Design reviews are 80% manual work, 20% creative engineering.
The right AI flips that.
Your most important decisions are made every day in design reviews. But today, those reviews rely too much on manual spreadsheet engineering. If you’re stuck in reviews thinking, “AI should be doing this.” You’re right. And it can.
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Let AI catch issues before testing starts
Most teams rely on memory, screenshots, and screen shares to catch problems during design reviews. But when you’re juggling deadlines and decisions, it’s easy for obvious issues to slip through—only to be found during validation or testing. CoLab’s AI reviews your design against past feedback and known risks, so you can catch more mistakes early and avoid costly late-stage rework.
Reuse lessons from past designs automatically
Teams want to learn from past programs. But lessons usually get buried in inboxes, spreadsheets, or someone’s head. That’s why the same issues get rediscovered again and again. CoLab surfaces relevant feedback from similar designs automatically, right in the review. So you can apply what your team already knows, without digging for it.
Skip the admin. AI tracks design issues for you
Every design review generates hundreds of issues. And tracking them still means jumping between PowerPoints, spreadsheets, and chat threads. Engineers waste hours documenting problems instead of solving them. With CoLab, every comment is pinned to CAD and logged automatically. So, nothing gets lost, and you always have a referenceable design history with the reasoning behind every decision.
Start every review with an AI first pass
Engineers want to focus on complex problems. But too often they’re stuck spotting buried fasteners, missing part numbers, or incorrect draft angles that show up review after review. Instead, CoLab’s AI runs the first check for you. It’ll suggest redlines based on your standard checklists and surface errors from past programs. So, your reviews no longer start from scratch.
5 reasons you think you’re not ready for AI (and why you should start anyway)
AI is not ready to do my job.
AI will eventually replace me.
We don’t have good data to train AI.
My team isn’t ready. We have too much on our plates as it is.
I can’t put my company data into this! It’ll be used to train other models.
Engineering teams who apply AI to future design reviews benefit from many short-term business gains. With CoLab + ReviewAI, engineering teams benefit from:
As your team continues to use and apply AI, you’ll also be feeding ReviewAI high-quality data from your team’s qualitative feedback. This feedback loop means you’ll benefit from exponential business results. Using a combination of AI case studies and proprietary CoLab data, we predict teams who use AI will:
Manual design review isn’t just slow. It’s holding your team back.
Manual review processes made sense… until teams doubled in size, timelines shrank, and engineering teams faced more scrutiny from company leadership. Now the best engineering teams are using AI to catch issues earlier, reuse lessons learned, and skip the tracking grunt work. The longer you wait, the more ground you give up.You don’t need a full AI strategy to get started. You just need a willingness to change. CoLab can handle the rest.
Trusted by Fortune 500s and innovators
"Being a web-based tool, there is no software distribution nor installation and very little training. It is VERY intuitive with easy-to-understand icons. We typically 'train' during one of our event kickoff sessions."
"But one of the best things about CoLab?All the time it saves by cutting out needless slideshow prep and manual admin work...CoLab helps make the onboarding process a breeze"
"In six months, I think the key success point was that we did a cost reduction redesign of our product enclosure. We realized we'd landed a 50% cost reduction on that, and our overall design cycle was half the time of prior design cycles. So something that used to take a full year, we got it done in six months."
"CoLab digitizes all of that. It creates that design environment on a single online platform, so it simplifies that product design journey - makes it much more interactive, collaborative and quicker turnaround times."
"We figured out that CoLab would basically resolve our issues and get us off the paperwork and the manual process, to something more digital. Not only would this satisfy our immediate needs, but also it would open up new opportunities for the organization."
"When it comes to sharing data and being able to transfer accurate files between the three different parties, it's really important for us to be able to make sure we're all working on the same piece of CAD, so that there's no ambiguity when it comes to what we're discussing."
AI-driven hardware engineering is 3 years away. Learn how to get started today.
With an AI consultation, you’ll talk with a CoLab product expert about:
- Your team’s product development challenges
- Where the gaps in your process are
- How AI can address those gaps
- How your team can get to value faster
Fill out the form to schedule a consult.