Your visibility infrastructure should not be locked to your hardware vendor.

We made that choice eleven years ago. We have never reversed it.

How the market is built

FPGA-based prototyping has converged toward integrated stacks: hardware platform, compiler, and
debug tools sold and designed to work together. In this model, the visibility layer is part of the platform. It
works on that platform. It does not work on others.
This is a deliberate architectural choice — not a technical constraint. It reflects a business model, not a
limitation of what is technically possible.

What this means in practice

If your team prototypes on a custom board, a visibility tool tied to a specific platform is simply not an
option.
If your team grows — more FPGAs, more engineers, more sites — your infrastructure needs to scale with
you, not with a vendor’s hardware roadmap.
If your company standardizes on one platform today and changes direction in three years, your debug
investment should survive that transition.

The choice Exostiv Labs made

Exostiv was built board-agnostic from the start — not as a positioning decision, but because our first
customers needed visibility on their own custom boards, on third-party FPGA platforms, on evaluation
hardware. The only way to serve them was to make the tool independent of the underlying hardware.
More than eleven years later, this remains the foundation of every product and architecture decision we make.

Exostiv works with all AMD devices, third-party FPGA platforms and custom boards. One software environment. One capture format. One waveform viewer.
Whatever board your team uses today — and whatever board you move to tomorrow.

What this gives your team

Your visibility layer scales with your design — from a single-engineer bench setup to a multi-FPGA lab
shared across sites and teams.
Your investment is not tied to a hardware vendor’s roadmap. Platform decisions and visibility infrastructure
decisions are independent.
Your engineers, wherever they are and whatever board they use, work in the same environment, with the
same captures, and the same workflows.