People and AI teammates. The collective intelligence workspace.

Them AI brings your people and your AI teammates into one shared workspace: a room for each piece of work, teammates you build here, and the agents you already run elsewhere. What the company learns stays with the company, even after people move on.

Mac-only for now. Free during the beta (invite-only).

In the Sales desk room, Sam Rivera, new to sales, asks about the company's policy on refunds for nonprofits, and Maya Chen, a senior salesperson, answers: settle first, and promise nothing until billing confirms it. Her answer is kept as the record Nonprofit refunds v1. In 2027 Priya updates it to v2: finance now signs off too. A few years after Maya left, Nina Park, also new, asks the same question. Them AI picks Riley, the room's AI teammate, who answers with what Maya advised and the 2027 change, citing Nonprofit refunds v2 and its first version, kept by Maya Chen, former member.
Company memory in Them AI: Maya Chen approves the Discount policy record, it becomes v3 with her as owner, and Riley's answer cites it as Discount policy v3, linked back to her approval.

Company memory: Discount policy v3, approved, with its owner.

The problem

Ask a team how they use AI and you'll often hear the same story: one person, one assistant, one private conversation. The answer may be useful, but the learning stays with one person. The next person starts from zero.

Companies have the same problem with people. When someone leaves, the files remain, but their context and reasoning go with them.

AI should do more than complete tasks. It should understand how your business and your people work, so every interaction builds on the knowledge your company already has.

A company gets the full return on AI the day its people and its AI teammates share one memory they can all check.

The old wayThe new Them way

On the left, in private tabs of their own, Alex Morgan and then Nina Park each ask, in their own words, how big a discount Brightwater Clinics can get, and each gets a vague answer that only they can see, while on the right the dark Pricing desk room switches on, the same question from Alex is routed to Riley, who answers from Discount policy v3 where the whole team reads it, Maya Chen tells Sam to use it, and the private chats dim as the room stays lit.

Them AI is the collective intelligence workspace

Have a specific task or problem? Create a room.

Bring your people, AI assistants, agents, and relevant company knowledge together. Brief, plan, create, review, approve, and execute in one place.

You decide what each AI teammate can handle on its own and what needs your review.

A new room named Halvorsen launch is created. Dave, a Senior VP, Nina Park, Sankar and the AI teammates Riley and Parker are added. Dave writes: Alright guys, we have 3 days to get this done. Bringing in all the info we have on Them AI about this client to our room. Add your agents too. Let's get cooking. His message brings in the client's records and the launch brief. Nina, Sankar, Them AI, Riley and Parker each reply with a thumbs up.
  • Rooms

    A room for each project, client or team, where people and AI teammates talk in one stream, with threads beside it.

  • AI teammates

    Build a teammate here and give it a job, or bring the agents you already run.

  • One memory

    One memory underneath, approved by your people and cited in every answer that uses it.

Perks of using Them AI

  1. People move on. Their work can stay.

    Keep the decisions, reasoning, and methods they documented, so the next person has something useful to build on.

  2. Break the individual AI bubble.

    Work in real time with your people and AI teammates. Ask questions, build on answers, and work through decisions together, with everyone in the room following the same conversation.

  3. Put your documentation to work.

    Turn existing documents and past decisions into a playbook your team can use. Review what becomes shared knowledge, and work through past scenarios to help new teammates get up to speed.

    As your team adds and approves new knowledge, there's more for everyone to work with.

  4. Keep the right things private.

    Give each client's records their own room. Use members-only rooms and private messages for restricted conversations. People and agents work within the access you give them.

  5. Pull @Them into your workspace, Slack, Google Docs, Teams and more

    Ask your AI teammates a question out loud or get help during a call. Have notes, relevant records, and follow-up drafts ready for review.

    Slack, Google Docs and Teams are next.

  6. AI teammates that take on the grunt work

    Reminders, proposals, call support, research, and handoffs, powered by your company's playbooks, data, and conversations. Your team focuses on what matters, while your company brain gets smarter with use.

Alex Morgan, a renewals lead who has moved on, left approved decisions and a renewal method he taught, which become Sage, an AI teammate whose page says it is built from Alex Morgan's approved work, and when Maya Chen asks Sage in Pricing desk why Halvorsen got a renewal credit, Sage answers and cites Alex's record, Renewal exceptions v4, owner Alex Morgan.
In the Proposals room, Riley drafts the Brightwater reply, Sam Rivera asks to end the offer at year end, Maya Chen changes that line of the same draft and sends it as her message, and Sam approves it, with nothing copied between tools.
Sam Rivera drops Support handbook.pdf into the Files tab of the Support desk room, Them AI reads it, Suggest records turns it into three draft records that wait for review, and in the Inbox Maya Chen approves the first, Refund runbook, which becomes v2 while two still wait.
Brightwater Clinics and Halvorsen Build each have a client room with a wall between them, and in Brightwater's room Riley answers a pricing question from Brightwater's record and turns down a question about Halvorsen Build because its records stay in its own client room, while a members-only room opens only to the people you add.
A map around @Them in your workspace: Call assist with Riley keeps notes beside a call and Talk to Them takes a question out loud, while Slack, Google Docs and Microsoft Teams stand around @Them, each marked Coming.
In Alex Morgan's Inbox, three AI teammates work at once: Riley prepares the Brightwater call brief in Pricing desk, Parker drafts the Halvorsen pilot proposal in Proposal desk and Jamie writes a renewal reminder for Meridian in Customer handoffs; each searches approved memory and reads its room, then comes back as a draft that cites an approved record, and nothing is sent until Alex presses Send.

The intelligent router

Say what you need. Them finds the teammate.

You shouldn't have to remember which AI handles what. Ask in the room, and Them AI matches the request to a teammate with the right role, skills, and access.

A plain question typed into a room is routed with the line Picked Riley: Discount policy v3, the author opens Not Riley? and keeps Riley, and Riley answers with the record cited.
  • Ask like you normally would.

    "What discount can we offer this client?" can start the work. A simple "Thanks" won't start another job.

  • See who picked it up.

    Check which teammate was chosen and why. Stop the task or choose someone else when you need to.

  • One request can call for several teammates.

    When a request needs more than one skill, different teammates can each take the part they're equipped to handle.

  • Want someone specific? Tag them.

    Mention a teammate or choose who answers. Your choice takes priority.

  • Your room. Your rules.

    The same access limits and approval requirements apply. You can also switch automatic routing off for a room.

  • Fewer unnecessary AI calls.

    Simple routing decisions use rules, helping avoid a model call for every message.

There's more your AI team can take on.

  • Teammates that help each other.

    An AI teammate can ask another for help, within limits your team sets. You can stop the work when needed.

  • Help, right on your desktop.

    Work with your AI teammates through desktop assistance, including Write and Call assist.

  • A clear view of the work.

    See the steps a teammate took, what it read, what it produced, and what it cost.

  • Repeat work, on a schedule.

    Set recurring workflows to run when needed, with approval steps along the way.

  • Company context across your tools.

    Give supported tools such as Claude Code and Cursor access to the same approved knowledge your team uses in Them AI.

Where AI teammates run

Choose where your AI teammates run.

On our cloud, on your Mac, or connected from elsewhere. They work with the same company memory, access rules, and inbox wherever they run.

On Them AI's cloud

Let us host your AI teammates, ready to work in the rooms you add them to.

On your Mac

Run supported agents such as Claude Code on your Mac using your existing subscription. Their work in a room comes back as a draft for you to review.

Bring one. Or pick one.

Connect a supported agent through MCP, with its own access permissions, or add a ready-made teammate from the marketplace.

Agents from other platforms can also connect by address. Dedicated integrations for individual platforms are coming next.

Marketplace

Your experience could be someone else's next teammate.

You've spent years figuring things out. Turn that know-how into skills and AI teammates that others can bring into their work.

Why should I buy?

You could spend days piecing together articles, videos, and courses. Or start with an AI teammate built around an expert's methods and know-how. Bring that guidance into the work you're doing. Your call.

Why should I sell?

Your methods could help far more people than you can work with one at a time. Package them into skills and AI teammates, ready to offer when buying and selling opens.

Who builds them?

See the maker, subject experts, and engineers behind each listing, so you know whose experience and methods you're bringing into your team.

During the beta: Add ready-made teammates and skills for free, or submit your own for Them AI's review. Paid buying and selling are coming next.

Lines we will not cross

A few things we won't compromise on.

Shared knowledge needs a human check.

A document or AI answer can suggest something useful. Your people decide whether it becomes knowledge the company works from.

Your knowledge should travel with you.

Use approved memory with supported AI tools, and export skills as plain SKILL.md files. Keep using what your team has built as your tools change.

You choose your AI team.

Bring supported agents from the providers you prefer. Give each the access it needs and the boundaries you want.

The work belongs beside the conversation.

Keep tasks, files, drafts, and decisions in the room where people are working through them. Give the discussion somewhere to go.

Who it is for

Does your best answer usually start with "Ask so-and-so"?

Them AI is built for teams whose work depends on what the company already knows.

Support and customer success. Sales. Consulting and advisory. Operations.
If a few people hold the context everyone needs, or useful AI work stays in separate chats, bring that thinking into a shared workspace your whole team can use.
We onboard teams in small groups, with a person helping each one get started.

How to start

Got a team in mind? Bring them.

Join the waitlist with your business email.

Bringing your whole team? Email hello@usethem.ai with your team's size and what you work on. Teams joining together get priority.

Already know someone using Them AI? Ask them for an invite from their workspace.

Available on Mac. Free during the invite-only beta.

Contribute individually. Build collectively.