DevOps

DevOps

Pipelines built for AI-driven products

Instead of manual deployments and fragile release processes, we help teams ship faster with automated, observable infrastructure.

CI/CD Pipelines

CI/CD Pipelines

Automated build, test and deploy pipelines that catch issues before they reach production.

GitHub ActionsGitLab CIJenkinsArgoCDBlue-Green Deploy
Kubernetes and Cloud

Kubernetes & Cloud Infrastructure

Container orchestration and cloud architecture designed for scale, security and cost efficiency.

KubernetesAWSGCPAzureTerraform
MLOps

MLOps

Model versioning, experiment tracking and automated retraining pipelines for production AI systems.

MLflowKubeflowModel RegistryFeature StoresA/B Testing
Monitoring and Observability

Monitoring & Observability

Full-stack visibility into application health, model performance and infrastructure metrics.

PrometheusGrafanaDatadogELK StackAlerting
Infrastructure as Code

Infrastructure as Code

Reproducible, version-controlled infrastructure that eliminates configuration drift.

TerraformPulumiAnsibleHelm ChartsGitOps
Security and Compliance

Security & Compliance

DevSecOps practices integrated into the pipeline, not bolted on after launch.

SAST / DASTSecrets ManagementIAMSOC 2Container Scanning
100M+
End users impacted
60+
AI projects delivered
15
Countries served
40+
AI engineers

Built on modern cloud-native tooling

CI/CD
GitHub Actions GitLab CI ArgoCD Jenkins
Containers & Orchestration
Kubernetes Docker Helm Istio
Cloud Platforms
AWS GCP Azure Terraform
MLOps & Monitoring
Prometheus Grafana

From code to production

01

Assess

Audit current infrastructure, deployment processes and bottlenecks.

02

Design

Architect CI/CD pipelines, cloud topology and observability stack.

03

Automate

Build IaC, pipelines and deployment workflows with full test coverage.

04

Deploy

Roll out to production with zero-downtime strategies and rollback plans.

05

Operate

Monitor, alert and continuously optimize cost, performance and reliability.

Infrastructure engineering, not just tooling

DevOps Engineers, not Tool Installers

We design delivery systems that match how your team actually ships — not just install Kubernetes and leave.

AI-Aware Infrastructure

Pipelines and infra designed for ML workloads: GPU scheduling, model versioning and inference scaling.

Security by Default

DevSecOps integrated from the first pipeline commit — secrets, scanning and access control built in.

Cost-Conscious Operations

Right-sized infrastructure with autoscaling and cost monitoring, so cloud bills don't surprise you.

Platform Engineering CI/CD Modernization MLOps Setup

Outcomes, not just deliverables

Selected work from our case studies.

AI Fraud Detection for a Neobank Startup
Fintech · AI Services

AI Fraud Detection for a Neobank Startup

Lower
False declines
Graph
Scoring

Graph + behavioral fraud scoring that cut false declines while catching account-takeover rings for an early-stage neobank.

Read case study →
Big Data Analytics for Business Intelligence
Industrial · Data & BI

Big Data Analytics for Business Intelligence

3w→2d
Reporting
Live
Dashboards

Predictive dashboards that shortened a reporting cycle from 3 weeks to 2 days.

Read case study →

Ready to ship faster with confidence?

Whether you're modernizing legacy deployments or building MLOps from scratch, our engineers can help you automate the path from code to production.

Book a DevOps Discovery Call →