Massive information asymmetry hits SME owners when dealing with creditors. We deploy secure Large Language Models (LLM) to scan your contracts, uncover silent fees, and decode the real "scoring" your bank applies to you.
A professional credit agreement, an account convention, or an overdraft deal usually contains about 40 pages of legal and financial jargon. Your relationship manager knows you have neither the time nor the technical expertise to check every single line.
That's where invisible margins hide. By combining the extraction power of Artificial Intelligence with the analytical rigor of a former CFO, we sift through your documents.
The result is not a simple "text summary." It is a clinical audit report, accompanied by a negotiation action plan drafted by an ex-banker, ready to be presented to your bank advisor.
SMEs accept degraded pricing conditions simply because they lack the resources of a full Finance Department to challenge the bank's algorithms. AI immediately rebalances this power dynamic.
Analysis of pricing lines: maintenance fees, transaction commissions, unpaid item fees, and forced payment charges. Detection of gaps compared to market averages (B2B Benchmarking).
Extraction of real conditions: Annual Percentage Rate (APR), calculation of early repayment indemnities, flow domiciliation obligations, and cross-default clauses.
Audit of actual coverage vs. banking requirements. Detection of third-party insurance delegation opportunities to reduce the total cost of professional or real estate credit.
You transmit your financial PDFs via our secure server. No connection to your bank accounts is required.
Our NLP system "reads" the contract, extracts structured data, and flags anomalies compared to our database.
The human eye. A former investment banker validates the flaws detected by the AI and qualifies the negotiation levers.
You receive a quantified memorandum. You know exactly which fees to contest and with which legal arguments.