Turn Your Distributed Operations into a Source of Intelligence

The data from your factories, ports, field sites, and retail stores is the lifeblood of your business. Edge Intelligence helps you turn that data into decisions and actions that accelerate your business, influencing everything from safety and uptime to quality and customer experience. With the right edge AI platform, enterprises can:
  • Run autonomous intelligence close to machines, assets, and customers
  • Keep operations running even with limited connectivity
  • Protect models, data, and workloads in untrusted locations
  • Scale what works from one site to thousands with consistency and control
Many organizations struggle to get there because cloud and AI model platforms stop short of the edge, and traditional edge tools weren’t designed for autonomous intelligence across fleets of sites. ZEDEDA closes that gap with edge intelligence purpose-built for real-world operations, informed by years of delivering edge orchestration in demanding environments.

How ZEDEDA Delivers Edge Intelligence

Infrastructure, Inference, and Agents — Unified

ZEDEDA unifies edge infrastructure, inference, and autonomous agents into a single, integrated stack, from operating system and Kubernetes, to models and inference engines, to agent orchestration.

As a result, enterprise AI teams can rapidly create, test, and deploy autonomous edge agents that use any AI model on any edge hardware platform, then manage them with proven, cloud-like orchestration workflows.

Security Designed for Physical Consequences

At the distributed edge, a compromised agent doesn’t just expose data, it can stop a production line, disrupt energy assets, or impact safety systems.

ZEDEDA weaves security into the architecture from the ground up with hardware root of trust, encrypted model storage, centralized access through a secure orchestration API rather than direct device logins, per-application isolation and firewalls, OS immutability, and remote attestation to ensure only trusted workloads run.

Engineered for Deployment at Scale

ZEDEDA takes edge intelligence from strategy to production, enabling enterprises to deploy and operate AI agents across thousands of sites with the same confidence and control they expect in the cloud. 

Automatic inference engine selection, real hardware benchmarking, and GitOps-driven deployment flows ensure models and agents run efficiently and reliably on heterogeneous edge hardware, with approvals and audit trails built in.

Builds on Existing Investments, No Rip and Replace

Edge intelligence depends on both new AI agents and the brownfield applications that have been collecting operational data for years.

Only ZEDEDA runs legacy applications alongside modern containers, models, and agents on the same hardware, so enterprises can modernize without replacing existing systems or fragmenting their infrastructure.

Accelerating Edge Intelligence

ZEDEDA doesn’t just provide a platform; it provides a complete path from idea to production: the Edge Intelligence Platform, Edge Intelligence Labs, and Edge Intelligence Appliances.

Edge Intelligence Labs curates agents, models, blueprints, and hardware based on real-world deployments, and Edge Intelligence Appliances hyperconverge the platform, validated models, certified hardware, and deployment expertise into ready-to-run solutions tailored to your industry and use case.

Why Leading Enterprises Trust ZEDEDA

Global leaders in manufacturing, energy, transportation, and retail trust ZEDEDA to deploy and scale edge intelligence across distributed, security-sensitive environments.

  • Manufacturing: Autonomous agents inspect every item produced, detect defects in real time, trigger robotic responses, and enable predictive maintenance that reduces costly downtime.
  • Energy: Edge AI scans solar panels and wind turbines for defects, monitors flares, and detects gas leaks, triggering immediate local responses to protect assets and workers.
  • Transportation & Logistics: Intelligence at the edge monitors cold chains, orchestrates warehouse robotics, and automates port inspections for damage, identity, and safety compliance.
  • Retail: Edge intelligence powers real-time inventory management, loss prevention at self-checkout, and personalized experiences without relying on cloud latency.

 

These organizations rely on ZEDEDA to power intelligence across their operations, turning edge AI into a repeatable, governed, and scalable capability that drives revenue, efficiency, and resilience.

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Designed for the Most Demanding Edge AI Deployments

Distributed environments introduce constraints cloud systems were never built to handle: remote and often unstaffed sites, intermittent connectivity, heterogeneous hardware, and expanding attack surfaces as AI moves closer to physical operations.

ZEDEDA addresses these realities with security-by-design and enterprise-grade workflows:

  • Hardware-rooted device integrity using TPM-based measured boot and remote attestation before workloads run
  • Encrypted model and data storage so stolen devices cannot expose proprietary AI assets
  • Centralized, API-driven management with no on-device credentials, enforcing strong authentication and least-privilege access
  • Application-level isolation, per-app firewalls, and IO lockdown to prevent lateral movement and block USB- or network-borne attacks
  • Immutable operating system images with digital signing and one-click rollback to maintain reliability and agent integrity at scale

From AI Ambition to Edge Intelligence at Scale

Edge intelligence is how distributed enterprises are operating, competing, and growing in an AI-driven world.

ZEDEDA delivers the platform, applied expertise, and ready-to-run solutions required to create, deploy, and operate autonomous edge AI across thousands of sites, securely, reliably, and at scale.

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