Your inference provider is also your competitor. The frontier labs train on consumer data, then build the agents that come for your market. There's a third way: managed OpenClaw in your AWS account, on Bedrock, behind a firewall the labs can't reach. Your cloud, your models, zero ops.
Book a 15-minute demo See a live deploy into your own AWS account. No sales script, just the product.Your team has already played with OpenClaw. They showed the CEO. Everyone wants agents running on Slack, triaging support, drafting the morning brief.
Grok, ChatGPT Enterprise, Gemini. Five-minute setup, polished UI. The cost: your data lives on their servers. Legal won't sign off. The auditor asks where customer data goes. The honest answer is "we don't fully know."
Your cloud, your rules. Sovereignty solved. The cost: one engineer got it running on a VPS. Then they left. Now nobody knows openclaw.json, secrets are hardcoded somewhere, and CVEs go unpatched at 2am.
Managed OpenClaw, deployed into your VPC. The polished SaaS experience: 10-minute deploy, auto-upgrades, a web dashboard. With none of the tradeoff. Your data never leaves your cloud. Bedrock by default. SOC 2-ready by design — your audit answers itself.
No terminal gymnastics. No JSON config. Paste this prompt into Cursor (or Claude Code, or any AI coding agent). It asks you four questions, builds everything, and shows you the plan before it touches your AWS account.
Region, monthly budget cap, which channel, new or existing VPC. That's the entire setup, captured in one conversation.
Before anything runs, the agent shows you exactly what it will create, every IAM role and permission, in plain English. Nothing touches your AWS account until you say yes.
It builds the private network, the server, the cost kill-switch, and OpenClaw on Bedrock. Then it walks you through connecting Slack. Done.
Anthropic, OpenAI, and Google aren't just selling you models. They're building the agents that will compete with yours. Every prompt you send them is free R&D for the thing that eats your lunch.
Consumer plans train on you. The tools everyone pastes their docs into feed the next model. Your secret sauce becomes their training set.
Even API plans see your prompts. A direct Anthropic key means Anthropic reads every request, even if they promise not to train. The model provider sits inside your data path.
Bedrock sits in the middle. AWS is infrastructure, not an agent vendor. And the firewall is contractual, in writing.
“Amazon Bedrock doesn't store customer input data and model output data, share the data with third-party model providers, or use the data to train models.” AWS re:Post, on Bedrock data handling
No storage. No sharing with the model provider. No training on your data.
Because you run on AWS, your SOC 2 audit mostly answers itself. Compliance tools like Vanta connect directly to your AWS account and auto-pull the evidence: IAM, encryption, logging, change history.
AWS + Vanta: connect once, evidence pulls automatically. Audit prep goes from weeks to an afternoon.
Hetzner or a bare VPS: nothing is automated. Every control becomes a manual document, screenshot by screenshot, every audit cycle.
| SaaS bots | Self-hosted | Sovereign AI | |
|---|---|---|---|
| Data stays in your AWS account | ✗ | ✓ | ✓ |
| Polished SaaS experience | ✓ | ✗ | ✓ |
| No DevOps burden | ✓ | ✗ | ✓ |
| SOC 2 ready | ~ depends | ✗ | ✓ |
| Bedrock / private models | ✗ | ✓ | ✓ |
| Auto-upgrades & security patches | ✓ | ✗ | ✓ |
Starting price. You pay your AWS costs (Bedrock, EC2) directly. No markup.
Scaling, security patches, updates, monitoring dashboard + alerts.
No. We deploy into your AWS account via IAM roles you control and can revoke at any moment. Your data, conversations, and models never touch our infrastructure.
You can. But then you're the sysadmin forever: tuning configs, rotating secrets, scaling, patching CVEs. We break that tradeoff: you keep sovereignty and lose the ops burden.
10–15 minutes from terraform apply to the first Slack message. We run a deployment call with every new customer to validate it end-to-end.
AWS + Bedrock is our default. We also support GCP (Vertex AI), Azure OpenAI, and on-prem Ollama. Pick your cloud, pick your model, keep your data.