Your data can't leave the building
of companies surveyed rate data sovereignty as very important.





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.





What we do
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.
of companies surveyed rate data sovereignty as very important.
forecast rise in AI inference costs per agentic workflow through 2028.
of agentic AI projects predicted to be cancelled by the end of 2027.
Start with a ready-made app, build your own in Understand Studio, or work directly with our APIs. All three run on the same secure platform, in the cloud or on your premises.
One platform. Choose how you use it.
Ready-to-use AI apps for sales, legal, accounting and engineering. Add your data and branding, then share a portal.
AI-in-a-Box · Private cloud · Secure SaaS
Deployment options
Start in the cloud, move to your own box, scale into your VPC. Three ways to deploy, one identical platform, 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.
Same platform inside

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.
How do you use generative AI when your client files can never leave the building? CerFrance Maine-et-Loire, an accounting firm, found its answer in Understand Tech's AI-in-a-Box, an on-premise AI appliance powered by NVIDIA GB300. Today its legal team drafts company statutes in half the time, an AI agent processes 500,000 invoices a year, and the AI budget stays fixed. Not a single client file goes to the cloud.
October 1, 2026Employees paste company data into ChatGPT every day. What leaks, what the account tier changes, and how to run private AI on your own servers.
September 16, 2026When running AI on your own hardware actually pays off, answered through the three questions enterprises keep asking: control, cost, and performance.