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Beasley Labs
Governed AI agents that run inside your own AWS account
The control plane for building, deploying, and operating AI agents in regulated environments. Installs into your own AWS account — GovCloud or commercial — and stays partition-aware end to end.
I'm David Beasley, founder of Beasley Labs.
I spent 14+ years in Army intelligence and government-grade security and compliance. The whole time, I watched the most capable AI tools arrive — and watched the teams who'd benefit most get locked out of them. Not because they couldn't afford them, but because using them meant shipping sensitive data into someone else's cloud. The people guarding the most important data were the ones who couldn't touch the best tools. That gap stuck with me until I had to build for it.
"We'd love to use AI, but compliance said no." For a bank, a hospital, a defense team — that's not caution, it's the law. The blocker is almost never the model; it's the data leaving the boundary it's required to stay inside. So I flipped it: with RAI (Regulated Agent Infrastructure), the agents run inside your own AWS account. Your data never leaves your control, every agent action is governed and logged, and promotion to production is a deliberate, reviewable act — never a silent deploy. One stamp, one agent, one boundary.
Two big shifts. First, technically: I stopped thinking about "an AI app" and started thinking about infrastructure — the agent isn't the product, the governed boundary around it is. Second, in how I build: I'm solo, and I run the company on its own agents — built with AI, dogfooding the same governance I'm selling. That forced an honest test: if I won't trust an agent inside my own boundary, why would a regulated buyer? Living inside the constraint is what shaped the product.
It's early and I'm building in the open. If "compliance said no" is a sentence you've heard at work — what would you need to see to trust an agent with your regulated data? Genuinely here for the feedback.
About Beasley Labs on Product Hunt
“Governed AI agents that run inside your own AWS account”
Beasley Labs was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #147 on the daily leaderboard. The control plane for building, deploying, and operating AI agents in regulated environments. Installs into your own AWS account — GovCloud or commercial — and stays partition-aware end to end.
On the analytics side, Beasley Labs competes within Developer Tools, Artificial Intelligence and Security — topics that collectively have 991.2k followers on Product Hunt. The dashboard above tracks how Beasley Labs performed against the three products that launched closest to it on the same day.
Who hunted Beasley Labs?
Beasley Labs was hunted by David Beasley. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Beasley Labs including community comment highlights and product details, visit the product overview.
David Beasley