AI that
designs hardware.

The problem

Hardware is still
designed by hand.

Software has compilers, package managers, version control, and now models that write code. Hardware has almost none of that. Schematics are drawn part by part, boards are routed trace by trace, enclosures are modeled surface by surface — skilled work, done slowly, in tools that have barely changed in twenty years.

Avenstride was founded to change how that work gets done. We train models that do hardware engineering themselves — not autocomplete inside a CAD tool, but systems that take a design from a written specification to files a factory can build. We build products around those models. The first, Conductor, is in early access now.

What we build.

AI systems that take hardware from specification to manufacturable design. Four capabilities, trained together and tested end to end.

Spec  /  Design  /  Verify  /  Ship
01

Schematic & layout

Models that produce circuit architecture, component placement, and routing from a written specification. Trained on real designs and held to real design rules — every net checked, every footprint verified.

02

Mechanical design

Enclosures and mechanical parts generated together with the electronics they house. Wall thickness, fastening, tolerance, and assembly order are part of the design problem, not an afterthought.

03

Verification & test

Every generated design is checked against its requirements on real hardware — repeatable fixtures, measured procedures, recorded results. If it hasn't been measured, it doesn't ship.

04

Manufacturing output

Designs resolve to complete fabrication files — layout data, BOMs, drawings, assembly instructions — that a factory can build from without a phone call.

From the bench.

Prototypes and experiments from our own research. What's on the bench changes week to week.


REV 07 — IN TEST
Entry 014 — Jun 2026

Layout engine test article

A deliberately difficult board — mixed-signal, tight clearances, an unforgiving connector — used to evaluate schematic-to-layout runs. Each revision is scored on rule violations, route completion, and how much an engineer has to correct afterward.

REV 05 — ACTIVE
Entry 011 — May 2026

Enclosure revisions 01–05

Five prints of the same enclosure, each generated from the previous round's fit notes. Wall thickness, draft angles, and boss placement are model decisions, checked against the drawing with calipers.

REV 01 — CHARACTERIZING
Entry 009 — Apr 2026

First board bring-up

The first fully model-designed board to reach the bench. Power sequencing and clocks came up on the first pass; two signal-integrity faults did not, and both are now training data.

The Lab — Est. 2024

Avenstride is an AI research lab. We train models that do real engineering work, and we build products around them. Everything we make is tested on hardware.

Florida — Est. 2024

Build something real.

Talk to the lab