Alpha access opens on October 22, 2026.
You can ask today. We write back before access starts.
Founded out of Mila, Montreal. Two PhDs, two prior deeptech startups.
Your board stays on our machines. No outside model ever sees the schematic, the layout or the BOM, and nothing you send us is used to train one.
In hardware, fast and right have always been a trade-off.
We built the AI that ends it.
The board comes back from fab, you power it up, and nothing. A pull-up you never placed. TX and RX swapped. A rule checker catches most of those. What it does not catch is the part that passes every check and still fails: inside its limits at 25 °C on your bench, outside them at 85 °C in the field. ambrflow reads your schematic before you order copper and tells you which part that is.
20 places in the alpha.
Bring a board that is still moving. A design in revision, not one you have already signed off. We work it with you, on your constraints.
A design you are actually shipping, not a sample
You talk to the two of us, not to a queue
Your constraints set the order of what we build next
Your board stays on our machines. No outside model, no training
A design still in revision, where being wrong early is cheap
Time with the people who own the board, not only the budget
Blunt feedback, especially the unflattering kind
Where eighteen months goes
A simple design reaches a working product in about eighteen months. Only the first two are spent designing it.
Nine of the eighteen months are rebuilds. Not design, not qualification. The cost of finding out late.
Predict what fails before the first build, and the rebuild months have nothing to do.
How the prediction is made
ambrflow compares your design against parts and designs that have already been built and already broken. Not a rule checker.
Schematic, layout, BOM, and the constraints you actually care about. Temperature range, duty cycle, expected life.
We match your parts and topologies against known designs, part histories and test results. What failed, under what conditions, and why.
A ranked list of what will fail. Which part, which net, which design choice, and the conditions that trigger it. Every prediction carries its evidence.
An engineer accepts or rejects each one. Both are recorded, so the design carries its own justification into design review and certification.
What lands on your desk
A prediction an engineer cannot check is a prediction they will ignore.
Ordered by how likely it is to bite you and how expensive it is to fix later. Not alphabetically by reference designator.
A part that clears the spec the original broke and keeps the same footprint, searched against distributor catalogues. A flag with no next step is just more work.
The prior designs and test results the prediction came from. You can disagree with it, which is the point.
Every accepted and rejected prediction, kept. When a reviewer asks why the regulator was changed in week three, the answer exists.
Two PhDs, and a system still running at the South Pole
Two prior deeptech startups. At the last one we led a cross-functional engineering team and built the lowest-power AI chip on a circuit board. We watched how much slower hardware moves than software. That is what ambrflow is for.
A serial founder, with three patents.
A system she designed is still collecting data at the South Pole.
A MILA STARTUP, MONTREAL · NVIDIA INCEPTION MEMBER
Tell us what keeps breaking.
Send the design, the temperature range, and the date you promised. We will tell you what we would look at first.
Or put our engineers on your board
While the platform is in early access, we take hardware on directly. The same method, applied to your device.
One device, one deadline. We specify it, predict against it, and build it with you.
We stand up your hardware practice and stay through the first shipping revision.
We take an in-flight design and tell you where it will fail, while it is still cheap to hear.
Wearables and BLE · Robotics and motion · RF and telecom · Sensors and instrumentation