A real cloud computer behind it.
File system, shell, browser, and a suite of tools, so Mariete does actual business work instead of stopping at an answer.
Mariete in the Box
Private AI on your cloud. Outcomes as the product.
Private AI for SMB and mid-market organizations that runs on the cloud and models you already trust. Sold as outcomes, not seats or hardware.
Is there data in your business you would never paste into ChatGPT?
If yes, Mariete is built for the work your team cannot safely hand to a consumer AI tool.
Your policy decides where reasoning runs.
A per-customer routing layer points the Worker at the model and endpoint your policy approves and enforces the boundary.
Named capabilities in the tools you use.
Reusable workflows and MCP connectors turn the Worker into a business capability configured to your actual tools and data.
The strategic point is where it runs.
Not on our terms, on the customer’s. The same Mariete Worker can run in three deployment modes.
Your approved cloud + your LLM provider
Azure OpenAI, AWS Bedrock, Google Vertex, or a self-hosted open-weight endpoint, in your account, your region, under your existing agreements.
No new vendor is introduced into the data path.
Mariete managed cloud
The fastest way to activate Mariete for teams without their own AI cloud posture yet.
The same Worker, recipes, connectors, and outcome reporting.
Fully local / air-gapped
Open-weight models served on the customer’s own hardware for the strictest cases.
Same product; the customer picks the mode.
AI Outcome as a Service. A working, measured workflow.
Mariete sells outcomes, not software seats, consulting hours, or a per-token bill that scales with usage instead of value.
Overdue invoices are followed up automatically.
A named workflow with a baseline, a target, and a monthly measurement.
Every client intake is triaged and summarized.
The result is ready before the morning meeting, inside the team’s existing systems.
The work arrives as a usable deliverable.
Files, decisions, workflows, and reports, not software seats waiting to be configured.
The operating motion. Plan. Build. Deploy.
Every customer moves through the same three-stage motion. Customers can see exactly what happens and when.
Week 0
Plan
Blueprint intake, outcome selection, tier match, deployment mode, and sensitivity classification.
Week 1–2
Build
The environment is provisioned, the approved model endpoint is connected, recipes are configured, and the hard work is bench-tested.
Activation Day + continuous
Deploy
Connect live tools, validate the provider boundary, train the team, and begin monthly outcome reporting and stewardship.
Start with the outcome. Choose the operating depth.
The offering expands from a readiness plan to company-wide stewardship and fully local regulated deployments.
Mariete Blueprint
No costThe AI Readiness Score and personalized outcome plan. Ten minutes, no cost, national reach in both markets.
Mariete Pilot
From $1,200/moSingle-team scope, two to three outcomes live, deployed in the customer’s chosen mode, with a six-month minimum.
Mariete Outcomes
From $3,500/moCompany-wide scope, three to five outcomes live from Activation Day, monthly outcome reporting, quarterly reviews, and full stewardship.
Mariete Outcomes: Regulated
From $7,500/moFully local or air-gapped deployment, confidential-computing configurations, compliance artifacts, audit cooperation, and priority SLAs.
Outcome Packs & Custom Outcomes
By scopeAdd-on bundles by vertical and custom outcome engineering for workflows outside the recipe library.
Mariete in the Box
