Two series, two issues per week. Engineering Pulse covers real programs and failures. The Academy breaks down the fundamentals behind them.
Documentary-quality breakdowns of the most consequential engineering decisions in motorsport and aerospace. The McLaren MP4/1 monocoque. The Boeing 787 program. The engineering story, not the headline.
Engineering fundamentals taught through the machines that make them matter. GD&T, FEA, FMEA, materials, fatigue — every concept with real numbers, real standards, real application.
Two issues per week, one per series. Lead story, under-the-hood detail, an anonymized situation from the bench, and a spec of the week.
Jarvis is Malaret Engineering's in-house AI operations system, built to run locally rather than through a web browser. It is a self-contained software architecture designed to evolve alongside AI capability itself — not a fixed tool tied to a single model or platform.
Unlike browser-based AI assistants, Jarvis operates directly on local infrastructure. Proprietary engineering data, client information, and business operations never have to leave a controlled environment to benefit from AI assistance.
How it can be tailored to other businesses: the underlying architecture is adaptable. Engineering and manufacturing firms with their own proprietary data, workflows, or compliance requirements can have a version of Jarvis built around their operations — from technical documentation review to project management to design-data organization.
Advantages over typical AI tools: