Research

Publications & Specifications

FORGE OS specifications, case studies, white papers, and technical blog posts from 577 Industries.

FORGE OS v2.0

System Specifications

Five peer-reviewed specifications define the FORGE OS architecture — from the shared orchestration spine to each subsystem's internal design.

Specification

FORGE OS Spine — Agent-Legible Orchestration Layer

The shared orchestration backbone that unifies Core, Memory, QBit, and Kinetic into a single agent-legible operating system.

Spine

Specification

FORGE OS Core — Staged Post-Training Architecture

Enterprise post-training infrastructure for foundation models with ontology-grounded retrieval and causal model routing.

Core

Specification

FORGE OS Memory — Thread-Aware Retrieval & Knowledge Intelligence

Operational memory with AMAE architecture, dual-stream fusion, and deterministic citation for auditable intelligence.

Memory

Specification

FORGE OS Crypto — Quantum-Resilient Security & Physics-Constrained Computing

Post-quantum cryptography, physics-informed neural networks, and quantum machine learning for mission-critical security.

QBit

Specification

FORGE OS Kinetic — Embodied AI & Autonomous Systems

Robotics AI powered by Cosmos world foundation models with DAWM, hierarchical policy architecture, and fractal swarm coordination.

Kinetic

Library

All Publications

Subsystem:

Case StudyU.S. Army

IRIS — Sparse-Data ISR AI

55% detection improvement for the U.S. Army using edge-optimized deep learning in contested ISR environments.

Core

55% detection improvement

Case StudyU.S. Navy

LANTERN — CNL Data System

NLP-powered electronic intelligence track exploitation and analyst augmentation for the U.S. Navy.

Memory

NLP-powered ELINT

Case StudyPort of Cleveland

Port of Cleveland — Maritime Domain Awareness

92% anomaly ID accuracy for maritime operations, security monitoring, and logistics optimization.

CoreMemory

92% anomaly ID accuracy

Case StudyRogue Fitness

Rogue Fitness — Predictive Maintenance

30% downtime reduction through AI-driven equipment health monitoring and lifecycle optimization.

CoreMemory

30% downtime reduction

Case StudyU.S. Army

Army Radar — AI Enhancement

20–40% detection increase via deep learning for next-generation radar signal processing in cluttered environments.

Core

20–40% detection increase

Case StudyNationwide Insurance

Nationwide — Real-Time Fraud Detection

50% fraud reduction through real-time transaction monitoring with explainable AI.

CoreMemory

50% fraud reduction

Case StudyU.S. Space Force

SATWATCH — Space Situational Awareness

95% detection accuracy using physics-informed neural networks for satellite behavior anomaly detection.

CoreQBit

95% detection accuracy

Case StudyCity of Columbus

Smart Cities — Columbus Infrastructure

35% maintenance reduction through IoT sensor fusion and predictive analytics for critical infrastructure.

CoreMemory

35% maintenance reduction

Case StudyU.S. Army

ARC Nano — Edge AI Electronic Warfare

Edge AI electronic warfare system with >99.9% availability and <100ms latency on a single-board computer.

CoreKinetic

>99.9% availability

Case StudyDARPA

PINNs — Physics-Informed Neural Networks

How PINNs constrain AI models with physical laws for higher accuracy with less data in defense applications.

QBit

Physics-constrained AI

Case StudyU.S. Navy

PQC — Post-Quantum Cryptography for Naval Systems

Quantum-resilient cryptographic systems ensuring communications security at 2.74x faster than RSA.

QBit

2.74x faster than RSA

White Paper

Sparse-Data Learning with HPC

High-performance computing approaches for training AI models with limited labeled data in defense contexts.

Core

White Paper

The COTS Integration Advantage

How commercial off-the-shelf platforms accelerate defense AI deployment by 3–8x.

Core

Blog

Why RAG Beats Fine-Tuning for Business Knowledge

When companies want AI that knows their business, they face a critical architecture decision. Here's why retrieval-augmented generation wins.

Memory

Blog

The Hidden Cost of Unanswered Questions

The average knowledge worker spends 47 minutes finding an answer that already exists. Here's what that actually costs your organization.

Memory

Blog

5 Signs Your SMB Needs a Knowledge AI

Not every company needs AI. But if you recognize these five patterns, you're probably losing money to a solvable problem.

Memory

Blog

The Convergence Imperative

Why the intersection of AI, robotics, and physics is where the next decade of innovation lives.

Kinetic

Blog

Edge AI in Contested Environments

Deploying inference at the tactical edge when cloud connectivity is denied.

Core

Blog

Explainable AI for Mission-Critical Decisions

Why black-box models fail in defense and how XAI solves the trust problem.

Core

Blog

Scaling Down to Scale Up: The Higgs Boson

How particle physics techniques inform AI model compression and edge deployment strategies.

Core

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