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AI That Works Inside Institutional Systems
AI systems built to integrate inside the regulated infrastructure used by banks, hedge funds, and asset managers — without disrupting existing workflows.
When AI operates inside institutional systems, organizations gain the ability to reason over financial data at scale while maintaining oversight and control.
Financial Crime Teams
Analyze full AML case volumes with consistent reasoning and explainable outputs.
Portfolio Risk Teams
Surface patterns across proprietary trading data that manual analysis cannot detect.
Compliance Leadership
Evaluate regulatory obligations and institutional exposure with traceable analytical outputs.
Investment Strategy Teams
Apply structured reasoning across complex financial datasets.
Leading banks and investment firms have built sophisticated operating environments over decades.
Frontier Foundry systems are designed to operate within them, integrating directly with institutional workflows and data systems.
Limni: Your Own Frontier Model
Provides a secure control center to orchestrate models and produce outputs.
Kundi
Executes analytical reasoning across financial datasets and documentation.
Kundi runs the analysis. Limni, your institution's own frontier model, governs it and gives your teams a plain-language interface to the results. Together they provide a unified platform that offers banks institutional control while running entirely inside their environment.
Built on Kundi
Financial-crime compliance inside your infrastructure: transaction monitoring, sanctions and crypto screening, KYC/KYB, case management, and SAR and CTR filing.
Explore AutoCEN →Built on Limni
FFIEC 041/051 call-report system for trust banks. Daily extraction, reconciliation, validation, and forecasting; generates filings in XBRL, SDF, and iXBRL from live general-ledger data.
Explore Monui →Built on Limni
A living map of every federal and state obligation a U.S. bank carries: scoped to your charter, overlaid on your operating model, and traced to its governing text.
Explore Bank Assay →Built on Kundi · Not a supervisory rating.
An independent, outside-in rating on every FDIC-insured bank, every quarter. Look up your bank, see the Bank Assay obligations its charter carries, and ask for the deep dive.
Find your bank →Automated Financial Crime Detection at Scale
A bank automated 80% of analyst hands-on AML time and cut false positives by 80% by deploying AutoCEN inside its own secure infrastructure — without a single transaction leaving the network.
Read the Case StudyAML analyst hands-on time automated
Frontier Foundry systems align with the regulatory frameworks governing modern finance. Systems operate with full traceability and audit readiness.
Model risk management (SR 26-2)
Built for model risk programs under the agencies' revised model risk guidance (SR 26-2, April 2026, which replaced SR 11-7 and SR 21-8). Kundi's deterministic decision path, versioned models and a full audit trail provide the evidence validators need for conceptual soundness, ongoing monitoring, and outcomes analysis. A validation pack is available on request.
See what the validation pack includes →NIST AI Risk Management Framework
Our deployments map to the NIST AI RMF functions — Govern, Map, Measure, and Manage — with a control-by-control crosswalk available on request.
Post-quantum cryptography
Post-quantum cryptography protects data, keys, and connections across all of our platforms, using the FIPS-approved algorithms ML-KEM, ML-DSA, and SLH-DSA (FIPS 203, 204, and 205), each verified byte-for-byte against official test vectors.
See how we verify it →SR 26-2 validation pack
Scope analysis, inventory template, conceptual soundness, reproducibility, outcomes monitoring and audit-trail evidence. Available under NDA.
Sovereign cloud, or a sovereign decision system?
Six questions an examiner will ask, compared side by side →