What You Gain with Agent Runtime
Provides a uniform runtime for Physical AI agents on edge and cloud, managing resources, hardware abstraction, and lifecycle operations seamlessly
Enables communication, task distribution, state synchronization, and load balancing so multiple agents work efficiently without conflicts
Enforces policies, operational boundaries, and constraints while logging actions to ensure compliance and safe execution at all times
Maintains detailed logs, monitoring, and reporting to provide full transparency, track actions, and support regulatory or operational audits
Key Capabilities
Unified Execution Across Environments
Run agents consistently across edge devices, on-prem servers, and private or public clouds, ensuring identical behavior in any infrastructure
Multi-Agent Coordination
Enable agents to collaborate through messaging, shared state, distributed tasks, and failover mechanisms, building coordinated systems instead of isolated agents
Policy-Based Governance
Enforce runtime rules, action boundaries, resource quotas, access control, and compliance to ensure safe, predictable, and auditable agent operations
Lifecycle Management & Observability
Deploy, update, scale, and retire agents with rolling updates, metrics, structured logging, distributed tracing, and real-time dashboards for full operational insight
Trending Features to Help Industry
Unified Execution for Physical AI Agents
Nexastack’s Agent Runtime provides a consistent environment for deploying and managing Physical AI agents across edge and cloud, ensuring predictable performance and unified control for industrial and enterprise applications
Multi-Agent Coordination Framework for Complex Systems
Coordinate thousands of autonomous agents through built-in messaging, state synchronization, and task distribution — enabling seamless collaboration in robotics, logistics, and manufacturing environments
Runtime Governance and Safety Controls
Integrate real-time policy enforcement, access control, and operational boundaries directly into the runtime layer to ensure safe, auditable, and compliant agent execution
Observability and Lifecycle Intelligence for Agents
Gain full visibility into every agent’s behavior with structured logging, performance metrics, and distributed tracing — enabling faster debugging, optimization, and compliance validation
Featured Use cases
Robotics
Sovereign Data Fabric for Edge
Build a Sovereign Runtime Fabric for Robotics to Enable Secure, Real-Time Orchestration of Autonomous AI Agents Across Edge and On-Prem Environments
Discover More
AI Model Deployment
Vision AI Quality Assurance
Optimize Factory Quality with Nexastack’s Agent Runtime for Secure, Scalable, and Governed Vision AI Inspection
Discover More
Semiconductor
Digital Twin and Process Simulation
Digital Twin and Process Simulation Powered by Nexastack’s Agent Runtime for Real-Time Optimization
Discover More
Manufacturing
Predictive maintenance for Equipment
Predictive Maintenance with Nexastack’s Agent Runtime for Reliable, Efficient, and Autonomous Equipment Operations
Discover More
Trusted by leading companies and Partners
.svg){kind=small}
Related Resources and Blogs
Architecting Multi-Agent AI Systems Using RLaaS and AgentOps
Build intelligent Multi-Agent AI Systems using RLaaS and AgentOps for scalable learning, automation, and coordinated decision-making
Explore Further
Agent Governance at Scale: Policy-as-Code Approaches in Action
Agent Governance at Scale Policy-as-Code Approaches in Action ensures compliance automation transparency and governance for AI systems
Explore Further
