Daily briefing
Every morning before the team logs on, pulls together the day's calendar, the overnight emails worth flagging, and the open tasks each person owns. Posts a one-screen brief into Slack.
You write the rules in plain language and pick what the agent can connect to. It runs the job in an isolated workspace and brings the result back where your team already works. Every step is on the record.
d5s turns a business process into a governed agent: rules, permissions, tools, memory, approvals, and audit trail. Compliance can review it; team leads approve it, before any action runs.
You write what the agent is for, what it can read, what it can write to, and when it should stop and ask a human. Compliance reads it. Team leads approve it.
Connect a database, a SharePoint folder, a Slack channel, an internal tool. Each connection is read-only, write, or off. The agent only touches what you allow.
Every time the agent runs, it gets its own isolated environment. Nothing leaks across conversations, teams, or customers. The workspace is destroyed when the work is done.
Memory carries facts across runs. Once a job runs cleanly, the steps are saved as a playbook. The agent watches cost, accuracy, and feedback, and proposes its own improvements.
Agents start as reasoning loops and earn their way into fast, auditable playbooks. When something breaks, they patch themselves and propose a solution back to you.
The agent reads the rules, picks its tools, and works through the problem from scratch. Slower, and pays the full reasoning cost while it finds a clean path.
The working path becomes a fixed playbook. The same job runs in seconds at a fraction of the cost, with steps that stay easy to review.
If a column gets renamed or an API moves, the agent detects the drift, patches the playbook, and asks a human to approve the change.
Built for regulated workloads. Two ways to deploy: managed by us for speed, or in your own cloud when data can’t move. Every pillar below applies to both.
Every conversation gets its own clean, sealed environment. It is destroyed when the work is done. Nothing leaks between runs, customers, or teams.
Bring your own cloud. The platform runs in your account, in any region. Your data stays next to the systems agents need to reach.
Plug into the identity provider your team already uses. Set who can run what. Every read, every write, every decision is logged for audit.
Same product whether we host it or you host it. Bring your own login system and your own AI models, including air-gapped setups where no traffic leaves your network.
Use d5s to set up AI agents that handle repetitive tasks for your whole team, like clearing the support queue each morning, tracking suppliers, or pulling together the weekly report. Each agent 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. Also a fit: any data-heavy team that wants one tool that runs hosted or inside their own cloud.
Join the waitlist. 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.
You pick. We handle access to OpenAI, Anthropic, and others, or you bring your own keys. 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 next to the systems your agents need to reach.
Yes. Self-hosted setups work with your existing identity provider and your own models, including 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.
Automate any repetitive task. Each agent connects to your existing tools, follows rules you write in plain language, and posts results where your team already works.
What we've shipped to the workspace recently.
Sub-agents now have explorer and generalist profiles, appear as real sessions with streaming and usage tracking, and can use connectors to gather context.
The d5s changelog is live at /changelog, updated daily by a d5s automation that reads what shipped and drafts public release notes.
Chat now streams tokens incrementally for sub-second first-word latency, pins new messages to the top, and scrolls smoothly so you never lose your place.
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.