How a major financial institution automated 80% of AML workflows by deploying AI inside its own secure infrastructure.
AML workflows automated
Custom AI systems designed, deployed, and operated within your secure infrastructure.
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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.
Learn moreDeploy AI to analyze clinical and operational data within secure healthcare systems while operating within HIPAA and PHI handling guidelines.
Learn moreOperate AI inside sensitive government environments to support data analysis, decision-making, and mission-critical workflows while air-gapped deployment options and full chain-of-custody logging keeps classified information secure.
Learn moreLocal AI runs inside your environment, meaning your data never leaves your network.
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.
All outputs are predictable, mathematically deterministic, and auditable, making our solutions suitable for executive decision making and regulatory examination.
Limni runs, governs, and orchestrates AI models inside secure environments through a simple LLM interface.
Deploy Limni where data must stay on-premises and outputs must be controlled, auditable, and reliable.
Learn MoreAn ensemble reasoning engine that executes analytical work across documents, policies, and structured data at institutional scale
Deploy Kundi to surface insights, identify risks, and support complex decision-making where human expertise cannot scale.
Learn MoreHow a major financial institution automated 80% of AML workflows by deploying AI inside its own secure infrastructure.
AML workflows automated
How a Leading Hedge Fund Achieved a 40% Sharpe Ratio Improvement — Without Touching the Cloud.
of investment outcomes improved
Sovereign Intelligence at Scale — A federal agency consolidated classified analysis pipelines using Frontier Foundry inside an air-gapped environment.
Learn MoreHow a healthcare organization increased digital engagement while reducing operational costs through AI deployed inside regulated systems.
Learn MoreFrontier 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.
Learn MoreMap regulatory constraints and operational requirements.
Build and implement inside your environment.
Evaluate performance to guarantee system reliability at scale.
Frontier Foundry was founded by leaders with decades of experience building custom AI models, working in regulated industries, and mitigating institutional risk.
This firsthand experience gives us a deep understanding of the regulatory, political, and operational realities that determine whether AI deployments succeed or fail

Founder & CEO
Sultan Meghji is Frontier Foundry's founder and CEO, with thirty years at the intersection of AI, cybersecurity, and regulated industry. He served as the inaugural Chief Innovation Officer of the FDIC and has advised the CIA, FBI, Federal Reserve, and U.S. Treasury. Under his leadership, Frontier Foundry has grown from incorporation to seven-figure revenue in eight months, and shipped AutoCEN, Limni, and Kundi into production at banks, hedge funds, and federal agencies.

CTO
Dr. Roque Martinez is Frontier Foundry's CTO and the visionary behind its AI platform, bringing over 30 years of fintech experience and a tenure 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, translating client goals into engineering work that delivers. Over her 20+ years in financial services, she has spearheaded firm-wide automation and AI initiatives alongside major modernization projects, from enterprise data migrations to OMS implementations.