Accelerate development and code generation by automating your DevOps CI/CD pipelines
View All ServicesProactive anomaly detection and root-cause clustering for your infrastructure. Our AIOps platform ingests metrics and logs, predicts outages before they happen, and suggests automated remediation steps—so you spend less time firefighting and more time building.
End-to-end ML pipeline orchestration: from data versioning (DVC) to model training, drift detection, and canary deployments with Kubernetes. Automate your model releases, monitor performance, and roll back safely—all in a single, scalable platform.
Generate and audit Infrastructure-as-Code from plain-English descriptions. Our AI recommends secure Terraform/Helm snippets, flags misconfigurations, and optimizes for cost. Say goodbye to manual template tweaks and ensure best practices in every commit.
A natural-language DevOps bot for Slack/Teams that understands fuzzy commands like “What’s the prod cluster status?” Execute safe automations (rollbacks, log queries), get incident summaries, and collaborate without leaving chat. Security-first design with RBAC and confirm-before-execute workflows.
AI-powered forecasts of next-month cloud spend and automated right-sizing recommendations. Analyze usage patterns, predict budget overruns, and see ROI estimates—never be surprised by your bill again. Multi-cloud support with a clean dashboard and Slack alerts.
Beyond CVE checks: use ML to detect unusual IaC patterns, suspicious code commits, and runtime log anomalies. We integrate with your CI/CD to flag insecure Dockerfiles, Kubernetes RBAC misconfigurations, and potential data leaks—keeping you compliant with industry standards.
Data-driven assessments for legacy→cloud-native lifts. Automatically cluster your on-prem servers and apps, score migration risks, and generate a prioritized roadmap. After migration, get continuous AI insights for optimization, resource planning, and performance tuning.