Enterprise AI that never leaves your cloud
Simplifying AI runs on Amazon Bedrock inside your own AWS account, or fully in-house, on hardware you control. Put agents to work across your operation without handing your data to anyone.
One platform, cleanly splitinto three independent parts
Simplifying AI isn't a monolith. The software splits into three layers you can adopt, secure, and deploy independently, from the surfaces your team touches down to the infrastructure it runs on.
The agents
The surfaces where work happens: ChatPlotDB, Relay, and Charts. Your team and your customers talk to them in plain language, across Slack, the web, and WhatsApp.
The engine
The reasoning layer. Every answer is generated by foundation models running on Amazon Bedrock: state-of-the-art intelligence, with nothing sent to third-party model providers.
The infrastructure
Where it all runs. Your own AWS account and VPC by default, in the data region you choose, or fully in-house, on hardware you control.
Frontier models, none of them ours
We don’t train a model and we don’t ask you to trust one. Every call runs through Amazon Bedrock, in the AWS account and region you already chose, so the best model for a job is a setting, not a migration, and nothing is sent to a model provider you haven’t approved.
[ Availability follows your account and region ]
Anthropic
Sonnet 5 · Opus 4.8 · Sonnet 4.6 · Haiku 4.5
The default. Sonnet 5 gets near-Opus quality at Sonnet cost; Opus 4.8 takes the hardest multi-step reasoning; Sonnet 4.6 and Haiku 4.5 are the cheaper, faster end.
No badges.Just your cloud.
We're not SOC 2 certified, and we won't pretend a badge is a security model. Instead, every agent runs on Amazon Bedrock inside your own AWS environment, protected by the same controls that already secure the rest of your infrastructure.
Built on Amazon Bedrock
Every model call runs through Amazon Bedrock. Your prompts and data are never sent to third-party model providers, and never used to train foundation models.
Your data stays in your cloud
Agents run inside your own AWS account and VPC. Data is encrypted in transit and at rest, and never leaves your boundary.
AWS-native access control
IAM roles, VPC isolation, KMS-managed keys, and CloudTrail audit logs, all governed by the same policies you already trust for AWS.
In-house deployment
Need everything on your own hardware? We deploy the full stack on-premise, air-gapped from the public internet where required.
No training on your data
Your conversations, documents, and database contents are yours. Nothing is used to train shared or public models.
Human in control
Every agent action is logged, reviewable, and reversible, with human approval on the steps you decide should have it.
Enterprise FAQs
No, we are not SOC 2 certified, and we won't pretend a badge is a security model. We think the stronger guarantee is architectural: your agents run entirely on Amazon Bedrock, inside your own AWS environment, protected by the same controls that already secure the rest of your infrastructure.
If your procurement process requires specific attestations, talk to us: we'll walk you through exactly how the platform is deployed and where every piece of data lives.
It stays in your cloud. Agents run in your own AWS account and VPC, model calls go through Amazon Bedrock, and your data is encrypted in transit and at rest. Nothing is sent to third-party model providers, and nothing is used to train shared models.
Yes. Beyond running inside your AWS account, we can deploy the full stack on-premise, on hardware you control, air-gapped from the public internet where your requirements demand it.
Foundation models served through Amazon Bedrock. Because the engine is Bedrock-native, you get access to top-performing models running in your chosen region, with no dependency on any single external model API.
Through the AWS primitives your team already governs: IAM roles, VPC isolation, KMS-managed encryption keys, and CloudTrail audit logs. Every agent action is logged and reversible, with human-in-the-loop approval on the steps you choose.
