AI for banks that can't afford a data breach.
Automate KYC/AML review, generate risk analyses, and power internal copilots for relationship managers -- all running behind your firewall, on your hardware, with no third-party data exposure.
The Problem
The financial services
AI dilemma.
Your regulators will not accept "the AI is in the cloud" as an answer. Financial institutions need AI with the data sovereignty and audit trails that regulators actually require.
Financial data exposure
Every cloud AI request transmits sensitive financial records, customer data, and proprietary models to third-party infrastructure. One breach puts your institution and your customers at risk.
Regulatory requirements
OCC, SEC, FINRA, and state regulators require demonstrable data governance. Cloud AI creates audit gaps that examiners will not accept and compliance teams cannot close.
Unpredictable API costs
Per-token pricing from cloud AI providers scales linearly with usage. At institutional volume, inference costs become prohibitively expensive with no path to predictable budgeting.
Use Cases
How financial institutions use AskSLM.
Purpose-built AI models for banking, insurance, and financial compliance -- deployed entirely within your secure network.
KYC/AML automation
Automate document intake and review for Know Your Customer and Anti-Money Laundering workflows. Flag irregular transactions, verify identity documents, and accelerate onboarding -- all within your controlled environment.
Risk analysis
Review lengthy financial filings, risk disclosures, and portfolio reports. AI models flag anomalies, summarize exposure, and surface risk signals that analysts can act on immediately.
Compliance reporting
Assist compliance teams with evolving regulations and policies. Generate regulatory filings, monitor for policy violations, and maintain audit-ready documentation automatically.
Relationship manager copilots
Power secure internal copilots for relationship managers. Summarize client portfolios, prepare meeting briefs, and surface relevant product recommendations -- all from on-premise data.
In Practice
What this looks like.
A financial institution deploys AskSLM inside its protected network to support analysts and compliance officers. AI models review lengthy financial filings and risk disclosures, flag irregular transactions or AML/KYC concerns, and enable analysts to query models privately through on-premise execution -- with all sensitive financial data staying within the bank's controlled environment.
Reviews financial filings and risk disclosures
Flags irregular transactions and AML/KYC concerns
Analysts query models through on-premise execution
All financial data stays within your environment
Cost Advantage
Cut inference costs by 5-20x.
Stop paying per-token for cloud APIs your compliance team cannot approve. AskSLM runs on hardware you already own with completely predictable, fixed costs.
Get Started
AI with the data sovereignty
your regulators require.
See AskSLM running in a financial services environment with your compliance requirements and data governance standards.
No commitment. No data shared. 30-minute call.