d5sd5s

Multiplayer AI
for teams and agents.

People and AI coworkers share one workspace to hand off work, use your tools, and keep the team moving. Any model, any cloud, your infrastructure.

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One shared workflow. See the team at work.

A request comes in. Agents use the tools and coworkers they need, then bring the result back to the team.

d5sSupport Agent avatarSupport Agent
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3 toolsconnected

@Support Agent Prepare Northstar's launch plan before tomorrow's onboarding call. Include the open questions and confirm the account lead has seen it.

Maya Chen · Slack · #customer-success · 2m ago

Support Agent avatar
Support Agent
SlackReading support threads0Read 18 support threads1.9s
NotionPulling account contextPulled account context1.2s
GmailSearching for account leadConfirmed the account lead0.8s
The launch plan is drafted. Two open questions need the team, and the account lead has confirmed she is across it.
Support Agent avatarOnboarding Agent avatarHanded the launch brief to Onboarding Agent
Onboarding Agent avatar
Onboarding AgentGmailOutgoing email

Northstar launch plan

The launch plan is ready, the open questions are included, and the account lead was notified in Slack.

Scheduled wakeup · 17:30

Double-check the launch plan and return only if the team is needed.

Introduce AI coworkers to your team. Give them recurring work, and let them see it through.

Sales teams at work

d5s for Sales teams

Review this morning's pipeline, flag deals that went quiet, and draft the follow-ups. Ask me before anything is sent.

Pipeline Agent avatar

Pipeline Agent

On it. I’ll review Attio, flag quiet deals in Slack, and prepare the Gmail drafts. I’ll come back before anything is sent.

AttioGmailSlack

You decide how they work. Set their permissions, tools, memory, and approvals in one place.

Every job gets its own workspace. Agents access only the files, tools, and network you allow.

You stay in the loop. See what your agents did, why they did it, and when they need you.

Start with one team. Scale across your organization.

d5sd5sOrganization

Northstar Organization

Shared policy · separate team workspaces

Product

4 people · 2 AI coworkers

IPFMCSYKInsights AgentRelease Agent

Sales

3 people · 2 AI coworkers

TLJRAKPipeline AgentFollow-up Agent
Started here

Marketing

4 people · 2 AI coworkers

MCTHSKNOCampaign AgentResearch Agent

Finance

3 people · 2 AI coworkers

APDMLSClose AgentReporting Agent

Operations

3 people · 2 AI coworkers

KTABWGOps AgentVendor Agent

Safe for every team. Ready for the enterprise.

Keep people, agents, tools, and runs inside clear boundaries. Add organization-wide governance and your preferred deployment model as you scale.

LLM provider safety

Approve the providers and models your organization may use. Bring your own keys or run a self-hosted model.

SSO & access control

Connect your identity provider. Give people and groups access to only the workspaces and agents they need.

Agents work like governed coworkers

Give every agent a role, approved tools, scoped data, and approval rules—then keep every action on the record.

Enterprise deployment

Deploy your way.

Deploy in single tenancy, inside your own VPC, or fully on-premise, in the region you choose. It can run completely air-gapped, with no third parties.

Single tenant · Your VPC · On-premise · Air-gapped

Connect your tools. Choose your models.

Bring the systems your team already uses and choose the organization-approved models behind each workflow.

Connect your tools

Work across the systems your team already uses.

280+ connectors
SlackGmailNotionGitHubGoogle DriveLinearStripeFigmaHubSpotJiraAsanaAirtableOutlook+280

Choose your models

Use approved providers, your own keys, or models you host.

or self-host
Self-
hosted

FAQ.

d5s is the AI agent workspace for teams that want frontier AI capability without the lock-in. Any model, any cloud, your infrastructure. Set up agents that handle repetitive work for the whole team, like clearing the support queue each morning, tracking suppliers, or pulling together the weekly report. Each one plugs into your existing tools, follows rules you write in plain language, and logs every step.

Teams that want AI doing real work, not just answering questions. Best fit: legal, finance, life sciences, infrastructure, and government suppliers, where data sensitivity rules out hosted chatbots. And teams that refuse to bet the business on one model provider: they match each task to the best model for the job, or the most cost-efficient one, and switch as the frontier moves, without re-platforming.

Request access. We onboard new teams with a short call, help define your first workflow, and connect it to one of your systems in the first session.

Hosted chatbots stop at the reply. With d5s, agents run in isolated sandboxes with scoped connectors to your real systems: reads logged, writes gated, every action under a policy your compliance team signed off on.

Depends on who hosts it. When we host it: in AWS, in the region you pick, isolated per customer, with infrastructure, identity, and model access handled for you. When you host it: inside your own cloud, in any region, behind your own login system. Data never leaves the environment you deploy into.

d5s does not use your data, prompts, or documents for model training. If your organization uses an external model provider, that provider's data handling depends on the model, account terms, and configuration your organization selects. Organization admins can restrict approved providers and models, bring their own keys, or use self-hosted models.

You pick. We handle access to OpenAI, Anthropic, Mistral, and others, or you bring your own keys, including open-weight and self-hosted models. Each agent is locked to a specific model, so switching providers is always explicit and reviewable.

One package covers the control plane, sandboxes, identity, and connectors. Deploy it inside your own cloud or on-premise, next to the systems your agents need to reach. Nothing has to leave your network.

Yes. Self-hosted setups plug into the identity provider your team already uses for single sign-on and access control, including fully air-gapped deployments where no traffic leaves your network.

Only the things you connect, with the permissions you set. Databases, SharePoint folders, Slack channels, internal tools. Each connection is read-only, write, or off, and you can change or revoke it any time.

Every run is sandboxed and destroyed when it finishes. Connector access is read-only, write, or off, and every read, write, and decision is logged for audit.

Tell us the work
you'd hand off

We're working with our first teams now. Tell us the job you'd want an agent to do, and we'll show you what it would look like.