AI whitepapers, in long form.
Our AI whitepapers are deeper write-ups of the patterns we use to ship production AI: LLM architecture, compliance and infrastructure cost, with every trade-off spelled out.
AI whitepapers worth the read.
Request a copy and we'll email it to you, with an optional short call to talk it through. Each guide draws on our LLM application development and cloud and MLOps work.
RAG, fine-tuning or prompt-only?
A decision framework for choosing a production LLM architecture, with the evaluation, cost and latency trade-offs of each option.
Request a copyComplianceAudit-ready AI from week one.
How we wire SOC 2, HIPAA and PCI DSS controls into sprint zero, so audit evidence is a byproduct of delivery rather than a project of its own.
Request a copyAI & cloud costSizing AI infrastructure to real load.
Cost guardrails in CI, cost per request and per user, and the patterns that keep inference and cloud spend proportional to growth.
Request a copyArchitectureMulti-tenant SaaS without the surprises.
Row-level security, tenant-aware queries and migration strategies for moving from single-tenant to multi-tenant with zero downtime.
Request a copyWant the short version?
Our AI engineering essays cover the same ground in a fraction of the time.