Quantified outcomes from the
front lines of enterprise AI.

Accelerating Fixed-Income Portfolio Risk Modeling with InnoCore Sovereign RAG

A global bank with $1.4T AUM was hampered by 40+ hour turnaround times for complex fixed-income portfolio risk evaluations and SEC compliance audits across disparate research desks.

Engineered a sovereign InnoCore RAG cluster and autonomous multi-agent validation fabric across private AWS GovCloud enclaves with zero external vendor retention.

72% Cycle Time Reduction in Global Oncology Clinical Trial Protocol Formulation

Manual literature synthesis across PubMed and complex cohort inclusion/exclusion parsing caused months of costly patient recruitment delays across 40+ international hospital trial sites.

Deployed a private biomedical InnoCore RAG pipeline and autonomous trial criteria parsing agent inside an on-premise HIPAA-compliant Kubernetes enclave with zero PHI exfiltration.

Sub-12ms Multi-Sensor Edge Telemetry in Satellite-Denied Tactical Enclaves

Autonomous airborne and ground platforms required real-time sensor fusion and anomaly classification operating in contested, electromagnetic-spectrum-denied operational theaters without cloud connectivity.

Delivered an embedded, quantized InnoCore and InnoFlow agentic fabric capable of sub-12ms local inference with 100% offline survivability, SHA-256 weight hash validation, and CMMC Level 3 compliance.

Predictive Substation Failure Prevention with Sub-Second SCADA Telemetry Mesh

Managing 12,000+ substations with legacy SCADA telemetry led to intermittent regional outages and millions of dollars in emergency equipment replacement expenses.

Architected an InnoData real-time vector mesh and InnoFlow autonomous agent supervisor that monitors high-frequency transformer vibration, thermal signatures, and phase telemetry.