ZEDEDA Edge Intelligence Platform

Spec sheet

What it does

ZEDEDA Edge Intelligence Platform builds, deploys and operates AI agents, models, applications and infrastructure across distributed edge environments.Read 15 Oct 2026 · zededa.com

API

ZEDEDA exposes a RESTful API with separate services for nodes, applications, networks, storage, jobs, diagnostics, IAM, Kubernetes and orchestration.Read 15 Oct 2026 · help.zededa.com

Agentic solutions

Agentic Solutions package models, Helm charts, configuration, deployment metadata and hardware into reusable blueprints.Read 15 Oct 2026 · zededa.com

Azure integration

Azure integration supports Device Provisioning Service, Azure IoT Edge stack deployment, telemetry, logs and workload consolidation.Read 15 Oct 2026 · help.zededa.com

Cloud and on-premises connectivity

ZEDEDA can connect edge deployments to any cloud or on-premises system.Read 15 Oct 2026 · help.zededa.com

Company facts

LinkedIn lists ZEDEDA as founded in 2016, headquartered in San Jose, California, privately held and employing 51–200 people.Read 15 Oct 2026 · linkedin.com

Company legal name

Crunchbase identifies the company as ZEDEDA, Inc., a private for-profit business.Read 15 Oct 2026 · crunchbase.com

Documentation

The Help Center publishes API specifications, quick starts, installation guides, integration guides, release notes and EVE-OS change logs.Read 15 Oct 2026 · help.zededa.com

Fleet orchestration

Cloud management covers edge-node lifecycle, cluster orchestration, GitOps governance and fleet-wide rollouts or rollbacks.Read 15 Oct 2026 · zededa.com

Funding

A February 7, 2024 announcement reported a $72 million Series C led by Smith Point Capital and more than $127 million raised in total.Read 15 Oct 2026 · markets.financialcontent.com

Hardware benchmarking

Models can be benchmarked on real NVIDIA and Intel edge hardware for latency, throughput, utilization, power, temperature and reliability.Read 15 Oct 2026 · zededa.com

Hardware support

EVE-OS is described as supporting more than 75 hardware types across gateways and industrial servers.Read 15 Oct 2026 · zededa.com

Independent deployment scale

451 Research described ZEDEDA as operating fleets beyond tens of thousands of heterogeneous edge devices and noted its $127 million total funding at the time of publication.Read 15 Oct 2026 · zededa.com

Inference engines

Supported packaged inference engines include OpenVINO, NVIDIA Triton, vLLM and Ollama.Read 15 Oct 2026 · zededa.com

Installation requirements

EVE-OS installation requires physical device access, bootable media and wired Ethernet with port 443 open.Read 15 Oct 2026 · help.zededa.com

Kubernetes service

ZEDEDA maintains a native Kubernetes service with a Kubernetes API endpoint and cached state for intermittent connectivity.Read 15 Oct 2026 · help.zededa.com

Licence

The commercial ZEDEDA Service is proprietary subscription software, while EVE-OS and several ZEDEDA repositories are open source under Apache-2.0.Read 15 Oct 2026 · zededa.com

Limit: deployment complexity

A G2 reviewer reports that the flat deployment structure can hinder grouped or dependent deployments.Read 15 Oct 2026 · g2.com

Limit: diagnostics and documentation

G2 reviewers request longer device-log retention and say complex use cases may require support because documentation is still improving.Read 15 Oct 2026 · g2.com

Limit: user interface

G2 reviewers say some screens need more filtering, sorting, field selection and storage-utilization visibility.Read 15 Oct 2026 · g2.com

Model catalog integrations

The model registry can import from NVIDIA NGC, Hugging Face, AWS, Azure, MLflow and local files.Read 15 Oct 2026 · zededa.com

Model lifecycle

The service provides model import, versioning, lineage, promotion and deployment-stage tracking.Read 15 Oct 2026 · zededa.com

Notable news

ZEDEDA unveiled its Edge Intelligence Platform at NVIDIA GTC on March 16, 2026.Read 15 Oct 2026 · zededa.com

Offline operation

Disconnected or air-gapped nodes retain local control and synchronize security updates after connectivity returns.Read 15 Oct 2026 · zededa.com

Open-source foundation

EVE-OS is governed through the Linux Foundation LF Edge project and is separate from the licensed ZEDEDA Service.Read 15 Oct 2026 · zededa.com

Platform architecture

The platform combines ZEDEDA orchestration, EVE-OS and a partner ecosystem as three integrated pillars.Read 15 Oct 2026 · zededa.com

Praise: security and fleet management

G2 reviewers highlight secure edge operation, device-fleet visibility, application orchestration and management of modern and legacy workloads.Read 15 Oct 2026 · g2.com

Praise: support and responsiveness

G2 reviewers repeatedly praise ZEDEDA support as responsive and willing to incorporate customer feedback.Read 15 Oct 2026 · g2.com

Raspberry Pi requirement

Raspberry Pi deployments require a Pi 4 or 5 Model B with at least 4 GB RAM and a recommended 16 GB or larger microSD card.Read 15 Oct 2026 · help.zededa.com

Rating on G2

4.6 out of 5 from 10 reviewsRead 15 Oct 2026 · g2.com

Rating on Gartner Peer Insights

4.6 out of 5 from 8 reviewsRead 15 Oct 2026 · gartner.com

SDK and automation

API tokens can be used with the ZEDEDA CLI, Terraform provider or a custom client, and Jupyter notebooks are supported for programmatic AI workflows.Read 15 Oct 2026 · help.zededa.com

Security controls

Security features include TPM-rooted identity, measured boot, remote attestation, encryption, firewall and port isolation, and role-based access control.Read 15 Oct 2026 · zededa.com

Terraform limitation

The Terraform provider manages configurations but is documented as not providing monitoring.Read 15 Oct 2026 · help.zededa.com

Workload types

EVE-OS runs containers, virtual machines, Kubernetes and network functions side by side on edge hardware.Read 15 Oct 2026 · zededa.com

Plans and prices

Every ZEDEDA Edge Intelligence Platform plan and price →

Where Specifiction places it

• IoT Edge Platforms#3 of 97.7