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GENSEEAI PRODUCT BLOG

Introducing GenseeAI — Your Private Cloud Computer for AI Agents

A dedicated, always-running cloud computer for your AI agents. No setup, no infrastructure, no maintenance. From an early experiment to a platform you can rely on.

April 16, 2026

Most AI tools today give you a chat window. You type, you get a response, and that's it. The conversation disappears. The context is gone. Nothing persists.

But real work doesn't happen in a single conversation. It happens over days and weeks — across files, tools, emails, calendars, and code. It requires an environment that's always there, always running, and always yours.

That's what GenseeAI is.


A dedicated cloud computer for AI agents

GenseeAI gives every user their own private cloud computer. Not a shared server. Not a temporary session. A dedicated, persistent instance with its own file system, web browser, terminal, and agent runtime — running 24/7, even when you close your laptop.

GenseeAI chat interface

Your agent lives on this computer. It can browse the web, manage files, write and execute code, send emails, read your calendar, and connect to the tools you already use. It doesn't forget what it was doing between sessions. It picks up where it left off.

Think of it less like a chatbot and more like a remote employee who happens to be an AI — one with its own workstation, its own workspace, and the ability to work while you sleep.


Start productive in minutes

GenseeAI comes with a library of ready-to-run use cases across research, productivity, marketing, HR, data analytics, and more. Instead of figuring out how to prompt an agent, you pick a use case, answer a few questions in a guided wizard, and the agent is configured and running.

GenseeAI use case wizard

Some examples of what users run on GenseeAI today:

Every use case is a starting point. You can customize the agent's behavior, change the model, add integrations, and evolve the workflow over time.


Your data stays in your instance

Privacy is not a feature we added — it's how the platform is built. Every user gets an isolated sandbox. Your files, conversations, credentials, and agent state live inside your instance and nowhere else.

GenseeAI file manager GenseeAI checkpoints and rollback

Connected to the tools you already use

An agent is only as useful as what it can reach. GenseeAI connects to the services you work with every day:

GenseeAI multi-channel setup

Connectors are configured through a simple settings panel. No API keys to paste, no JSON to edit, no config files to debug.


Powered by a frontier AI model

GenseeAI includes built-in access to Qwen 3.5-397B, a 397-billion-parameter frontier model, plus the #1 ranked AI web search engine — both included in every plan. Your agent can reason over complex tasks, search the web for up-to-date information, and produce high-quality output without you paying a separate model provider.

If you prefer a different model — GPT, Claude, Gemini, or any OpenAI-compatible endpoint — you can bring your own API key on any plan. There's no markup. Your calls go directly to the provider.

GenseeAI model selection

Zero operational headache

GenseeAI handles everything you would normally have to manage yourself if you self-hosted an AI agent:

All the control of self-hosting, without the maintenance.


Three plans, starting free

GenseeAI offers three plans designed to scale with how you use the platform:

All plans include checkpoints, rollback, file manager, browser, multi-channel access, and the full use case library. Bring your own API key on any plan for unlimited inference at no markup. New users receive a 7-day Premium+ free trial. See the full comparison at gensee.ai/pricing.


Now out of beta

Over the past few months, more than 4,000 users joined the GenseeAI beta. They ran research reports, built websites, monitored product prices, created Chrome extensions, automated email outreach, and used the platform in ways we never anticipated. Their feedback shaped every part of what GenseeAI is today — the use case library, the checkpoint system, the crash recovery, the channel integrations, and the pricing model. Today we are officially out of beta, with a more stable runtime, a production-ready infrastructure, and subscription plans. Everything users built during beta — instances, files, configurations, save points — carries over.


Pick a use case. Run your first agent in minutes.

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