How a major financial institution automated 80% of analyst hands-on AML time by deploying AI inside its own secure infrastructure.
AML analyst hands-on time automated
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We deploy in your cloud, in your data center or fully air-gapped. You own the models and the weights, and your team can run the system without us.
Deterministic by architecture. Built for model-risk review.
Request a briefingSovereign you can verify: deterministic, reproducible, air-gapped, quantum-resilient. In production at six of the top-20 U.S. banks.
Six of the top-20
U.S. banks run Frontier Foundry in production. References available under NDA.
10+ hedge funds · 10+ RIAs
Clients, across production deployments and pilots.
Fully air-gapped
Deployed for defense, intelligence and regulatory agencies.
Quantum-resilient
Post-quantum cryptography ships as standard.
See how we verify it →The market is full of "sovereign AI"; Frontier Foundry holds technology vendors to a stricter definition.
Reproducible outputs, versioned models and a full audit trail give your model-risk and examination teams the evidence they ask for, including under SR 26-2.
Runs entirely inside your environment — cloud, on-prem, or fully air-gapped. Your data never leaves your network.
You own the trained models and the weights, and any improvement derived from your data.
Your team can operate, extend and audit the system without us.
Every solution we build is designed to perform under the regulatory, operational, and security constraints your industry demands.
Deploy AI across AML case review, transaction monitoring, risk analysis, and trading workflows with full audit trails, model provenance, and proprietary data that stays inside your infrastructure.
Explore BankingOn-prem AI for asset managers, hedge funds, and CIOs at major banks: Skyra (portfolio intelligence) and Fiducium (multi-manager oversight). Built on Kundi.
Explore Asset ManagementAnalyze operational and member data inside your own systems, with PHI handling designed for HIPAA.
Explore HealthcareRun AI inside government environments, including air-gapped networks, with chain-of-custody logging on every operation.
Explore GovernmentLocal AI runs inside your environment, meaning your data never leaves your network, and you keep the models and weights too.
Every deployment is tied to quantifiable KPIs defined up front with your team.
Systems designed around your specific data, processes, workflows, and regulatory requirements – not generic platforms reconfigured after the sale.
Every decision path is deterministic: the same inputs, model versions and configuration produce the same output, with an audit trail for every operation. Our core models are proprietary and not transformer-based. Where a product offers a natural-language interface, a language model handles the question and drafts the text. It does not make the decision.
SR 26-2 validation pack
Scope analysis, inventory template, conceptual soundness, reproducibility, outcomes monitoring and audit-trail evidence. Available under NDA.
Limni is your institution's own frontier model: trained on your data, running inside your perimeter and owned by you. It governs how every model in your environment runs and gives your people a plain-language interface to the results.
Deploy Limni where data must stay on-premises and outputs must be controlled, auditable, and reliable.
Explore LimniAn ensemble reasoning engine that executes analytical work across documents, policies, and structured data at institutional scale
Kundi runs the analysis: an ensemble of verified algorithms over your documents, policies and structured data, with every step recorded.
Explore KundiHow a major financial institution automated 80% of analyst hands-on AML time by deploying AI inside its own secure infrastructure.
AML analyst hands-on time automated
Multi-strategy hedge fund: Sharpe ratio up 40% in the first year, visible within 3 weeks of launch, fully on-premises. Past performance is not indicative of future results.
Sharpe ratio improvement
Healthcare services organization: more than $7M in measured digital engagement revenue, with all records kept on-premises.
Read the Case StudyFrontier Foundry moves AI from concept to live deployment inside regulated environments, then stays involved through scale and operation by offering SRE support, model monitoring, and periodic evaluations to ensure our systems improve over time.
See How Implementation WorksMap regulatory constraints and operational requirements.
Build and implement inside your environment.
Measure performance against agreed tests before and after release.
Frontier Foundry was founded by leaders with decades of experience building custom AI models, working in regulated industries, and mitigating institutional risk.
We have run technology inside banks, regulators and trading firms, and we build for the reviews those institutions go through.

Founder, Chairman & CEO
Sultan Meghji is Frontier Foundry's founder, Chairman, and CEO, with thirty years at the intersection of AI, cybersecurity, and regulated industry. He is a Non-resident Senior Technical Expert at CSIS and a Visiting Fellow at George Mason University's National Security Institute, and served as the inaugural Chief Innovation Officer of the FDIC. He has advised defense, intelligence and regulatory agencies. Under his leadership, Frontier Foundry has gone from founding in 2023 to production at six of the top-20 U.S. banks, and shipped AutoCEN, Limni, and Kundi into production at banks, hedge funds, and defense, intelligence and regulatory agencies.

CTO
Dr. Roque Martinez is Frontier Foundry's CTO. He leads the platform and has more than 30 years in financial technology, including as CTO of SmartStream. He applies deep expertise in machine learning, data analytics, and AI infrastructure to build secure, custom systems for Frontier Foundry's clients.

Managing Director
Reem Abbassi is Frontier Foundry's Managing Director. She runs client delivery, connecting each client's goals to the engineering plan. Over her 20+ years in financial services, she has led firm-wide automation and AI programs alongside major modernization projects, from enterprise data migrations to OMS implementations.