Nelfet.
capability · 04
Platform & Cloud
Nelfet builds cloud platforms designed for AI's full operational surface — infrastructure as code, least-privilege access, and observability deep enough to answer what failed and at what cost.
capabilities
What we build
01Cloud infrastructure as code: declarative, version-controlled, reproducible
02CI/CD with promotion gates, health checks, and immediate rollback
03IAM built on least-privilege: short-lived credentials and audit logging
04Structured logging, metrics, and distributed tracing correlated by request ID
05AI-specific infra: inference endpoints, job queues, caching, and cost tagging
outcomes
What you are left with
01Infrastructure fully recreatable from version control — no undocumented manual steps
02Production deploys that are automated, validated, and reversible
03Security built into platform architecture, not appended before an audit
04Alerts tuned to actual failure modes, with runbooks for on-call response
approach
Reliability and cost control are structural properties, not reactive goals. Everything runs as code. Least privilege is the default, not a hardening step. Observability is instrumented at the application layer so problems surface in dashboards before user complaints.
more capabilities
Explore the rest of the practice
01
Applied AI & GenAI
Nelfet builds AI and GenAI systems that reach production — agents with defined tool boundaries, RAG pipelines grounded in your data, and copilots wired into real workflows.
02Product Engineering
Nelfet builds web, mobile, and backend systems where quality is a structural property: typed interfaces, clear module boundaries, and test coverage that makes deploys predictable.
03Data & ML Engineering
The quality ceiling of any intelligent product is set by the data and engineering under it. Nelfet builds ingestion pipelines, feature stores, and evaluation frameworks as production-grade engineering.
05Product Design
Nelfet designs interfaces that make intelligent software legible — surfacing capability clearly, communicating uncertainty honestly, and giving users an accurate mental model of what the system can do.