DevOps & AI, engineered together
Two practices, one team. Explore what we deliver — and how it plugs into the systems you already run.
Infrastructure that ships without fear
We design, automate, and harden the systems your product runs on — so releases are routine, incidents are rare, and your team spends time building, not firefighting.
CI/CD & Release Automation
Pipeline design across GitHub Actions, GitLab CI, or Jenkins with automated testing, security scanning, and progressive rollout strategies.
Kubernetes & Containers
Cluster architecture, autoscaling, service mesh, and multi-tenant setups on EKS, GKE, AKS, or self-managed Kubernetes.
Infrastructure as Code
Version-controlled, reviewable infrastructure using Terraform, Pulumi, and Ansible — no more clicking through cloud consoles.
Observability & SRE
Metrics, logs, and tracing with Prometheus, Grafana, and OpenTelemetry — plus SLOs, error budgets, and on-call practices that don't burn teams out.
DevSecOps & Compliance
Shift-left security scanning, secrets management, least-privilege IAM, and audit-ready controls mapped to SOC 2 / ISO 27001.
Cloud Migration & Cost Optimization
Lift-and-shift or re-architecture across AWS, Azure, and GCP, with rightsizing and FinOps practices that typically cut spend by 25–40%.
AI systems built for production, not demos
We take AI from prototype to a reliable part of your product — grounded in your data, evaluated rigorously, and monitored like any other critical system.
LLM & Agentic Applications
Chat assistants, copilots, and autonomous agents built on Claude, GPT, and open models — with tool use, memory, and guardrails designed in.
Retrieval & Data Pipelines (RAG)
Document ingestion, chunking, embeddings, and vector search pipelines that keep AI answers grounded in your own knowledge base.
Predictive Models & Analytics
Custom ML models for forecasting, churn, fraud detection, and recommendation — trained, evaluated, and deployed as real services.
MLOps & Model Lifecycle
Training pipelines, versioning, evaluation harnesses, and monitoring for drift — so models stay accurate long after launch day.
Process Automation
AI-driven automation for support, operations, and internal tooling that removes repetitive manual work across your org.
AI Strategy & Enablement
Opportunity audits, build-vs-buy guidance, and hands-on training so your team can extend and maintain what we build.
Work with us the way that fits
Every engagement is scoped to your stage and budget — from a focused audit to a fully embedded team.
Advisory & Audit
A focused infrastructure or AI-readiness assessment with a prioritized action plan. Ideal for teams that need direction fast.
- 1–2 week engagement
- Architecture & cost review
- Written roadmap & risks
Project Delivery
We scope, build, and ship a defined outcome — a new pipeline, a migrated platform, or a production AI feature.
- Fixed scope & milestones
- Weekly demos & reporting
- Full documentation & handoff
Embedded Team
Ongoing DevOps or AI capacity that plugs directly into your team and roadmap on a monthly retainer.
- Monthly retainer, cancel anytime
- Direct Slack & standups
- Priority response SLA
Tell us what you're working with
A short call is usually enough to know whether it's a DevOps problem, an AI problem, or both.