Services
Four practices, one engineering team.
Cloud, security, software, and data & AI work, each delivered by the engineers who scope it and stay on the engagement through delivery.
Cloud & DevOps
Cloud platforms designed, migrated, and automated so that releases are routine and every environment can be rebuilt from code.
Tools and platforms
- AWS
- Azure
- Google Cloud
- Kubernetes
- Terraform
- GitHub Actions
- Argo CD
- Prometheus
What we deliver
- Landing zone, account structure, and network design
- Workload migration to AWS, Azure, or Google Cloud
- Infrastructure as code with Terraform, reviewed like application code
- CI/CD pipelines with automated tests, approvals, and rollbacks
- Kubernetes platform setup, observability, and cost tuning
Security & Compliance
Security controls engineered into your systems and mapped to the frameworks your customers and regulators ask about.
Tools and platforms
- Okta
- AWS GovCloud
- Splunk
Frameworks we work to
- FedRAMP
- SOC 2
- NIST 800-53
- FIPS 140-3
What we deliver
- Gap assessments against FedRAMP, SOC 2, or NIST 800-53 controls
- Zero-trust access design and identity hardening
- Cryptography configured to FIPS 140-3 validated modules
- Centralized logging, alerting, and audit evidence collection
- Control documentation and a prioritized remediation roadmap
Software Development
Web applications, APIs, and internal tools, built so your own team can maintain them long after launch.
Tools and platforms
- React
- TypeScript
- Node.js
- Python
- Go
- PostgreSQL
- Redis
- Docker
What we deliver
- Product scoping, API design, and technical architecture
- Web applications in React and TypeScript
- Backend services in Node.js, Python, or Go
- Database design, migrations, and query performance work
- Automated test suites and a code review process your team keeps
Data & AI
Data platforms and pipelines you can trust, and practical AI features built on top of them.
Tools and platforms
- Snowflake
- Databricks
- dbt
- Apache Airflow
- Python
What we deliver
- Data warehouse and lakehouse design
- ELT pipelines and data modeling with dbt
- Reporting and dashboards tied to defined metrics
- LLM integration and retrieval-augmented generation (RAG) pipelines
- Model evaluation, monitoring, and guardrails
Not sure which practice your project needs?
Send a short note about the system, the timeline, and what is in the way. We will reply with next steps.
