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This Agreement is made between the Sellers listed in Schedule 1 and Hyperion Holdings AG in respect of the Series C shares.
Super Chain runs on your servers, cites every figure, and acts only when you approve. Nothing leaves your network.
Connect your systems, ask in plain words, and nothing is sent or filed until a person approves it.
Connect the apps your workspace uses, so the assistant can work in them as you.
Work the org's ClickUp workspace from chat: read tasks, owners and due dates, and create, update or comment on a task.
Choose when the assistant may take each action for you. "Needs approval" asks you in the chat first.
On servers your firm controls or in its private cloud, with the AI model your IT team chooses.
It reads your documents, tracks what is due and drafts the memo or spreadsheet, with every figure cited to its page.
Folder access · Hyperion Series C
| Name | Type | Size | Status |
|---|---|---|---|
| Hyperion SPA — execution version.pdf | 4.2 MB | Approved | |
| Cap table Q3.xlsx | XLSX | 88 KB | Approved |
| Disclosure letter draft.docx | DOCX | 210 KB | Pending review |
Real screens, synthetic data.
Investment and wealth firms, family offices and broker agencies.
| Member | Code | Jurisdiction | Status | Tax Resident |
|---|---|---|---|---|
| Ines Larch | GB | United Kingdom | Non-resident | No |
| Tomas Larch | MC | Monaco | Resident | Yes |
| Larch Family Trust | JE | Jersey | Exempt | No |
Set access once on a folder. Everyone below inherits it, and the AI answers only from what each person can read.
| Name | Type | Status | Uploaded |
|---|---|---|---|
| Term sheet v3.pdf | Term sheet | Approved | 2 Nov |
| Cap table 2026-10.xlsx | XLSX | Approved | 31 Oct |
| LPA side letter.pdf | Agreement | Approved | 28 Oct |
| Northbank credit facility.pdf | Loan agreement | Approved | 27 Oct |
| Monaco apartment deed.pdf | Title deed | Approved | 19 Oct |
| Office lease renewal.pdf | Lease | Pending review | 4 Nov |
Hyperion Series C: USD 4.0m at a USD 180m pre-money, 1x non-participating preference 1. Pro-rata on the next round 2.
I found nothing on a Northbank facility in the documents you can read.
Super Chain was built for a family office whose documents could not leave the office: an LLM with retrieval over financial research, macro data and portfolio holdings, with the model chosen per office, running on the office’s own infrastructure. Every answer is cited, so a principal can check the working.
Private AI for a family office is an AI platform deployed inside infrastructure the office controls — its own network or a private tenancy — so documents, portfolio data and conversations never reach a third-party model provider. Super Chain runs this way: nothing leaves the room.
Yes. Super Chain reads every signed agreement cover-to-cover and posts each obligation it carries — cap calls, lock-ups, renewals, filing windows and covenants — to one calendar, surfacing what is due before it lands rather than after.
Yes. For a broker agency, Super Chain keeps cases, clients and lenders in one room — matching terms to a case, drafting term sheets, and keeping files audit-ready, with counterparties invited only as far as the specific case allows.
Yes, in depth. Each deployment is configured per client: its own roles and permissions, workflows written for its routines, document extraction tuned to its paperwork, its own deal types and stages, connections to the systems it already uses, and the AI model it chooses.
Super Chain keeps documents, models and the audit trail on infrastructure the office controls, which is what data-protection and financial rules in each market care about: PDPO and SFC guidance in Hong Kong, UK GDPR (enforced by the ICO) and the FCA in the UK, and the SEC’s Reg S-P in the US. The platform does not make an office compliant; the office’s compliance team decides.
Nowhere. The model, documents, embeddings and audit trail all run on the office’s own servers or a private tenancy its IT team controls. Super Chain keeps no copy and receives no telemetry.
A 30-minute call with our team. We look at where your firm uses AI today, which documents and systems it would touch, and where it should run. You leave with a plan: what to start with, what to keep out, and which deployment fits. It is free.
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