Edge Intelligence. Real World Operations.
ZEDEDA delivers real-time intelligence to your operations wherever they run, so every decision happens with the speed and precision your business demands.
Start with proven AI models, agents, and blueprints drawn from Edge Intelligence Labs, curated and validated for real-world deployments.
Maintain autonomous operations at scale with continuous monitoring, security and control.
Use natural language to communicate with the agent, query agent performance, gain visibility, and adjust agent behavior in real time.
Edge AI in Action
- Agents monitor production lines in real time, flagging defects the moment they occur.
- Agents monitor wind turbines in real time, detecting blade damage and equipment faults before they take turbines offline.
- Agents manage inventory in real time, prevent loss at self-checkout, and personalize customer experiences.
- Agents scan passing trains for wheel defects and excess heat before they cause delays or damage.
A Trusted Platform Module (TPM) verifies device integrity before any workload runs, ensuring hardware hasn’t been tampered with and starts in a known, malware-free state.
AI models are encrypted at rest so that even if a device is stolen, proprietary models cannot be decrypted or misused, protecting your most valuable IP.
Direct login to edge devices is eliminated. All management flows through a secure orchestration API with strong authentication and centralized control.
Application-level isolation and port restrictions prevent lateral movement and block malware introduced via USB or network connections.
OS immutability, digitally signed EVE-OS images, and remote attestation ensure agents run only trusted code and behave exactly as intended, consistently and verifiably.
Edge Intelligence in Action
ZEDEDA moves edge AI from business need to real-world production across your operations, securely and at scale.
Intelligence Where Your Business Operates
Enterprises use ZEDEDA to create, deploy and scale autonomous edge AI across distributed operations, from factory floors and field sites to retail stores and shipping vessels.
Imagine:
- Real-time decisions at the edge where latency, bandwidth, and connectivity are real constraints.
- AI agents that execute tasks, respond to events, and coordinate actions in real time, close to the systems and environments they impact.
- Autonomous operations that continue running reliably across thousands of locations, even without onsite staff or cloud connectivity.
- Security that protects devices and workloads as intelligence moves closer to physical operations.
- Scale across thousands of sites where intelligent workloads must be deployed, updated and governed consistently without multiplying operational complexity.
How it Works
ZEDEDA handles the full edge AI stack, from hardware to agents, so your team can focus on business outcomes, not infrastructure management. From orchestrating hardware to running AI models to operating autonomous agents, everything works together as an integrated system.
Edge Intelligence Labs
Real-world expertise, ready to deploy
Edge Intelligence Labs is ZEDEDA’s dedicated team of edge AI experts ready to help enterprises get started fast and scale what works. Bring a use case like “improve yield in my factory,” or “detect equipment failure before it happens,” and Labs responds with curated models, agents, and proven approaches drawn from real-world deployments.
Labs delivers:
- Applied guidance to move from idea to deployment faster
- A growing catalog of models, agents, blueprints and hardware configurations validated for the most common industrial use cases.
ZEDEDA Edge Intelligence
Zero-Compromise Security by Design
The distributed edge carries cybersecurity risks that exceed traditional computing environments. At ZEDEDA, security by design is woven into the architecture from the ground up.
- Hardware root of trust
- Encrypted model storage
- No on-device credentials
- Per-application firewalls and I/O lockdown
- Autonomous agent integrity
Proven in the Real World
ZEDEDA’s customers are already running autonomous AI across distributed operations, deploying models in the field, modernizing industrial environments, and scaling computer vision at the edge.