Turn organizational intelligence
into accountable action.
AMOS connects an organization's systems, data, people, and rules so Claude, GPT, Codex, or any approved AI can understand the whole, act within authority, build what is missing, and learn from every outcome.
One governed platform. Built for very different kinds of work.
AMOS has one product spine: connect context, define authority, act, prove, and learn. Choose the path that matches your organization, buyer, and outcome.
Run a connected business
Connect the systems that already work, have Claude or Codex build what is missing, automate the day-to-day, and keep approval and proof around every important change.
Deploy intelligence across the enterprise
Turn distributed context into accountable action across systems, teams, business units, and authority levels—without replacing the operating environment you already have.
Modernize the mission
Increase agency capacity, connect policy to execution, and let approved AI perform real work while public servants remain in authority and every consequential action stays provable.
Accelerate research and life sciences
Unify scientific data, tools, and evidence; coordinate work across silos; and run governed learning loops that help research compound instead of disappearing into disconnected systems.
Build once, resell to your network
Build a vertical app on AMOS via your AI, then resell it white-label and multi-tenant to your own network. One builder can bring hundreds of downstream businesses.
From app sprawl to one governed company brain.
Through AMOS, see how Claude or Codex can connect the systems your company uses, work across the business, wait when approval matters, and automate what comes next.
Don’t take our word for it. Run Northwind Labs.
Step into a sample SaaS company loaded with customer, financial, and document data. Ask what’s happening, propose a change, approve it, and inspect the proof receipt — all in your browser.
Ask the question every owner actually has.
“Where are we losing money?” The operator reads across Northwind’s records, finances, and documents, then answers in plain language. Ask it to change something and the governance layer becomes visible.
Open the playground →Read across the company, not one disconnected app.
A proposed change parks until you approve or deny it.
The action and decision land in a plain-language receipt ledger.
The best AI tools are here. AMOS gives them a business environment to work in.
Claude, Codex, GPT, and the frontier models are extraordinary at reasoning, writing, coding, and planning. AMOS gives that intelligence the business context, tools, and memory it needs to move from insight into action.
Your business lives in one governed company brain the AI can operate — with your apps, data, rules, approvals, and history in place. Ask, and it does the work — the important changes wait for you, and every action leaves a record.
Connect what you use. Create what you need.
A company brain is only as good as the data in it. AMOS gives Claude, Codex, GPT, or any MCP client governed primitives to connect the applications where your company’s truth lives, turn that data into shared business context, and build and operate across it.
Bring in the systems you already use
Use AMOS’s governed connection primitives to connect CRM, finance and ERP, documents, databases, marketing tools, internal apps, and APIs. If your business can access it, your AI can connect it through AMOS.
Build one company-wide context
AMOS keeps each company’s data separated and preserves where it came from, so the AI can reason across the business instead of one app at a time.
Build the software you actually need
Use Claude or Codex over MCP to build a CRM, mailing workflow, client portal, or internal app around the way your company really works.
Operate across old and new
Automate across connected systems and bespoke apps together—with policy, approval, receipts, and company memory built in.
Stop adapting your company to generic software.
Describe the workflow you wish existed, then have Claude or Codex build it through AMOS MCP. Replace the spreadsheet, rigid CRM process, mailing workflow, or internal tool one piece at a time—without rebuilding the company context for every app.
The coding and deep work happen in the AI environment you already use.
The app inherits governed access to company context and a place to run.
Actions, approvals, outcomes, and receipts become durable organizational learning.
The connections, bespoke apps, history, automations, and proof stay in AMOS while you choose the best AI for each job.
Your whole company — one governed environment.
Once the systems are connected, apps, data, finance, marketing, and operations can be understood together and operated through one conversation.
Manage everything by asking
Marketing, finance, your apps, your data, the operations in between — you don’t click through ten tools, you describe what you want and the AI does it in your environment.
Your business brain stays portable
Your context, data, and history live in AMOS — so Claude, Codex, GPT, or the next best model can all work from the same business memory. The ecosystem, and everything it knows, stays yours.
AI you can actually let act
Your AI can only use what you allow. Every action is recorded in plain language, and the things that matter wait for your okay before they become real. Control is the point.
Your AI can’t touch what you didn’t allow—and everything is recorded.
Routine work can flow automatically. Changes involving money, customers, production, or policy can stop and wait for you. Every action leaves a plain-language receipt you can inspect, share, and learn from.
Tell it what you want
Use plain language from Claude, GPT, Codex, or the AMOS dashboard.
AMOS checks the boundaries
Is it allowed? Is it within budget? Does it need you? Sensitive work waits.
You see what happened
What changed, why, and who approved it—written in plain language.
Then it goes live
Only the allowed or approved action runs. The receipt stays with the company.
Every action leaves proof. Every proof makes the next action better.
AMOS turns its proof trail into a learning engine. Each receipt captures intent, context, action, policy checks, approval or rejection, evidence, and outcome. As that history accumulates, the company learns which playbooks work, where people intervene, which rules need refinement, and where the system has earned more autonomy.
Real businesses, running on it today.
Live deployments are already producing the proof layer — governed changes, audit trails, reusable patterns — with the reseller channel taking shape behind them.
SmileWise
Treatment-planning software using AMOS as a governed build-and-operations environment, with proof on every change.
Nuvola Academy
Compliance-training platform for public-safety agencies. Provable completion and audit trails are the product — and now its marketing and finance run here too.
Construction CRM
In build with our launch partner — an independent firm reselling AMOS, with a channel of hundreds of similar builders behind them.
Start self-serve. Scale into an enterprise deployment.
Small and growing companies can begin with the company brain and add capabilities as they need them. Enterprises start with a scoped outcome and build the governance, integration, and operating model around the organization.
Start with the company brain from $99/mo.
Connect the AI you already use, run real work with approval and proof, then add the engines your company needs.
Governed MCP, company memory, finance, proof, apps, and automations.
Campaigns, landing pages, audiences, automation, and CRM.
Purpose-built capabilities created with domain partners.
Price the deployment around the outcome.
Begin with one high-value workflow or decision loop. Prove the result, establish the control model, and expand across teams and systems.
Bring your own Claude, Codex, GPT, or other model key with no markup—or scope a managed model option with us.
Run the sample company. Then bring your own.
Two minutes in Northwind shows the whole loop: company context, AI reasoning, human approval, and proof. No signup required.