Your firm’s edge should compound inside your walls.
Enterprise AI for institutional investors, built and deployed with our sister company Cognosis Citadel. Measured on your own documents by day eleven.
Delivered with Cognosis Citadel
Watch your best analyst between 8:00 and 11:00.
Three hours of her morning went to reading, copying, and reconciling. Multiply that across every analyst, every deal, every quarter. That is the tax. We remove it first.
With the platform, the draft waits at 8.00. Sourced, reconciled, and already in your template.
Four numbers, re-tested on your files.
Data room in, draft investment committee memo out. Your template, every figure source-linked.
Extraction accuracy. Every figure traces to the page it came from.
From first call to measured proof-of-concept results on your own documents.
Client documents used to train shared models. In every configuration, without exception.
Every figure above gets re-measured on your documents, against metrics you define, inside an eleven-day proof of concept. A number that fails at your firm fails on day eleven, not in month eleven.
Every figure carries the page it came from.
Select any highlighted figure.
The portfolio generated of revenue in FY25 at a EBITDA margin, across operating assets with a weighted average remaining offtake tenor of . Management projects of maintenance capital expenditure over the next three years.
Select a figure to see where it came from.
The workflows firms operationalise first.
Find your desk below. Then ask us to reproduce the number on your own documents.
Private equity & M&A
- Data room to IC memo. 100+ hours down to under 10.
- CIM to LBO model prep, in your template. 5 to 7 hours down to 15 minutes.
- Deal screening against your thesis. Three times the coverage.
Investment banking
- Earnings comps and precedent analysis. Same day, every name.
- Profiles, teasers, and pitch pages. Drafted before kickoff.
- Meeting prep and news runs. Assembled overnight.
Asset & wealth management
- Source-of-wealth and KYC assembly. Days down to hours.
- Portfolio commentary. Personal, every quarter, every client.
- Market and portfolio briefs. In the inbox at open.
Operations & reporting
- Board packs and investor reporting. Assembled and sourced.
- Contract review. 60 minutes down to 6 per agreement.
- Every output traced to source. Audit-ready by construction.
What actually goes into delivering this.
Every enterprise AI deployment involves a version of this work. Most vendors keep it vague. Here is the sequence, with dates.
We listen before we demonstrate.
One call about your priorities, your workflows, and your stack. We ask which three workflows burn the most analyst-hours per week. That single answer decides everything after it.
The proof of concept is scoped on your real documents.
One workflow, your actual files, and success metrics you define. Accuracy thresholds, time targets, output format. We test on your documents because a demonstration on ours proves nothing about your firm.
You see measured results, not a pitch.
Side by side. The workflow as your team runs it today against the platform’s output, scored on the metrics agreed on day three. The numbers hold or they fail, and you spent eleven days finding out.
Our engineers sit with your analysts and learn the firm.
We record how your people actually build a memo. Every source, every sanity check, every formatting rule. We tune the models to your language, templates, and conventions, then connect the first systems. Your team teaches the platform. Our team makes it stick.
Firm-wide rollout, then handover.
Structured training desk by desk. Adoption tracked weekly. Continuous benchmarking against ground truth. Our forward-deployed engineers are measured on the day your team ships a workflow without us in the room. A consultancy gets paid on the opposite.
Every firm is about to use AI. Very few will own theirs.
The frontier labs sell the same intelligence to you and to everyone you compete against. A subscription cannot be an edge. Whatever a rented model does for you on Monday, it does for the fund across the street on Tuesday.
Your edge is the one thing the labs lack. Your deal history, your templates, your people’s judgment. Sovereignty means that edge compounds inside your walls instead of leaking into somebody else’s product.
- The same model as your competitors. Identical capabilities, identical outputs.
- Generic by design. It has never read your past deals and formats memos like everyone else’s.
- Your usage improves the vendor’s product, not your firm.
- Cancel the subscription and nothing remains. No asset, no memory, no moat.
- Models tuned to your language, templates, and investment thesis, inside your perimeter.
- A data lake that is your asset. Every deal and memo makes your system smarter.
- Zero training on your data. Contractually, architecturally, verifiably.
- A capability worth more in year two than year one, and it belongs to you.
Where the data sits is a decision you make, not one you accept.
You choose the hosting per engagement. Your own cloud tenancy, Swiss or EU hosting, or on-premise where the mandate requires it. Every configuration ships end-to-end encryption, granular permissions mirroring your existing model, and full audit trails. Your information security team gets the complete picture under NDA before anything connects.
Plain answers.
Who is the AI platform built for?
Institutional investors and financial services firms in Switzerland and across Europe. Private equity, investment banking, asset and wealth management, and venture capital.
How fast do we see results?
Measured results on your own documents by day eleven. Production follows in two to four weeks.
Where does our data sit?
You choose. Your own cloud tenancy, Swiss or EU hosting, or on-premise. No configuration trains shared models on your data.
Who builds and deploys the platform?
Cognosis Citadel, the AI sister company of Dark Matter AG. Forward-deployed engineers install the platform inside your firm and hand it over to your team.
Ask for the eleven-day proof.
One workflow, your documents, your metrics. Eleven days from the first call, you know exactly what this does at your firm. A number that fails costs you eleven days, not a budget cycle.