Artificial Intelligence
Document intelligence that runs on your iron.
Our AI runs in Sciforn’s own private data centre, on hardware set aside for each client. The models are full-scale LLMs trained for financial work. You keep complete audit rights, none of your data is passed to a third party, and Sciforn holds SOC 1 and SOC 2 reports.
Why teams run on Sciforn AI
Your data stays with you
Full-scale language models run on dedicated, segregated hardware for each client in our own private data centre. There is no public cloud in the loop, no per-token bill, and your financial data never leaves your environment.
Far less re-keying
Facility agreements, notices and fee letters are turned into structured records automatically. Parties, covenants, schedules and terms come through without anyone typing them in.
Every answer can be traced
Each extraction, answer and automated action can be traced back to its source, and you keep full audit rights over the models, processes and hardware behind it.
From signed agreement to loan record
Facility Agreement
Dated 14 March 2026 between Alpha Ltd as Borrower, the Original Lenders and the Agent.
2.1 The Lenders make available a sterling term loan facility in an aggregate amount equal to £42,500,000.
8.1 The rate of interest on each Loan is the aggregate of the applicable Margin and Compounded Reference Rate, where Margin means 2.75 per cent. per annum.
8.3 The Borrower shall pay a commitment fee computed at the rate of 35 per cent. of the applicable Margin.
1.1 Termination Date means 14 March 2031.
21.2 The Borrower shall ensure that the Loan to Value does not at any time exceed 65 per cent.
Loan record · Athena
Borrower Alpha Ltd Parties ✓
Facility amount £42,500,000 Clause 2.1 ✓
Margin 2.75% p.a. Clause 8.1 ✓
Commitment fee 35% of Margin Clause 8.3 ✓
Termination date 14 Mar 2031 Clause 1.1 ✓
LTV covenant 65% maximum Clause 21.2 ✓
6 fields filled, each linked to its clause Send for review
Sciforn AI
Private AI, on hardware set aside for you.
Full-scale models run in Sciforn’s own data centre on dedicated hardware for each client. Your documents are never used to train anyone else’s model, and every answer points back to its source.
Capabilities
Instant Loan Onboarding
Upload a signed facility agreement and get a loan record in Athena. Parties, covenants, schedules and financial terms are pulled out for you, with nothing typed in by hand.
Loan Onboarding Automated Fee Extraction
Fee details are read straight from notices and letters, which removes the re-keying and the calculation mistakes that come with it.
Fee Extraction Search Any Financial Document
Ask a question in plain English across loan documents, contracts and reports. The answer comes back with the clause or figure it came from, even when the document runs to hundreds of pages.
Document Q&A AI-Powered Data & Risk Intelligence
Turns unstructured financial and asset data into structured information, so valuations can be compared and risk assessed across assets and counterparties.
Financial Intelligence AI Workflow Automation
Automates the repetitive steps in financial workflows with a mix of machine learning, language models and computer vision, and keeps a full audit trail of everything it did.
Automation Local Document Reader
Documents are read and searched on the platform’s own server, and only the passages a question needs are sent to the model. Admins choose this screen by screen, and switching a screen to send whole documents to the AI service needs a second admin to approve it. It works the same way in Athena, Selene and Helios.
Local Reader Drafting From Your Documents
Upload a utilisation request and the drawdown is filled in from it, ready for your team to check before approval. Loan report commentary is written from the report’s own figures, so every sentence ties back to a number.
Drafting Answers You Can Check
In Selene, the fund assistant answers from the ledger itself and shows the records behind every figure, and reconciliation breaks are grouped by likely cause with the fix your team used most often. In Helios, Ask Helios answers from live data within each user’s own permissions and cites the figures it used.
Explainable How a document moves through Sciforn AI
01 Document Ingested PDF · scan · email
02 Read & Classified Type & layout detected
03 Fields Extracted Terms · parties · dates
04 Cross-Checked Against the source
05 Human Review Exceptions only
06 Posted to System Structured record
Manual handling vs Sciforn AI
✗ Manual handling
✓ With Sciforn AI
Analysts spend days on each deal re-keying facility terms from hundreds of pages
Signed agreements become structured loan records in minutes, with parties, covenants and schedules already filled in
Fees and rates are copied from notices into spreadsheets, and mistakes creep in
Fees and rates are read directly from notices and letters, so nothing is transcribed by hand
The answer is somewhere in a stack of PDFs that nobody has time to read
Ask the documents a question and get the clause, obligation or figure back with its source
Cloud AI tools send confidential deal data to a third party
Private models on dedicated, segregated hardware, so your data stays put and is never used to train anyone else’s model
Who uses Sciforn AI
Loan ServicersAsset ManagersFund AdministratorsCredit & Risk TeamsTreasury OperationsCompliance & Audit
Sciforn AI at a glance
Deployment On-prem · in-region
Infrastructure Dedicated & segregated
Models Full-scale LLMs
Data & audit Private · full audit rights
Our own private AI data centre
Dedicated and segregated hardware for each client, with full
audit rights over the processes and infrastructure. Nothing runs in a public cloud,
so costs stay predictable and sensitive financial data can’t leak to competitors or
third parties. We add hardware and people to it every quarter, and Sciforn holds SOC 1
and SOC 2 reports.
Time to move off your legacy systems?
Send us a facility agreement and watch the AI extract it during the demo.