Most cloud partners added AI later. We were built around it. The same AI-first mindset runs through three stages of every engagement — how we operate, how we move workloads, and how we transform what lived before the cloud.
Continuous delivery with AI in every pipeline. LLM-assisted code review, anomaly detection in production traces, and intelligent incident response that catches problems before humans notice. AI watches the pipelines so your engineers don't have to.
Migrations accelerated by AI. Automated discovery, dependency mapping, LLM-driven risk scoring per workload, and intelligent wave planning — faster cutovers with lower risk, because AI does the discovery work humans used to do line by line.
Legacy code refactored by AI. Monoliths decomposed into microservices, .NET Framework and Java EE lifted to cloud-native patterns, and AI capabilities retrofitted into systems built before LLMs existed. Your old code, finally speaking the language of your new platform.
From public cloud to air-gapped infrastructure — we cover the full stack.
Mission-critical workloads for finance, telecom, energy, and public sector. High-availability architectures, disaster recovery, regulatory compliance — engineered to never go down.
24/7 monitoring, incident response, and optimization — for cloud workloads and on-premise infrastructure. SLA-backed managed services across AWS, Azure, GCP, Huawei Cloud, and bare metal.
Modern data lakes with MinIO, S3, and streaming pipelines. Cloud-hosted or on-premise — governed, scalable, and ready for AI workloads.
As authorized reseller of Zzeti Zeka Platform, we deploy LLM-agnostic AI with guardrails, agentic workflows, and full observability — on your cloud or your servers.
Fully sovereign deployments where no data leaves your perimeter. Open-weight models, private inference, KVKK/GDPR/SOC2 compliant from day one.
Right-sizing, reserved capacity, spot strategies. Continuous FinOps for cloud and hybrid environments — typical 25-40% cost reduction in first 90 days.
Hands-on, tool-agnostic AI competency programs: delegation judgment, verification discipline, data classification, and a measured 30-day adoption cycle — built on your own documents and workflows.
A full CI/CD, observability, and change-management stack engineered for regulated industries — finance, government, and healthcare. Self-hosted source control, pipelines, artifact storage, monitoring, and audit trails. Works on legacy Windows/IIS as cleanly as on modern Linux. Every component runs inside your network.
Private source control with LDAP/Active Directory integration, protected branches, and merge-request workflow — runs entirely inside your perimeter.
Static code analysis, security scanning, and automated quality gates block builds that fail review before they reach production.
Centralized, versioned storage for NuGet, npm, Maven, and Docker images. Your build outputs stay governed and reproducible.
Elasticsearch or OpenSearch with Logstash and Filebeat. Central log aggregation from Windows, Linux, and IIS — full-text search and long-term retention.
App health, infrastructure, security events, and deploy tracking — with alerting routed to email, chat, and on-call rotations.
GitLab Issues, Jira, or Redmine integrated with deployment gates. Every deploy has a requester, approver, and immutable record — finance-grade accountability.
Web Deploy, PowerShell DSC, and GitLab Runners on Windows. Legacy IIS workloads get modern CI/CD without rewrites or re-platforming.
Every change, approval, and deployment logged with immutable records. KVKK, BDDK, ISO 27001, and SOC 2 compliance — built into the pipeline, not bolted on.
Protected branches, mandatory reviewers, merge-request decoration, and automated reviewer assignment — quality enforced by workflow, not good intentions.
Every engagement covers what you need — here are other areas where we're hands-on.