ESI Training Partners.

We train and evaluate our engineering foundation models with a select number of engineering organizations, working on problems shaped by physical constraints and measured outcomes.

To design and build complex machines and physical systems, a model needs more than descriptions of engineering. It needs to connect decisions with consequences: what was simulated, what was built, what happened in testing, and why a design changed. Our training partnerships bring that context into the work, so models can be evaluated against the constraints and outcomes that matter.

So we work with a small number of strategic sandbox partners across Formula 1, hypersonics, aerospace and defense, fusion energy, automotive, and robotics. Inside each sandbox, ESI is trained, evaluated, and deployed against the partner's own engineering problems, under the partner's own constraints and timelines.

• Early access to systems trained in their environment, before general availability.
• A dedicated engineering team from Apex Ultra embedded with theirs.
• A direct line into how ESI develops, and influence over what it learns to do first.
• Exclusivity within their competitive category for the term of the partnership, where agreed.

Every partner deployment is isolated. A partner's data, designs, and intent are never pooled with another partner's, never used to train a model that another partner can access, and never leave the partner's sovereign boundary without their instruction. Every decision the system makes is traceable. Compartmentalization is a structural property of how ESI is built, not a policy layered on top of it.

• Organizations operating at the extremes of an engineering discipline, where the cost of being wrong is high, and the iteration loop is fast.
• Teams with proprietary test, simulation, or manufacturing data and the will to put it to work.
• Leadership prepared to run a real pilot with real problems, and to iterate with us rapidly.
• Programs with a sense of urgency and mission-driven outcomes.

An introductory conversation, a scoping exercise for one live problem, followed by a continuous learning and improvement program. Partnerships are few by design; we take on new sandboxes only when we can staff them properly, and the learning program helps turn another rung towards ESI.