Applied AI Research for Regulated Systems

Multimodal intelligence, secure inference systems, and research-grade automation for healthcare, government, finance, infrastructure, and national security.

Core Capabilities

Multimodal Intelligence Systems

Unified reasoning engines combining structured data, video, audio, clinical signals, documents, and real-time telemetry.

Cross-modal modeling Secure inference Operational tuning

Secure Inference & Regulated AI Deployments

Privacy-preserving AI infrastructures with cryptographic auditability, zero-trust inference, and domain-grade compliance controls.

Zero-trust inference Protected data paths Lifecycle governance

Autonomous Decision Systems & Agentic Workflows

AI agents that route, escalate, triage, and coordinate mission-critical workflows across enterprise environments.

AI agents Hybrid logic Operational copilots

Predictive Modeling, Forecasting & Simulation

Probabilistic forecasting engines for clinical, industrial, energy, financial, and infrastructure operations.

Risk modeling Energy & supply chains Agent-based simulation

Real-Time Detection & Anomaly Intelligence

Continuous detection of threats, failures, identity risks, and operational anomalies across physical and digital systems.

Deepfake detection Identity scoring Sensor intelligence

Scalable Infrastructure & Data Foundations

High-reliability ingestion pipelines, unified data layers, and strong lineage controls for enterprise-scale AI deployments.

Unified data layers Lineage enforcement Interoperability