




Purpose-built apps for your industry, or build the ones you're missing. Start in the cloud and move to your own box when you're ready. Your data always stays yours.





Think of AI-in-a-Box as the iPhone, with a secure app store built for your industry. You find the app you need, or you build the one that’s missing. And all of this to boost your productivity.
We work with semiconductor vendors, standards bodies, and teams in regulated industries — the organizations whose documentation is too sensitive, too technical, or too regulated for generic AI.










Whether you're in a regulated industry, scaling a technical product, or running a team that handles sensitive data, these three failure modes show up the same way.
Public AI means sending your specs, your contracts, and your client files to someone else's servers.
They've never seen your datasheets, your catalog, or your standards. Ask something specific and the answer comes back confident and wrong.
A six-figure consulting project ships something brittle nine months later, or your team gets stuck maintaining pipelines instead of doing the job you hired them for.
Three ways in. One platform underneath.
Whether your team wants to use AI, build with it, or embed it, start where you are.

FOR EVERY TEAMReady-to-use AI apps for sales, legal, accounting and engineering. Add your data and branding, then share a portal.
FOR DOMAIN EXPERTSLike Lovable, but for enterprise AI apps. Describe what you need and Understand Studio ships a real app, hosted for you.
FOR DEVELOPERSFull control for developers: REST APIs and a visual workflow engine to assemble exactly what you need.

Start in the cloud, move to your own box, scale into your VPC. Same apps, no rebuild.
EXPLORE · SAAS
LAND · ON-PREM
EXPAND · VPC

Start here. Explore and prove value fast on our shared enterprise infrastructure.
Move to a sealed, air-gapped appliance running entirely on your premises.
Scale to thousands of users in your own AWS, Azure or GCP environment.

Deploy Understand Tech on AWS with our open-source Terraform templates.
Read the AWS tutorialFrom industry summits to intimate customer dinners, meeting the teams shaping the future of on-premise AI.





Pricing is determined by the infrastructure and deployment model you choose (SaaS, Private Cloud, or AI-in-a-Box) with predictable capacity for teams and workloads.
When running AI on your own hardware actually pays off, answered through the three questions enterprises keep asking: control, cost, and performance.
August 21, 2026Most teams are experimenting with AI in quality engineering. Very few trust it enough to make it part of the real work. The gap says a lot about how test case generation should be built.
August 20, 2026The full technical follow-up to a LinkedIn post 68,000 people read: architecture, stack, versions, costs, trade-offs, and the ROI calculator.
