Multiplayer AI
for teams and agents.

d5s gives your team AI agents that work like coworkers. Each one has a role, like clearing the support queue each morning or writing the weekly report. It connects to your tools, learns your processes, and works in Slack, Microsoft Teams and email.

A chat tool gives one person an answer. A d5s agent does the work for your whole team. It takes action in your tools, runs on a schedule without a prompt, and remembers your team's context. Each agent has its own model and can have its own Slack account and email address.

An AI coworker is an AI agent with a role on your team. It uses your tools, remembers past work, follows up, and by default asks for your OK before it sends or changes anything. d5s agents work as AI coworkers.

Recurring work for any team. A Customer Support agent ranks the queue and drafts replies. A Chief of Staff agent writes your morning brief. A Project Manager agent sends the weekly update, and an Accountant agent checks incoming invoices. See ready-made agents.

Gmail, Slack, HubSpot, Notion, Google Drive, GitHub, and any MCP server or HTTPS API as a custom integration. The catalog lists 180+ tools, and custom integrations get the same permissions and approvals. Browse all connectors.

Yes. Agents work in Slack, Microsoft Teams, Telegram, Discord and email, and in Slack an agent can have its own account. Anyone in a channel where you added an agent can mention it to hand over work. Agents also join Google Meet, Microsoft Teams and Zoom calls. See channels.

Yes. Your team and its agents share one workspace. Anyone in a channel where you added an agent can ask it for work, and the results stay in the workspace. Sharing settings decide who can use each agent.

Yes. An agent only uses the tools you connect, and each action is set to Allow, Ask or Deny. Out of the box, reading is Allow. Anything that sends or changes data, like sending an email, is Ask: the agent waits for your OK in d5s, Slack or Microsoft Teams. See security.

Approvals come first. By default, anything that sends or changes data waits for your OK, so most mistakes stop there. Every step is logged, and you can review and change each agent's memory and skills.

Yes. Every job runs in its own isolated workspace, and workspace files, database storage and connector credentials are encrypted at rest. d5s does not use your data to train models. The hosted service runs in the EU, and admins can export the audit log. See security.

Yes, on Enterprise. d5s runs in your own VPC or on your own Kubernetes with Helm charts, or as a single-tenant deployment. It is the same product, and it can use your own model provider keys. See deployment options.

You choose the model for each agent: OpenAI, Anthropic, Google, Mistral, xAI, DeepSeek and more. A switch is always explicit. Team and Enterprise use zero data retention on d5s-provided primary model routes.

Minutes. Sign up, and a short welcome walks you through the rest: connect your tools, create your first agent and invite your team. Then choose a plan. Prefer help? Book a demo, and we set up your first agent with you.

Pro is $25 a month plus tax, or €30 including VAT. Team is $35 or €35 per seat a month plus tax. Every plan includes monthly AI credits for your agents' work. Enterprise adds single-tenant and own-cloud deployment. See pricing.