The Edge AI specifications define a modular ecosystem for deploying artificial intelligence closer to where data is generated, enabling faster response times, improved privacy, reduced bandwidth requirements, and greater resilience compared to cloud-only architectures. These specifications support distributed intelligence across edge devices, embedded systems, vehicles, industrial equipment, smart infrastructure, and connected environments by providing frameworks for local inference, hardware integration, storage management, AI validation, and decentralized compute coordination. By moving processing closer to users and physical systems, they enable real-time decision-making while maintaining greater control over data and operations.
Together, these specifications create a foundation for a new generation of intelligent edge infrastructure where AI systems can operate autonomously across diverse environments. From industrial automation and smart devices to automotive intelligence and physical security, the specifications provide reusable building blocks for developers creating privacy-first, sovereign, and scalable AI deployments. The modular approach allows organizations to combine edge runtimes, distributed compute layers, validation frameworks, and domain-specific intelligence modules to build adaptable AI systems without relying exclusively on centralized platforms.
All specifications are released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+) and may be freely used, modified, and distributed with the required attribution provisions outlined in Section 7 of the license. Organizations seeking attribution-free commercial deployment may obtain a Specification Branding License (SBL), with licensing terms and pricing based on the specification category, deployment scope, usage scale, and the size of the network or organization utilizing the specification.
Custos
https://roxanneardary.com/custos/
Custos is an AI-powered physical security infrastructure platform built around edge AI, computer vision, sensors, cameras, and local intelligence processing. It enables privacy-preserving security operations through local video analysis, hardware abstraction, and decentralized deployment models.
EdgeGateway
https://roxanneardary.com/edgegateway/
EdgeGateway is an open modular specification for secure edge device onboarding, identity verification, lifecycle management, and trusted edge infrastructure. It provides a vendor-neutral framework for managing distributed devices through zero-trust security, policy enforcement, monitoring, and interoperable edge operations.
EdgeLens
https://roxanneardary.com/edgelens/
EdgeLens is an open specification for privacy-preserving, edge-first computer vision systems that enable organizations to process sensitive visual data locally while maintaining secure collaboration and scalable deployments. It provides modular vision pipelines, federated learning support, and verification frameworks for trusted AI applications across education, enterprise, and institutional environments.
FlexNode
https://roxanneardary.com/flexnode/
FlexNode is an edge computing storage virtualization specification designed for IoT nodes, embedded systems, and distributed edge environments. It provides a unified storage management layer with pluggable backends, automation, monitoring, and local-first infrastructure support for remote and constrained deployments.
FluxCore Mobility
https://roxanneardary.com/fluxcore-mobility/
FluxCore Mobility is a vehicle edge intelligence platform designed to provide secure, privacy-focused AI processing directly within automotive environments. It supports real-time vehicle analytics, intelligent assistance, and distributed computing closer to where vehicle data is generated.
Horizon Runtime
https://roxanneardary.com/horizon-runtime/
Horizon Runtime is a universal AI execution runtime designed for local, enterprise, and distributed AI deployments. It supports adaptive inference, reasoning workloads, and scalable execution across environments where AI may operate outside traditional centralized cloud infrastructure.
OpenCluster
https://roxanneardary.com/opencluster/
OpenCluster is a federated distributed compute infrastructure specification designed for sovereign AI, community-owned infrastructure, and resilient computing networks. It enables modular compute resources to work together across decentralized environments while reducing dependence on centralized providers.
OpenFabric
https://roxanneardary.com/openfabric/
OpenFabric is an open modular Hardware Abstraction Layer specification providing a universal device layer for interoperable edge computing, AI systems, IoT, and connected hardware ecosystems.
RequestStamp
https://roxanneardary.com/requeststamp/
RequestStamp is a self-hosted edge request identity and decision system that assigns a unique, traceable ID to every request entering your infrastructure, enabling transparent observability and distributed request tracking. With built-in rule evaluation and an explainability engine, it helps developers understand exactly how every request was handled and why.
RoadCraft
https://roxanneardary.com/roadcraft/
RoadCraft is an edge AI mobility system designed for motorcycle intelligence, combining sensors, onboard computing, and real-time assistance capabilities. It processes critical information locally to provide faster responses, safety monitoring, and rider-focused intelligence.
Transitio
https://roxanneardary.com/transitio/
An open, vendor-neutral specification for securely transitioning from cloud computing to Edge AI through modular architecture, hardware abstraction, and human-governed distributed intelligence.
SynchroFab
https://roxanneardary.com/synchrofab/
SynchroFab is an industrial intelligence platform that combines edge computing, IoT, automation, robotics, and AI-driven manufacturing coordination. It enables distributed intelligence across factory environments by connecting machines, sensors, and operational systems.
ValidationOS
https://roxanneardary.com/ai-unit-testing-framework/
ValidationOS is an AI assurance and validation framework designed to test, optimize, certify, and monitor AI models across edge hardware environments. It provides deployment validation, performance tracking, and reliability testing for AI systems operating on distributed and resource-constrained devices.
Vehicle Overlay System (VOS)
https://roxanneardary.com/vehicle-overlay-system/
Vehicle Overlay System (VOS) is an automotive edge computing specification that adds intelligent processing, connectivity, and AI capabilities to vehicles without replacing core vehicle systems. It enables localized vehicle intelligence, sensor integration, and real-time decision support at the edge.
Vendra
https://roxanneardary.com/vendra/
Vendra is a smart device operating system specification for connected retail infrastructure, intelligent vending systems, and autonomous equipment. It supports edge computing capabilities by enabling local device intelligence, hardware integration, monitoring, and real-time operational management.
VeritasVote
https://roxanneardary.com/veritasvote/
VeritasVote is an open-source, modular voting platform designed to provide secure, transparent, and verifiable in-person elections through open hardware, open software, paper-backed ballots, and cryptographic auditing. Built for public trust, VeritasVote enables independent inspection, reproducible builds, and customizable hardware and software modules without reliance on proprietary election systems.
VoltIQ
https://roxanneardary.com/voltiq/
VoltIQ is an open AGPL-3.0+ specification that serves as the energy brain for edge devices, providing intelligent power optimization, adaptive energy management, and energy-aware workload scheduling. Its modular, vendor-neutral architecture enables distributed systems to monitor, analyze, and optimize power consumption locally while supporting battery management, renewable energy integration, and AI-driven energy intelligence.
A Specification Branding License can be purchased for the basket of Edge AI Specs
Edge AI Specifications Basket Pricing:
| Network Size | # of Users | One-Time Price | Duration |
| Small | 1 – 20 | $800,000 | Perpetual License |
| Medium | 21- 1000 | $4,300,000 | Perpetual License |
| Large | 1001 + | Custom Quote | Custom Quote |
