Cooper lowers the barrier to a clean board, so the engineers stuck in your layout queue can carry more of their own, your PCB team stops drowning in routine requests, and boards stop coming back wrong. It runs on the EDA tools you already use. Same headcount, more iterations.
The slip you had to explain
I hear a version of this story almost every week. Last month it went like this.
A hardware lead is in a status meeting, explaining again why a board is late. It wasn’t even a hard board. It sat three weeks behind his PCB design team while they cleared higher-priority work. Then it came back from fab wrong, and a full respin ate the rest of the schedule. The board was the easy part. The conversation upstairs was the cost, and he was the one who had to have it.
Ever been in that meeting?
If you run hardware, you have. Maybe you own the engineers waiting on a board, maybe the team buried laying them out, maybe both. So you know the three options. Hire more PCB designers. Buy more seats. Wait. None of them land before the deadline.
It’s the queue, not your team
Your designers aren’t the problem. There’s a finite number of them and a near-infinite line of work, and you can’t hire your way out fast enough. Routine requests pile up faster than anyone can clear them: the net-class fix, the quick two-layer board, the setup pass. The boards that need real expertise wait behind the ones that don’t.
And you are the one who rations it. You tell an engineer no, you can’t get layout help this sprint. Every one of those refusals is an experiment that never ran, a version of the product you decided not to try because the queue couldn’t take it. The fix isn’t more people. It’s less in the queue.
Lower the barrier to getting a board laid out
Cooper helps people who aren’t PCB designers get the design done. Your layout team doesn’t go anywhere. The engineers who used to wait in their queue can take more of their own boards to a clean route, and handle more of them. Fewer routine requests reach your specialists, so the ones you hired for the dense, high-speed boards get more time on the work that actually needs them.
An engineer runs it on a board. Here’s what happens:
- It reads the setup first. Cooper checks net classes, differential pairs, planes, clearances, and the stack-up, then hands back a plain summary of what’s wrong. In practice that’s where boards die, long before a trace is drawn: a net that never got marked as a differential pair, a plane filed as signal, a clearance tighter than anyone meant. Caught now, it costs minutes instead of a respin.
- It fixes in one pass. The engineer says what they want in plain language and approves the changes once. Fixes that depend on each other get applied together, so nothing conflicts.
- It routes when you say go, and it’s honest when it can’t. Cooper drives the DeepPCB engine to a clean route. When a board won’t close, it tells you which nets and why, not a tangle that looks finished.
It runs on the design files you already have, in the EDA tool you already use. Nothing to rip out.
And it’s built to get your team to a finished board fast, not to keep them in the tool. Every minute it runs costs us money, so our incentive lines up with yours: the answer, the finished board, the shortest path there. The faster your team ships, the better for both of us.
More shots on goal: where layout is what’s in your way
What matters to your roadmap is iteration. Your engineers keep telling you they need to test more to build more, and they’re right. You can’t invent what you can’t iterate on. Nobody is giving you more time, budget, or headcount to test with, so your iteration count is capped by your slowest step.
For a lot of teams that step is layout: early-stage boards, frequent respins, more designs than designers. When the wait for the queue drops from weeks to an afternoon, the same team runs more revisions per cycle: more experiments, more learning, more chances at the design that wins, on the budget you already have. (If your real limit is fab turnaround or parts, Cooper won’t touch that. This is for teams where the wait is the queue.)
You feel it on the team, too. The engineer who used to dread layout week is glad to see you on a Monday. Your designers stop drowning in trivia and get the hard boards back. That’s why your best people stay, and your best people are the hardest to replace. Do this and you’re the manager who got more out of the same team, the one who cleared the bottleneck everyone else only complained about.
All of this is worth nothing if you can’t trust what ships.
A control you can stand behind
What you’re really buying is a control you can point to. Every layout gets a review before it routes. Nothing ships that an engineer didn’t approve.
The fear is fair: hand AI to a junior engineer and the worst case is a bad board shipped faster. Cooper works the other way. It flags the problem, proposes the fix, and waits for the engineer to sign off. Ask it whether a board is ready and it gives you a straight verdict. It runs on InstaDeep’s engine: 96% mean completion, with 18,000+ engineers and 100,000+ boards behind it. When a board slips anyway, you have an answer: you put a review in front of every one.
You don’t have to take that on faith. On the STRF board, a public board anyone can download, Cooper caught two inner layers set as power planes with no net assigned at setup and routed it clean. The files are public. Check the work yourself.
See it for real, and on your design
Book a demo. First we show you how Cooper works and talk through the ROI for your team: the numbers, not the UI. Bring an engineer if you want one in the room, or don’t.
Then we do it on your designs, in a test you control, not a demo we rigged. Hand us the rev that came back wrong from fab, the one that cost you a respin, and watch whether Cooper catches what your team only found weeks later. Your boards, your call. Why would you trust us otherwise?
You already paid for that respin once. See if Cooper would have caught it, for the price of an afternoon.
Cooper and DeepPCB are how you break the layout bottleneck without new hires and without switching tools. More iterations, same budget, same stack.
