Insights
Engineering perspectives and case studies
Practical writing on the architecture and operation of data-intensive platforms, grounded in the systems we build and run.
Our first pieces are in the works
We’re preparing engineering write-ups and case studies. In the meantime, the topics below reflect where our perspective goes deepest. Ask us about any of them directly.
What we write about
Topics we go deep on
Agentic AI & copilots
Designing multi-agent systems, workflow orchestration, and enterprise copilots for production.
RAG & enterprise knowledge
Retrieval-augmented generation, vector search, and grounding AI in your own data.
Document intelligence
OCR, extraction, classification, and summarization that turn documents into structured data.
Cloud-native & platform engineering
AWS/Azure architectures, Kubernetes, DevOps, and cloud operations for AI workloads.
Responsible AI & governance
Security architecture, compliance controls, and governance for trustworthy AI.
Case studies
Engagement write-ups covering challenge, architecture, technology, and measured outcomes.
Case studies
Want the detail behind a specific engagement?
We can walk you through relevant work: challenge, architecture, technology, and measured outcomes, under NDA where needed.