Distributed AI Systems Infrastructure

Control and Scale
AI Models across Distributed
Systems

Zatom provides infrastructure to deploy, orchestrate and monitor AI models across distributed systems, with a unified control layer in real time at scale.

AI Model DeploymentModel OrchestrationControl Model UpatesReal-Time MonitoringPerformance MonitoringDistributed ExecutionAI Model DeploymentModel OrchestrationControl Model UpatesReal-Time MonitoringPerformance MonitoringDistributed Execution
Core Product

Nexus —
The Control Layer
for distributed AI systems

Nexus is Zatom's core platform for managing AI models across distributed systems. It provides a unified control layer to deploy models, control where they run, push updates in real time, and monitor performance across devices and environments.

"Control every model. On every system. In real time."
01
Distributed Deployment
Deploy AI models across systems and devices from a centralized control layer.
02
Model Placement
Control where models run across distributed environments and physical devices.
03
Real-Time Updates
Push model updates instantly across systems without downtime.
04
Performance Monitoring
Track model performance and behavior across all deployments in real time.
Faster
Model Deployment
Seamless
Model updates
Update
Seamless real-time rollouts
Continuous
Live Metrics
Applications

Real-World
Use Cases

Zatom enables AI models to run reliably across distributed systems and real-world environments where deployment, updates, and performance need to be controlled at scale.

01
↗
Smart Manufacturing
Deploy and update AI models across machines and production lines, with real-time monitoring of performance and system behavior.
→ Reduced downtime, optimized operations
02
↗
Robotics Systems
Control where AI models run across fleets of robots, with coordinated updates and real-time feedback loops.
→ Reliable, scalable robot coordination
03
↗
Edge Device Networks
Deploy models across distributed edge devices and manage updates without disrupting live systems.
→ Consistent performance across devices
04
↗
IoT Infrastructure
Run AI models across connected sensors and systems, with centralized control and performance visibility.
→ Smarter, responsive systems
05
↗
Live Model Operations
Monitor model performance and behavior continuously across distributed environments in real time.
→ Immediate insights and issue detection

Built for
Real-World AI
Systems

01
Beyond Deployment
Full Lifecycle Control.
Deploy, update, and monitor AI models across systems with complete control over their lifecycle.
02
Beyond the Cloud
Runs Everywhere.
Operate AI models across distributed systems, devices, and real-world environments seamlessly.
03
Beyond Visibility
Real-Time Insights.
Track model performance and system behavior continuously across all deployments.

Zatom brings control, updates, and visibility to AI models across distributed systems.

Mission

To build the infrastructure that enables distributed intelligent systems to operate seamlessly in the real world.

Vision & Direction

A world where AI models run reliably across systems and devices, with full control, continuous updates, and real-time visibility.

→The control layer for distributed AI systems
→Standardizing how AI models are deployed and managed
→Enabling AI to operate beyond the cloud
Nexus.Early Access

Run AI Anywhere.
Control It From One Place.

Deploy, update, and monitor AI models across distributed systems with Nexus.