We implement AI-powered DevOps solutions – benchmarked with IBM ITBench – that reduce deployment times by 70%, automatically resolve incidents, and save your team weeks and months of manual work.
Automatic detection, analysis, and resolution of infrastructure incidents through AI agents. Powered by IBM ITBench SRE – reduces MTTR by up to 80%.
ITBench + CrewAI + K8sAI-optimized pipelines that automatically prioritize tests, detect bottlenecks, and intelligently schedule deployments.
GitHub Actions + AI AgentsContinuous analysis of Terraform, Helm Charts, and K8s manifests for vulnerabilities – before they reach production.
IaC + SAST + AI ReviewAI-based prediction of capacity bottlenecks and performance issues before your users notice them.
Prometheus + Grafana + MLn8n-based automation of repetitive DevOps tasks: ticket creation, documentation, change management.
n8n + Claude + JiraAI-powered analysis and optimization of your cloud costs. Automatic right-sizing and spot instance management.
AWS + Azure + FinOpsCI/CD pipelines for trading platforms, core banking systems, and regulatory compliance in highly regulated environments.
Large-scale infrastructure automation, network monitoring, and 5G platform DevOps for major carriers.
Connected vehicle platforms, embedded CI/CD, and cloud-native automotive applications for premium OEMs.
Multi-cloud architectures (AWS, Azure, GCP, IBM Cloud), Kubernetes at scale, and platform engineering.
Secure infrastructure for government agencies and NGOs – compliance-first DevOps and sovereign cloud solutions.
High-traffic platforms – auto-scaling, performance optimization, and zero-downtime deployments for peak seasons.
We use IBM's open-source framework ITBench to test your infrastructure with 94 real-world SRE scenarios. This tells you exactly which incidents AI can already resolve automatically – and where human expertise remains essential.
Current benchmarks show: state-of-the-art AI agents resolve only 13.8% of SRE scenarios. With our architectural optimizations (multi-agent systems, state machines, summarizer agents) we increase the resolution rate by up to 53%.
We deploy real incident scenarios in an isolated copy of your Kubernetes/OpenShift environment – zero risk to production.
Our SRE agents analyze logs, metrics, and traces (Prometheus, Jaeger, ClickHouse), diagnose root causes, and test remediation strategies.
Using the Multi-Agent System Failure Taxonomy (MAST), we identify exactly where agents fail – and which architectural changes have the greatest impact.
You receive a detailed report with your AI readiness score, prioritized automation recommendations, and concrete ROI calculations.
Analysis of your existing CI/CD pipelines, monitoring, and incident processes. Identification of the biggest automation opportunities.
Concrete roadmap with prioritized use cases, expected time savings, and ROI calculation for each automation step.
Done-for-you implementation of AI workflows directly in your infrastructure. No theory – working automation.
Your team learns to operate and evolve the AI systems. Including documentation and support phase.
For teams that want to test AI
Complete AI-DevOps Transformation
For complex infrastructures
Free 30-minute analysis of your infrastructure. We show you exactly where AI can save hours.