Four practices.
One senior team.
Every engagement is led by the principal. No handoff chains, no junior handoffs.
Superintelligence systems
Production-grade AI, not demos. We design systems that survive contact with real users, real data, and real compliance requirements.
- Retrieval-augmented generation over your documents and data
- LLM integration with evaluation frameworks and guardrails
- Multi-turn, multi-agent workflows
- Intelligent document processing on Amazon Bedrock
- Designs that respect PHI and HIPAA requirements
AWS cloud infrastructure
A decade of AWS, applied to your environment. Architecture decisions from someone who has operated what they designed.
- Cloud architecture and well-architected reviews
- Migration from on-prem to AWS, including GovCloud
- Infrastructure as code with Terraform and CloudFormation
- Cost optimization and performance tuning
Data engineering
The foundation AI systems stand on. If the data is wrong, the model is decoration.
- Data pipelines and ETL
- Vector search and embeddings infrastructure
- Analytics dashboards and reporting
- Data governance for AI readiness
DevSecOps and automation
Ship faster without breaking things. Automation where it pays, rigor where it matters.
- CI/CD pipelines
- Business process and workflow automation
- Secure delivery practices
- Systems integration across your stack
Ways to engage
Project delivery
Fixed scope, end to end
Architecture through production handoff, documented so your team can operate it.
Team augmentation
Senior engineering, embedded
The principal working inside your team on migrations, platform builds, and AI initiatives.
Advisory
Reviews and roadmaps
Architecture reviews, AI readiness assessments, and modernization roadmaps.