The Foundation of the Agentic Enterprise
Three interconnected layers power Nexastack's Agentic Infrastructure — where AI learns, acts, and governs autonomously with enterprise-grade reliability
Trusted by leading companies and Partners
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Platform Capabilities
The Agentic Control Fabric — Connecting Compute, Intelligence, and Trust
A single control plane that integrates learning, orchestration, and governance — delivering verifiable, adaptive, and policy-aware AI across private and hybrid environments
Agentic Intelligence
Harness enterprise data to train, evaluate, and improve agents through Unified Inference and Reinforcement Learning as a Service — continuously adapting to new signals, safely and securely.
Ensure peak performance with 24/7 continuous monitoring, enabling agents to learn, adapt, and optimize in real time. NexaStack’s secure, scalable framework drives intelligent automation while maintaining safety, reliability, and continuous improvement.
Agentic Orchestration
Compose modular agents into secure workflows with AgenticOps — integrating with cloud, edge, and enterprise systems for seamless, policy-aligned automation
Agentic Governance
Govern how AI learns, acts, and evolves — with built-in Observability, Policy Enforcement, and Private Cloud Compliance to ensure every decision is traceable and accountable
Architecture Layer
Building the Agentic Infrastructure — From Composition to Edge Intelligence
Nexastack unifies agent development, deployment, and optimization through a layered control fabric — enabling enterprises to compose intelligent agents, operationalize them securely, and extend autonomy to the edge
Composable Agent Framework
Create and connect modular agents that collaborate across systems, tools, and models — enabling flexible intelligence tailored to every workflow
AgenticOps Platform
Automate and manage the full lifecycle of agent operations with built-in observability, compliance, and adaptive orchestration for enterprise reliability
Edge Intelligence Factory
Extend autonomous intelligence to the edge with low-latency, context-aware agents capable of local decision-making and continuous optimization
Private Cloud Compute
Private Cloud Compute for Secure, Private AI Processing
Ensures secure and private AI processing by isolating sensitive data within dedicated private cloud infrastructure
AI Vision at Edge
Deploy Nexastack's intelligent visual processing capabilities directly at source locations for instant decision-making and enhanced operational control.
Local visual analytics with zero cloud dependency
Instant processing for rapid response and decision support
Enhanced data security and improved operational efficiency
AI Factory
Transform manufacturing with Nexastack's intelligent automated production systems powered by advanced AI technology.
AI-driven robotics and automated workflows
Real-time quality control and performance tracking
Smart manufacturing with minimal human oversight
AgentOps
Streamline AI agent operations with Nexastack's comprehensive monitoring and management platform for intelligent autonomous systems.
Agent lifecycle management with Nexastack's monitoring dashboard
Real-time analytics and optimization through Nexastack infrastructure
Automated deployment and scaling with Nexastack solutions
Sovereign AI
How Sovereign AI Works
Your data, your models, your control — all managed within your private, compliant domain to ensure enterprise-grade sovereignty and security
Continuous Learning
Agents evolve autonomously through reinforcement feedback loops, adapting to new data, tasks, and outcomes while maintaining safety boundaries
Verifiable Runtime
Experience stateless, tamper-proof execution with cryptographic assurance and zero privileged access — guaranteeing trust and transparency across every operation
Full-Stack Observability
Gain end-to-end visibility across models, agents, and infrastructure — tracing every action, decision, and dependency with audit-ready precision
Enterprise Compliance
Govern AI systems with built-in compliance aligned to ISO, SOC 2, and GDPR standards — ensuring accountability and auditability at every layer
Composable Intelligence
Build modular AI systems that dynamically orchestrate models and agents in your private domain for maximum flexibility and control
AI Agents
Agentic Workflows with Intelligent AI Agents
Deploy agentic workflows across cloud, edge, or private infrastructure — with full observability, policy control, and human-in-the-loop
Integrations
Integrate seamlessly with any sources
Three interconnected layers power Nexastack’s Agentic Infrastructure — where AI learns, acts, and governs autonomously with enterprise-grade reliability.
RL As A Service
Reinforcement Learning as a Service
Continuously improve agents with safe training, simulation, and reward modeling
Model Support
Model Library and Frameworks Supported
Deploy Responsibly with AI Quality and Goverenance
Ray
Flyte
PyTorch
Keras
ONNX Runtime
vLLM
DeepSpeed
DeepSeek
Llama
Mistral AI
Stable Diffusion
Whisper
Use Cases
Featured Use Cases
Explore how Nexastack powers autonomous workflows across industries — from smart manufacturing and robotics to finance, insurance, semiconductors, and shipping
Customer Service
AI agents resolve customer queries via voice/chat, escalate, and complete transactions across languages
Loan Collection & NPA Follow-Up
AI agents automate follow-ups with defaulters using personalized, multi-lingual, and analytics-driven outreach
Personalized Financial Advisors
AI agents monitor customer data and news to recommend personalized investments and savings actions
Risk & Compliance Automation
AI continuously scans transactions/docs for compliance and regulatory risks (AML, KYC, FATCA, etc.)
Equipment Monitoring
Real-time monitoring and prediction of asset failures to maximize uptime
Quality Control & Inspection
Automated product/process inspection and quality validation
Production Scheduling & Optimization
Dynamic scheduling to maximize resource utilization and on-time delivery
Yield Analytics & Loss Reporting
Analyze production yield/loss to pinpoint bottlenecks and efficiency gaps
Data Fabric
Integrates data from police records, dispatch, 911 calls, surveillance, IoT sensors, and public databases into a unified, real-time platform for analytics and rapid decision-making
IoT
Connects surveillance cameras, bodycams, patrol vehicles, drones, environmental sensors, and alarms to provide real-time situational awareness, automatic alerts, and remote response capabilities
Private Cloud AI
Hosts sensitive law enforcement and public safety analytic such as facial recognition, crime prediction, and emergency dispatch on a secure private cloud for data security and compliance
Digital Twin
Creates a virtual replica of city infrastructure, traffic systems, and emergency response networks to simulate incidents, predict outcomes, and optimize resource allocation
RL as a Service
Providing a platform that enables aerospace companies to train, deploy, and manage reinforcement learning (RL) models for solving complex operational challenges
Fleet & Equipment Health Monitoring
Real-time monitoring of aircraft/fleet systems for predictive maintenance and uptime
Predictive Maintenance Scheduling
Forecast maintenance needs for airframes, engines, or ground equipment to avoid delays
Supply Chain & Parts Traceability
Track aircraft parts and materials from supplier through installation and service life
Surveillance & Threat Detection
Analyze city/CCTV feeds and bodycam footage for threats and suspicious activity
Automated Incident Reporting & Documentation
AI-assisted creation and archiving of police incident and arrest reports
Predictive Policing & Crime Analytics
Analyze crime and call data to anticipate hotspots, deploy patrols, or allocate resources
Evidence Management & Traceability
AI links and catalogs evidence across cases, automates chain of custody records
Vision AI Platform and Model Management
Centralized platform for deploying, updating, and monitoring AI/ML vision models on drone fleets
Edge AI
AI models run directly on drones (onboard edge devices), enabling real-time decision-making and analytics even in low/no connectivity environments
Autonomous Flight & Mission Planning
AI automates drone flight path, scheduling, and mission execution for routine tasks
Visual Inspection & Defect Detection
Drones capture and analyze imagery/video for infrastructure, crops, or asset inspection
Model Management
Centralized management and governance of AI/ML models running on robot arms/cells—covering deployment, updates, performance, and compliance across sites
Enterprise Workflow Management
Integration and automation of end-to-end workflows involving robots, humans, and other machinery—covering scheduling, hand-offs, and exception handling
Data Fabric
Unified architecture provides seamless access, integration, and analytics for all robotic sensor, log, and video data—across different robot types, plants, and systems
IoT
Live connectivity and management of robots and their embedded sensors, enabling remote health monitoring, telemaintenance, and coordinated operation
ROI
Accelerated Value, Higher ROI
Maximize returns with faster resolutions, optimized infrastructure, and measurable business outcomes
Deployment Options
NexaStack powers agentic workflows, end-to-end observability across on-premises, cloud, and hybrid environments—with data residency, RBAC, and SOC2/ISO readiness
