Banking teams stress-test liquidity before regulators do, with aidnn.
Turn core deposit, funding, and liquidity data into decisions you can defend. aidnn models how your liquidity coverage ratio holds up under depositor runoff, with verified, audit-ready analysis in minutes.
See Your LCR Hold Under Runoff
Model how the liquidity coverage ratio holds up as deposits run off, with provenance on every input.
How It Works
What Banking Companies Use aidnn For
Each demo reconciles fragmented banking data into verified, audit-ready analysis. Try any of them on your own data.
From core banking systems with millions of transactions to loan tapes, card data, and a long tail of spreadsheets, your data lives across FIS, Fiserv, Jack Henry, lending and deposit systems, and the files on your team's desktops, which makes verifying answers nearly impossible for most LLMs.
Core banking, lending, card, and deposit systems do not connect, forcing manual reconciliation instead of analysis.
Joining data across core, loan origination, fraud, and CRM systems takes weeks.
Analytics are slow, error-prone, and regulated customer data cannot leave your environment.
aidnn Neocortex™ | The Intelligence Layer
Cognition That Compounds, Under Your Control
Banking runs on credit judgment, risk conventions, and institutional knowledge built over decades. NeoCortex, the cognition layer behind aidnn, gives your agents hierarchical memory of your terminology, metrics, and institutional knowledge. New learnings pass through validation gates and administrator approval, ensuring trusted information remains accurate and governed. When a credit officer moves on, their expertise stays within your organization instead of walking out the door.
Hierarchical memory: Four layers of intelligence that separate signal from noise.
Verified learning: Dream Time consolidation reinforces patterns that hold up.
Admin governance: Every learning is reviewable, reversible, and audit ready.
Intelligence that compounds: The more your team uses aidnn, the smarter it gets.
From Messy Data to Clear Decisions
aidnn deploys a team of specialized agents, not a single model, built to handle the complexity of multi-source insurance data with full transparency at every step.
