Build exceptional products faster with AI capabilities designed around your engineering workflows.
Your engineering challenges demand AI that understands the physical world. Partner with CoreWeave Field Engineers to apply AI directly to your workflows and solve the engineering challenges holding your team back.
Use the data you already have to predict outcomes earlier, cut extra iterations out of the loop, and get exceptional products to your customer faster.
Surface crucial faults buried in complex signals while they're still cheap to fix, and flag the true anomalies worth investigating instead of dismissing them as noise.
Get AI capabilities designed around the way your engineers already work, so your team can use them directly to streamline and improve workflows.
Every Physical AI Field Engineering engagement runs on CoreWeave's integrated AI solution, purpose-built to address domain-specific engineering challenges. Track experiments, manage models, and explore data in one place, alongside algorithms built for test reduction, anomaly detection, fault-correlation, system optimization, and agent-building. All in one guided experience.
Every engagement starts with a scoping workshop, on-site with your team: mapping your engineering workflows, digging into your biggest pain points, and aligning on priorities and a realistic timeline before any model gets built. From there, our Physical AI Field Engineers, who've solved challenging problems across more than 100 projects, don't hand over a report and step back. They prototype the solution end to end, alongside your team, and stay involved until it's running in production, not just running in a demo, across four areas:
Helping identify which problems are actually worth solving with AI, and which data is worth building on.
Helping stand up the GPU, storage, and simulation stack a specific use case needs. For full infrastructure design and scale beyond that, we connect you into CoreWeave's broader physical AI platform.
Turning scattered test, sensor, and production data into a model that predicts an outcome, catches an anomaly, or explains a failure, instead of leaving that signal buried and unused.
Turning what a model finds into something that changes the physical world: a system recalibrated to run better, a fault caught and corrected before it becomes a failure, or a robot executing a trained skill your team built and deployed.
Our Physical AI Field Engineers bring proven experience across strategy, infrastructure, data, and deployment, then start with your specific challenge by listening first.
Results from delivered engineering programs. Some customers were anonymized under NDA.
During a Grand Prix, Aston Martin Aramco Formula One™ Team can access every competitor's radio traffic, but no one can listen to 40 channels at once and still run a race. Working with CoreWeave engineers, the team built a tool that transcribes every channel in real time, tags what's being said by topic, and surfaces it fast enough to act before a pit window closes.
CoreWeave's field engineers have worked alongside Cadillac Hertz Team JOTA for a few years, building custom AI tools for their race-day workflows. During suspension testing on JOTA's seven-post rig, they built a tool that reads test data and recommends which setup to try next. In an early pass, several of its picks landed toward the stronger end of the field, a strong first signal as the team heads into further testing.
The reason this collaboration works is that we're experimenting together, not just being handed a tool. CoreWeave understands engineering as well as AI, so it never feels like we're explaining our sport to them."
Nissan’s engineering teams are using AI to replace expensive physical prototype runs, pairing existing historical test data with machine-learning predictions across the vehicle development cycle. A pilot cut physical tests by 17%, and cut total testing time throughout Nissan’s European operations.
The approach [from CoreWeave Physical AI Field Engineering] not only accelerates our time to market but also supports our commitment to innovation and sustainability. As we look to the future, AI will play an increasingly central role in how we design, test, and deliver the next generation of vehicles to our customers sooner.”
Go deeper with blogs, technical guides, and on-demand video.
Watch how CoreWeave Physical AI Field Engineering combines domain expertise and AI to build, validate, and deploy models using real engineering data.
Everything physical AI teams need: integrated toolchains, massive data handling, and engineers who understand AI and physics, in one place.
