Privacy & Data Sovereignty
Renting your AI stack means your data, prompts, and institutional knowledge flow through someone else's infrastructure. Every meeting transcript, every internal query, every process you automate becomes part of a system you don't control.
Dry Ground AI runs its own sovereign AI stack internally and builds the same for clients. Not as a compliance checkbox. As a foundational operating decision.
How We Run
Every capability below describes how Dry Ground AI actually operates. The same architecture we run internally is what we deploy for clients.
No third-party notetaker sits in on client conversations. Every meeting is recorded, transcribed, and processed on infrastructure we control. Your conversations stay yours.
Client data never touches shared public endpoints. Every inference request runs on dedicated capacity we operate. No shared queues, no shared logs, no shared exposure.
We run ongoing performance benchmarks against production workloads and fine-tune our own models. Quality improves over time without sending your data outside our perimeter.
Continuous monitoring, hardened infrastructure, and a US-only footprint. Automated daily security checks, patch management, and incident alerting baked into how we operate.
Every workflow, every integration, every scheduled job runs on infrastructure we own and operate. No dependency on services that can change their terms, pricing, or data retention policies overnight.
The Problem
The default path for AI adoption is to pipe your data into shared cloud endpoints. That means your meeting notes, your customer conversations, your internal queries, and your process knowledge are all flowing through systems you don't operate, under terms of service that can change.
For most companies, this isn't obvious until something goes wrong: a data retention policy changes, a vendor gets acquired, a breach occurs, or a regulator asks where your data lives.
The Standard We Hold
We treat data sovereignty as a foundational decision, not an add-on. That means owning the compute, controlling the data flows, and operating the systems ourselves. It costs more to set up. It is worth it.
How We Deliver It For Clients
We don't ask you to rebuild everything. We start with an assessment of where sovereignty gaps actually exist, design an architecture that closes them, and deploy it in a way your team can operate and understand.
01
We map where your data flows today, which third-party services touch it, and where the sovereignty gaps are. Most companies are surprised how many systems hold a copy of their institutional knowledge.
02
We design a sovereign architecture for your situation: private compute, controlled data flows, and AI capabilities that fit your existing operations without rebuilding everything at once.
03
We stand up private inference capacity, migrate data pipelines, and connect your workflows to infrastructure you control. Your team gets the same AI capabilities without the exposure.
04
We run the infrastructure, benchmark performance, and improve it continuously. You get a sovereign AI layer that gets better over time, not one that stagnates after launch.
Further reading from our research lab:
Get Started
A 45-minute conversation to map where your data flows today, where the exposure points are, and what a sovereign architecture would look like for your situation. No sales pitch. Just an honest assessment.
Book a ConsultationFree. 45 minutes. No obligation.
We use cookies to improve your experience. Cookie Policy · Privacy Policy