Stratiflux Academy

We grow our own verified talent

An AI-native engineering firm that grows its own verified talent: companies pay for delivery, training, and hires, so the people we train pay nothing but the work.

Selection, not tuition

Seats are free or near-free for selected talent. Selection is the gate, not money. We make our money from companies, delivery, training, and hires, not from students.

Two tracks

AI-Native Platform Engineering

Build, ship, and operate production infrastructure with an AI agent in the loop, and run the AI workloads the displacement wave creates.

  • Provision and operate cloud infrastructure as code, zero manual steps
  • Run services on Kubernetes with health checks, limits, and probes
  • Instrument systems with metrics, logs, traces, alerts, and SLOs
  • Deploy and cost-control LLM serving and RAG infrastructure
  • Build governed ops agents with human-approval gates
View syllabus

AI-Native Data Engineering

Model, move, and serve data with an AI agent in the loop, and build the data substrate AI systems run on.

  • Model and load messy real-world data so assertion queries pass
  • Build scheduled ELT pipelines with dbt tests green on an independent run
  • Design cost-budgeted warehouse / lakehouse storage
  • Enforce data quality with contracts and gates
  • Build embedding and retrieval pipelines with measured quality
View syllabus

For companies

Hire graduates whose work is machine-verified, not claimed, or have us train your own engineers to run AI in production. Either way, you pay for outcomes.