Enterprise AI operations

Private AI servers
for governed company work

Genie OS gives teams dedicated server infrastructure, durable company memory, reviewed agent workflows, and assistants that learn team preferences over time.

Private server per deploymentAdmin-managed knowledgeHuman-reviewed actions

Live Demo

Talk to Genie

Online
Hi! I am Genie. Ask me what I can help with.

5 demo messages remaining

Privateserver infrastructure
Governedcompany memory
Auditedagent operations

Deployment model

Move from team pilot to enterprise rollout without changing the operating boundary.

Genie OS separates public signup, control-plane provisioning, and workload execution so enterprise teams can adopt AI operations without handing every system to one black box.

Platform capabilities

Company memory, retrieval, action, and administration in one server operating layer.

Genie OS turns approved business context into useful memory, then lets teams ask questions and coordinate work through agents they can inspect and control.

Enterprise data normalization pipeline transforming business inputs into standardized records

Governed knowledge ingestion

Normalize documents, messages, meetings, contacts, projects, and external source data into retrievable business memory.

FilesInboxCRM

Executive retrieval

Answer operational questions with source-backed context so leaders and teams can move without manual app-hopping.

AnswersBriefsSearch

Action workflows

Draft emails, update schedules, prepare records, and coordinate follow-ups with review controls before sensitive changes land.

EmailCalendarTasks

Admin visibility

Track servers, subscriptions, provisioning state, snapshots, and access paths from the product and control-plane boundary.

ServersSnapshotsAudit
Docs and wikisCustomer recordsMeetings and inboxesInternal tools
Genie OS server memory

Normalize approved business data for retrieval, reasoning, workflow drafting, and controlled execution.

Board briefsSales follow-upsSupport actionsOps workflows

Operating loop

Agent work becomes safer when memory, permissions, and execution live in explicit systems.

A useful enterprise assistant needs infrastructure ownership, source boundaries, and reviewable actions. Genie OS is built around that operating loop.

AI software layer connecting enterprise inputs to dashboards and action workflows
01

Provision private server capacity

Each deployment starts from dedicated server infrastructure, clear inventory ownership, and controlled bootstrap paths.

02

Attach approved business context

Connect only the sources a team authorizes, then structure that context into memory the server can retrieve and reason over.

03

Operate through reviewed agents

Teams use Claude Code or Codex to ask, inspect, draft, and execute workflows with human approval where it matters.

Controlled inputsApproved systems, files, messages, meetings, and records
Private server layerMemory, retrieval, reasoning, permissions, and review controls
Operational outputBriefs, drafts, records, schedules, and team workflows

Claude Code or Codex setup

Operate Genie OS servers through the agent environment your team already trusts.

Use Codex and the genie-codex-onboarding skill for guided signup and server handoff, then use Claude Code or Codex for server chat, admin APIs, local app setup, and data-source onboarding.

01

Start from the guided onboarding skill

Use the genie-codex-onboarding flow to sign up, provision the server, and hand Codex the connection details.

02

Operate the workload repo directly

After provisioning, Claude Code or Codex works against the /genie repo on the server for chat, admin APIs, source setup, and local knowledge retrieval.

Paste into Codex for guided onboarding

Use $genie-codex-onboarding to sign me up for Genie OS and connect Codex to my server.

Enterprise control stays explicit.

Dedicated servers, selected data sources, review before sensitive actions, and admin visibility across provisioning.

Start pilot

Enterprise access

Tell us which team, systems, and workflows should go first.

Share the department, data sources, approval requirements, and operational workflow you want Genie OS to handle in the first deployment.