Four practices.
One delivery engine.
We lead with capabilities. Cloud, Data & AI, Products, and Platform — each backed by senior engineers and a delivery model built for enterprise.
Cloud at production scale.
We design, build, and operate cloud platforms that hold up under enterprise load — secure by default, observable end-to-end, ready for Day Two.
- AWS and GCP reference architectures aligned to your business domain
- Infrastructure-as-code (Terraform, Pulumi) with reusable modules
- Kubernetes platforms with service mesh, autoscaling, and policy controls
- Observability stacks (metrics, logs, traces) with actionable alerting
- CI/CD and DevOps practices that ship every day, not every quarter
- Cost optimization and FinOps governance
- AWS
- GCP
- Terraform
- Kubernetes
- Helm
- Datadog
- GitHub Actions
- ArgoCD
Engineering orgs that need to move from prototype to production, or from production to platform — without learning every cloud lesson the hard way.
Data foundations. AI that ships.
We build the full stack: clean data foundations, ML pipelines, and AI products users actually rely on. Retrieval, agents, fine-tuning — paired with the MLOps to keep them honest.
- Data platforms and warehouses (Snowflake, BigQuery, Databricks)
- Pipelines and transformation layers (dbt, Airflow, Dagster)
- LLM-powered applications, RAG systems, and AI agents
- Fine-tuning and evaluation on proprietary data
- ML model training, serving, and observability
- MLOps and AI governance: drift, evaluation, compliance
- Snowflake
- BigQuery
- dbt
- Databricks
- Python
- PyTorch
- LangChain
- OpenAI
- Anthropic
- MLflow
Companies that need their data and AI to work together — moving from dashboards and demos to systems that drive real business outcomes.
Products built to last.
We design and build digital products that scale with your business: thoughtful interfaces, well-shaped backends, and the rigor to keep both fast as they grow.
- Full-stack web applications (Next.js, React, Node)
- Native and cross-platform mobile (iOS, Android, React Native)
- Product engineering and API design
- Design systems and accessibility from the start
- Performance engineering — Core Web Vitals as a requirement, not an afterthought
- Internal tools that engineers actually want to use
- Next.js
- React
- TypeScript
- Node.js
- React Native
- PostgreSQL
- GraphQL
- tRPC
Product teams that need senior engineering velocity, or organizations modernizing legacy systems into products customers love.
Developer platforms. Modern cores.
We build the internal platforms that let your engineering org ship faster — and we rebuild the legacy cores that hold it back. Where developer experience meets enterprise modernization.
- Internal developer platforms (IDPs) and self-service infrastructure
- SRE practices, golden paths, and platform-as-product thinking
- Legacy and core modernization — monolith to services, mainframe migrations
- FinOps and cost governance for AI-era cloud workloads
- Deep observability: SLOs, error budgets, incident response
- GitOps, policy-as-code, and platform security baselines
- Backstage
- Kubernetes
- ArgoCD
- Crossplane
- OpenTelemetry
- Terraform
- Vault
- Cilium
Engineering orgs feeling the friction of legacy systems or scaling pain — ready to invest in developer velocity as a strategic advantage.
Three ways to work together.
Embedded teams
We integrate senior engineers directly into your existing team. They report to your lead, follow your processes, and ship inside your codebase.
Project delivery
We own scope, design, and execution end-to-end. You define the outcome; we deliver a working system on a fixed timeline.
Advisory & architecture
Strategic guidance from senior architects, paired with implementation oversight. Right when you need a force multiplier on technical decisions.