A private, shared workspace for your whole team — where nothing leaves, and the group's knowledge compounds year after year instead of scattering across inboxes and a few people's heads.
For a century, the world trusted Switzerland to hold what mattered most — discreetly, neutrally, beyond easy foreign reach. That trust was built on banking. The asset has changed: today it is data, and the AI run over it. The instinct, the neutrality, and the law remain — now expressed as some of the world's strictest data-protection rules, sovereign infrastructure on Swiss soil, and AI governed end to end under Swiss law.
Fake data, no signup.
Built for groups whose work shares the same shape: closed, sensitive, and worth getting right.
Every closed group of professionals — five directors on a board, a dozen people in a deal room, a legal team running a regulated matter — is now caught in the same bind. The consumer AI products are out of bounds: feeding privileged or material non-public information to a vendor whose terms permit training is not a defensible decision. The enterprise AI products are built for thousands of seats inside a single company, not for the small, cross-organisational, advisor-laden groups where the actual decisions get made — and they tie the work to AI run by companies, and under jurisdictions, that the group does not answer to.
So most of these groups do nothing. Members go back to their personal AI accounts on the side, and the work of the group continues to live where it has always lived — in inboxes, scattered files, and the heads of two or three people.
None of the AI on offer was built for work like this — closed, sensitive, shared across organisations, and meant to last. Consumer tools cannot be trusted with it; enterprise tools do not fit it, and tie you to AI you do not control; and in neither does the group's knowledge ever compound.
So we built the one that does.
Steward is shaped for groups where every member is trusted, every document is sensitive, and the work persists across years. If your team looks like one of the four below, the fit is likely. If it looks like something we have not yet listed, we want to hear about it — that prompt is at the bottom of this page.
Listed companies, foundations, regulated entities, pension boards.
What did the board actually decide on the dividend policy review of 2022, and what conditions did the audit committee attach?
Try the board-style demo→M&A teams, deal rooms, IC, private equity, special situations.
Across our last twelve diligences, where did revenue quality assumptions diverge from what we found in the first ninety days post-close?
Try the deal-team demo→In-house legal, GC offices, outside counsel project rooms, regulatory teams.
What positions has opposing counsel taken on indemnification scope across the last four matters with this firm — and where have they conceded?
Try the legal-matter demo→Single- and multi-family offices, principals, and the advisors around them.
When we restructured the family's holding companies in 2019, what did each advisor recommend — and what did we decide, and why?
Try the family-office demo→Each works on its own. Together they make Steward the one place your whole team works — where the group's knowledge compounds across years, not a tool you log into when you remember to.
Ask anything that lives in your group's documents, decisions and prior conversations. Steward reads across your permitted corpus and answers with citations to the actual source — minutes, memos, term sheets, opinions, board packs, advisor correspondence. Your group's institutional knowledge becomes searchable, not just storable, and every answer can be promoted into the group's standing record.
The everyday questions your members would otherwise put to ChatGPT or Claude — research, drafting, summarising, structuring — answered inside your sovereign workspace. Frontier model quality with the data protections your work requires. No queries leave the group by default. No conversation enters anyone's training set.
Steward can take on recurring work and run it for you. Compile the pre-read for every quarterly meeting from the prior period's documents. Pull every newly-filed document for an active matter and summarise the changes. Flag anything overdue from the last meeting's resolutions. Set the task once. The work happens, with audit trail, until you change your mind.
Underneath every answer, a living map of your group: people, entities, matters, decisions, advisors, deadlines — linked by how they touch each other. The graph is what lets Steward navigate your records the way a long-serving secretary would, rather than searching them like a database. Visible in the workspace, exportable as your own folder of wiki pages — yours regardless of where your stack goes.
Steward is the foundation, not the ceiling. Reporting dashboards, custom workflows for your particular committee, integrations with the systems of record you already run — anything you'll want to add over the next five years reads from the same sovereign substrate. Build it yourselves on the same files Steward has been gathering all along, or commission us to build it for you. Either way, no re-ingestion, no re-migration, no vendor lock-in at the foundation layer. The technology decision you make once, that makes every subsequent decision easier.
Consumer AI ChatGPT, Claude, Gemini | Enterprise AI Copilot, ChatGPT Enterprise | Steward | |
|---|---|---|---|
| Frontier-model quality | ✓ | ✓ | ✓ |
| No training on your data (under contract) | — | ✓ | ✓ |
| Available individually, instantly | ✓ | — | — |
| Centralised administration (SSO, audit logs) | — | ✓ | ✓ |
| Hosted in Switzerland, under Swiss law | — | — | ✓ |
| Vendor's engineers cannot read your data (Dedicated tier) | — | — | ✓ |
| Outside US CLOUD Act reach | — | — | ✓ |
| Built for closed groups across organisations | — | — | ✓ |
| Knowledge graph across the group's documents | — | — | ✓ |
When the Dedicated tier guarantees that no one outside your group can read your data — not us, not the infrastructure provider, not even under a court order to either of us — that claim has to rest on something more than policy. It rests on a category of infrastructure called confidential computing: memory that stays encrypted even while it is being processed, and hardware that attests to exactly what code is running before it agrees to unlock your data. On Hosted, encryption at rest under platform-managed keys is the protection; on Dedicated, the addition of confidential computing makes "we cannot read your data" a property of the silicon, not a promise.
This is the substrate underneath the Dedicated tier's no-knowledge guarantee. Without it, "no one but you can see your data" is something you have to trust. With it, it is something you can verify.
Two tiers: a multi-tenant Swiss-sovereign Hosted service for most engagements, and a single-tenant Dedicated option for organisations whose posture requires customer-controlled keys and confidential computing. Pricing is per-seat with a tenant base; numbers come from a short scoping conversation.
Steward began inside a Swiss family office, where the fit was unambiguous. As we extend to other closed groups, we are deliberately listening before we generalise. The four personas above are our hypotheses about which teams share enough of the underlying shape to make Steward worth their consideration. We may be missing one — or describing one in language that does not match how the work feels from the inside.
If you are inside a group that the four cards above do not quite capture, we would value a few sentences from you about the shape of your work.
Book a call about your team→We read each one personally. Replies within a few days.
Steward was built inside ANA Wealth, a Swiss family office, for our own work. Family offices were the original group: small, trust-bound, document-heavy, advisor-laden, with decades of history that nobody had time to make searchable. The product still serves them — and a separate page describes that fit in detail.
Extending Steward beyond family offices is a deliberate move, not an afterthought. The substrate underneath — sovereign Swiss infrastructure, knowledge graph plus vector retrieval, House Rules per workspace — turned out to fit a wider class of work than the original use case. Boards, deal teams, legal matters, and strategy committees share the same shape: closed membership, sensitive material, multi-year continuity, and a need for AI that cannot be answered by either consumer or enterprise products as they stand.
We are extending carefully, with one director or general counsel at a time, because the groups we serve are not the kind of groups that tolerate being a beta market.