Keep the work together
Bring the relevant files, instructions, tasks, and outputs into one project.
Amplio is a desktop app where AI does real work across your files and tools. It returns the presentation, document, or spreadsheet the job needs, with the model you choose.
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3 filesClaude FableReal work has sources, steps, calculations, decisions, reviews, and deliverables. Amplio keeps them together so the agent can move from your request to finished work without making you rebuild the context in every conversation.
Bring the relevant files, instructions, tasks, and outputs into one project.
Work with connected apps, the browser, local files, scripts, and specialist skills.
Create the presentation, document, spreadsheet, analysis, or external action the job needs.
Describe what you need in plain language. The app coordinates the context, tools, steps, and outputs while you review the decisions that matter.
Ask for the completed work in the language you already use.
Bring files, project context, connected apps, examples, and instructions.
See what the agent is doing, inspect sources, and guide important decisions.
Open the finished artifacts, continue the work, or make the process reusable.
Create and refine the formats your work already depends on.
Turn research, analysis, and recommendations into a structured deck ready for review.
Create briefs, reports, proposals, policies, and supporting narratives with sources attached.
Build models, calculations, reconciliations, trackers, and tables with auditable logic.
Update the CRM, file the tickets, draft the emails, and send the follow-ups. Every step approved by you.
Bring your own provider keys or connect a managed provider. Switch models per task without rebuilding how your team works.
Use supported models from Anthropic, OpenAI, Google, Moonshot, and others.
Work on your Mac with your local files and direct provider connections. Windows is coming soon.
Enterprise teams can choose their infrastructure and inference path.
Share the skills, plugins, connections, and instructions behind good work. Teammates can ask for the outcome in plain language and use the approved setup without rebuilding it themselves.
Package reusable capabilities for a person, team, or organization.
Give teammates the right tools and context without a setup guide.
Turn evidence, methodology, and calculations into recommendations, decks, and workbooks.
Example: a market study across 6 research files becomes an 18 slide recommendation with the workbook behind it.Move from brief and research to campaign assets, channel variants, and content calendars.
Example: one campaign brief becomes channel variants, a calendar, and the copy deck for review.Analyze, reconcile, explain exceptions, and produce controlled reporting outputs.
Example: 1,482 vendor lines reconciled, 9 exceptions explained, one reporting pack produced.Coordinate policies, people, documents, approvals, and repeatable operational work.
Example: a policy update becomes the revised document, the approval list, and the announcement.Review source material, apply approved guidance, flag decisions, and create review-ready documents.
Example: a 14,000 word agreement reviewed against your playbook, with the open decisions flagged for you.Every team follows the same path: describe the outcome, add what it needs, review the work, receive the result.
Give teams approved models, connections, skills, and reusable processes while you control identity, deployment, access, and the infrastructure behind them.
Turn trusted methods, templates, and controls into capabilities teams can run.
Manage members, teams, providers, models, and assigned capabilities from one place.
Use a managed rollout or deploy in your own environment with your inference path.
Our engineers sit with your team, learn how the work really runs, and turn one real workflow into a skill your team owns.
First workflow live in 2–4 weeksDesktop mode keeps files and task history on your machine and sends prompts directly to the model provider you choose. Self-hosted enterprise deployments keep the control plane and storage inside your environment.
Read about security and data handlingStart free with included models and your own keys. Pay only for the tokens you use. No subscription.
The full app. Use the included free models, or bring your own provider keys and pay providers directly.
Included free models · limited timeDownload for MacEvery popular model through one Amplio account. A fixed price per model, billed only for what you use.
Everything in Pay as you go, plus the controls your company requires.
Amplio is a desktop app for doing work with AI agents across your files, tools, and connected services. It helps you move from a request to finished artifacts and actions while choosing the models and infrastructure you use.
Those products give you one vendor's model inside that vendor's environment. Amplio is model-neutral: bring your own provider keys and switch between Anthropic, OpenAI, Google, Moonshot, and others per task. It also runs as a desktop app working directly on your local files, and teams can share the skills, plugins, and connections behind good work so a setup isn't rebuilt person by person.
A normal chat is often optimized for answers. Amplio is designed for work that also needs context, tools, multiple steps, review, and finished outputs such as presentations, documents, and spreadsheets.
No. Describe the result you need in plain language. Technical users can configure models and capabilities, while teammates can use approved setups without understanding how they were assembled.
The app supports models available through OpenCode, including providers such as Anthropic, OpenAI, Google, and Moonshot. You can bring your own provider keys or use an available managed option.
In desktop mode, files and local task history stay on your machine. Prompts and selected context are sent to the model provider you choose when a task requires inference. Connected services and optional hosted workers follow their respective data paths. See the Trust page for details.
Yes. Teams can share approved skills, plugins, connections, and configuration so people can start with the capabilities they need. Exact sharing and editing controls depend on the plan and deployment.
Yes, when the relevant built-in capability is enabled. The app can create and revise these artifacts as part of a task.
Yes. Download the individual app and use your preferred model provider. Team and enterprise capabilities follow the current pricing page and deployment terms.
Self-hosted enterprise deployment is available according to the current enterprise offering. Contact the team to discuss infrastructure, identity, inference, and rollout requirements.
Start locally for free, choose your model, and take a real task from request to result.
Windows coming soon · Bring your own key · No subscription