We believe the hardest problems in hardware are not geometric. They are contextual.

The industry has spent decades optimizing how engineers draw and simulate, but almost no effort on how teams preserve reasoning. As a result, every major hardware organization quietly re-pays the same tax: rediscovering decisions they already made.

This problem is getting worse. Products are more interconnected. Regulations are stricter. Iteration cycles are faster. Teams are global. Yet workflows still assume documentation happens later, if at all.

We do not believe this can be solved by asking engineers to write more text, fill more forms, or explain themselves to an agent after the fact.

We also do not believe “text-to-CAD” or generic engineering agents meaningfully help professional engineers today. High-stakes engineering work is not promptable. It requires context, judgment, and accountability.

Our point of view is different.

The most valuable engineering data is already being created — in every design session, review, change, and discussion. The opportunity is to capture that signal automatically, structure it, and let it compound.

Tandem is built to sit inside real workflows, observe real work, and turn raw activity into durable engineering knowledge. Over time, this creates a dataset grounded in real decisions, real constraints, and real consequences.

That dataset is the moat.