Owner
Knows where the AI money goes.
Cost by model, by agent, by task. Which subscriptions earn their keep, and which don't.
For companies running more than one AI
Capability is solved.Coordination is not.
Your people can each run five agents today. Claude Code, Codex, Hermes: brilliant workers, all of them. But nobody can see what they are doing, approve what they produce, or tell you what they cost.
AI multiplied your workers. It did not multiply your managers.
Claude Code
Codex
Hermes
OpenCode
Cursor
Copilot
Kimi
Qwen
Grok
Claude Code
Codex
Hermes
OpenCode
Cursor
Copilot
Kimi
Qwen
Grok
Claude Code
Codex
Now they manage what they can't see.
Six questions you can't answer about your own AI.
Tick the ones your company can answer today, from one place, across every agent you run.
0 of 6.Tick the ones your company can answer today, from one place, across every agent you run.
What DeepCycle is
Plug in what you already have. Run it as one company.
No migration. No rebuild. Your machines, your AI and your knowledge stay exactly as they are. DeepCycle connects them, and your company finally runs as one.
- 01
Plug in your computers.
Your laptop, an office machine, a VPS: one command and it joins. DeepCycle finds the agents already installed on it (Claude Code, Codex, Hermes and many more). Your code and data stay on it.
LaptopOffice machineVPS
Claude Code
CodexHermes - 02
Plug in your AI subscriptions.
Sign in once with Claude, ChatGPT, Gemini, Kimi, Grok or GLM. Every agent and every member draws from them. Use the expensive model where it matters and a cheaper one, or an open one, where it doesn't.
ClaudeChatGPT
Gemini
KimiGrokGLM - 03
Plug in your company knowledge.
Notion, Confluence and Google Drive feed the Company Brain, so agents answer from your facts, not guesses. Every result lands in a Drive, versioned, and stays when people leave.
Notion
Confluence
Google Drive - 04
See what AI costs, and who uses it well.
Every token traced to the agent, the task and the model that spent it. Which subscriptions earn their keep, and which sit idle.
Coming The same view for people: who really uses the AI the company pays for, how agent work compares with human work, and who gets the most out of their agents.
AgentTaskModel - 05
Plug in the tools you already run on.
HubSpot, Salesforce, Zoho, Gmail, Slack, Jira, Zendesk, QuickBooks: 700+ apps connect, so agents and workflows work inside the tools your team already uses.
Don't have one yet? Switch on a built-in CRM, support inbox or website, with no per-seat bill.
HubSpotSalesforce
Zoho
GmailSlack
Jira
Zendesk
QuickBooks
Every plug comes with a lock. Each agent gets only the access you give it, keys stay in one place, and a person signs off where it matters.
Keep your agents.Keep your models.Add the management layer.
Everyone gets what they were missing.
Coordination means something different to each person in the company. DeepCycle gives each of them their piece.
Manager
Sees the work, approves what matters.
Every agent's task on the same board as the team. Nothing goes out without the sign-off it needs.
Team member
Gets agents, not another tool.
Hands work to an agent like to a colleague, from the board or the chat app they already use.
Engineer / IT
Keeps control of machines and keys.
Any agent, any model, on computers the company owns. Keys in one place, access set per agent.
Everything in DeepCycle
The full feature list
In the order our clients ask about them.
Computers: plug and play
Agents run where you decide. Your code and data stay there.
- Plug in any laptop, office machine or VPS with one command
- Or use a computer DeepCycle manages for you
- Agent tools found automatically: Claude Code, Codex, Hermes, OpenCode, Cursor, Copilot, Kimi, Qwen, Grok and 20+ more
- Each computer has an owner and an access list
- Lend a computer to another workspace
- Resize managed computers as work grows
- Safe restarts: running work finishes before an update
Any model, shared subscriptions, one cost view
Stop buying the same AI per person. Use the right model for each job.
- AI Gateway: every agent draws its models from one place
- Connect subscriptions: Claude, ChatGPT/Codex, Gemini, Kimi, Grok, GLM, Meta
- Shared across the whole workspace, every agent, every member
- Several accounts per provider, with automatic rotation between them
- Bring any OpenAI-compatible endpoint, including self-hosted open models
- One model picker, with effort and speed settings
- Usage and cost by model, by agent, by computer, by task
- Quota per connected account
- See how each person and each agent used AI: tokens, prompts, use cases Roadmap
- Tell agent work apart from human work, and see where the money went Roadmap
Company Brain and Drives
Agents that know your company. Work that never gets lost.
- Company Brain reads Notion, Confluence and Google Drive
- Nothing to migrate
- Drives: versioned project folders where agent work lands
- Full history, browsable, runnable on any computer
- GitHub today; GitLab, Gitea, Forgejo Early access
Studio, and wherever your team already talks
Watch, steer and approve from one screen, or from your chat app.
- Studio: live agent sessions you can watch and take over
- Approvals, files and diffs in the same place
- Web, desktop, iOS and Android
- Talk to agents in Slack, Lark, Telegram and Discord
- Agents that drive browser tabs in the desktop app Early access
Agents as teammates
An agent joins your workspace the way a colleague does: it has a name, sits on the board next to your people, takes assigned work, reports back in the comments, and hands its result to a human to check.
Your team doesn't learn a new tool to work with it. They work with it the way they already work with each other.
- Agents are workspace members, listed beside your people
- Assign a task to a person, an agent, or a squad of agents
- Agents start within seconds of being assigned
- Agents open new tasks and lead projects
- Squads: a lead agent hands work to the right specialist
- Autopilots: scheduled standing orders (weekly report, nightly audit)
- Skills: reusable know-how, imported from GitHub or written in-app, pausable per skill
- Agents report progress and results as comments on the task
- Pull requests linked to tasks and watched automatically
- Custom task properties and table view Early access
Workflows with judgment and human sign-off
Automate the steps, keep the decisions with people.
- 700+ app connectors: Gmail, Sheets, Slack, Zoho, LinkedIn, WordPress and more
- Agent steps that apply judgment mid-flow
- Open an agent step's session and steer it
- Human approval steps: review, edit values, approve or reject
- Approvals go to team queues, with reassignment
- Web forms and scheduled starts
Control and security
The rules a company needs before it lets agents near real systems.
- Per-agent connection allowlist
- Provider keys held centrally, not on members' machines
- Only owners and admins can connect AI accounts
- Only a human can publish or switch on a workflow
- Usage tracked against the task that caused it
- Sign in with Google
Business apps, built in
The tools your company runs on, next to the agents that work in them.
- CRM with AI (Twenty)
- Support inbox (Chatwoot)
- Websites (WordPress)
- One DeepCycle login, no per-seat bill for these apps
- Backups and storage managed
- ERP for sales, accounting, inventory and HR (Odoo or ERPNext) Early access
Your first day with DeepCycle.
Nothing to migrate. Your tools stay where they are.
- 1
Run one command on a computer.
It joins your workspace with the agents already on it.
- 2
Sign in to your AI subscriptions.
Once, as an admin. The whole team can use them.
- 3
Assign your first task to an agent.
Watch it work in Studio. Approve the result.
"We already have…"
Claude Code is a great employee. Nobody is selling you the company.
We already use Claude Code.
Keep it. DeepCycle runs Claude Code. What it adds is everything around the agent: who assigned the work, who approved it, which machine ran it, what it cost, and where the result lives. Claude Code is the worker. DeepCycle is the company it works in.
Hermes / Codex / Cursor can already do this.
They do the task brilliantly. They don't run a team: no shared board, no approval queues, no shared subscriptions, no cost view, no shared memory. And you don't have to pick one. DeepCycle runs them side by side.
One person can already plug any model into Claude Code.
True, for one person. Thirty people means thirty setups, thirty subscriptions, thirty bills, and no view across any of them.
We have Zapier or n8n.
They run fixed steps well. When a step needs judgment (read this email, decide, draft a reply) or a person's sign-off, fixed automation stops. DeepCycle puts agent steps and human approvals in the same flow, across 700+ apps.
Microsoft / Salesforce already does this.
Inside Microsoft, or inside Salesforce. If your company lives entirely in one vendor, buy theirs. If you use more than one AI, which is almost everyone, you need a referee, not another player.
We'll build it ourselves.
Many companies are, and that is the proof the problem is real. Then you own the glue forever: every new model, every new agent tool, every new hire means more of it.
Smarter models will make this irrelevant.
Better workers raise the stakes of coordination; they don't remove it. A brilliant new hire still needs a manager, a budget and access rules.
Is our code and data safe?
Agents run on computers you choose, with owners and access lists. Provider keys stay in one place, not on members' machines. Each agent gets only the connections you allow.
Everyone will rent the same AI.The winners will be the ones who organise it best.
Capability is solved. Coordination is not.