We take responsibility for the outcome.

  1. End-to-end ownership⁠.

    From architecture to deployment to monitoring, the whole lifecycle sits with us. No handoffs, no gaps.

  2. Security by design⁠.

    Security is planned at the architecture stage and hardened from day one, not bolted on later.

  3. Built to scale⁠.

    We design for where you are going, not where you are. Tenfold growth should not require a rewrite.

  4. Transparent communication⁠.

    Weekly updates and shared dashboards. You always know exactly where the project stands.

  5. Working software, every week⁠.

    Demos instead of slide decks. At the end of each sprint you see something that runs.

  6. A dedicated team⁠.

    No assembly-line projects. Each client works with a stable team that understands their business.

The terms, up front.

Free first consultation
It costs nothing and commits you to nothing.
No lock-in contracts
Stay because the work is good, not because a contract says you must.
You own the source code
Repositories, infrastructure code and documentation belong to you.
Support after launch
We stay on after go-live to monitor, fix and improve.

WHAT ARE YOU BUILDING?

Let's engineer the system behind it.

Send a short description of your project. We reply within one business day, and the first consultation is free.

Email
info@urstechnologies.com
Phone
+90 553 741 59 91
Office
İnci Tower, Floor 4, No. 45
Bayraklı, İzmir 35530, Türkiye
Company
URS Teknoloji Yazılım Ticaret Ltd. Şti.

Write to us directly and tell us what you are building: goals, timeline and current systems.

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