ZEDEDA

In this clip, ZEDEDA CEO Said Ouissal walks through the enterprises running on the Edge Intelligence Platform in production: SLB across oil and gas exploration and drilling, A.P. Moller - Maersk across 600 ships, BOBST's industrial machines, Emerson's DeltaV edge solution in refineries and chemical plants, and PV HARDWARE LLC's solar farms around the world. We're proud to support some of the largest enterprises in the world. https://lnkd.in/eeF-5nG7

ZEDEDA and SecEdge are giving ARM-based edge devices a hardware root of trust they were never built to have. ARM processors dominate the edge for their power efficiency, and the vast majority ship without a discrete Trusted Platform Module. Without that hardware anchor, operators can't remotely prove a device hasn't been tampered with before it boots, which becomes a real liability once autonomous AI is running on factory lines and pipelines. SecEdge's SEC-TPM solves this in firmware. It's a TCG TPM 2.0-compliant module that runs in an isolated environment on the device's own processor and deploys as a firmware update to hardware already in the field, with no hardware swap or supply chain disruption. Because it lives in firmware, it can be updated to support next-generation encryption as threats advance, which a soldered-in chip can never do. Built into the ZEDEDA Edge Intelligence Platform, this brings TPM-level device attestation and secure boot to a customer's entire ARM fleet from a single control plane. A second phase extends the same protection to the AI models themselves, keeping high-value IP encrypted and unextractable even at unmanned sites. BriefGlance.com broke down what this means for securing edge AI: https://lnkd.in/eWNX7iZ2

No crystal ball required. 🔮 Predictive maintenance at the edge means AI models running close to the equipment, on the factory floor, at the wellhead, inside the pump, processing sensor data locally and flagging issues before they become failures. ZEDEDA deploys, monitors, and updates predictive AI models across distributed fleets from a single pane of glass — even in air-gapped or intermittent connectivity environments.

TRANSFORM 2026 is live. ZEDEDA's flagship edge intelligence event lands in Houston on September 15 and Frankfurt on October 22, built for the people running AI in real-world operations. Our call for speakers is open through July 31. If you're deploying AI in distributed or industrial environments and have field lessons to share, we want your proposal. That's the headline of this month's Edge Intelligence Monthly. This edition also covers ZEDEDA's new work with Lenovo Crosswave and SecEdge, a technical look at fitting 4.4x more context on NVIDIA Jetson with TurboQuant, and outside coverage on why AI's center of gravity is moving toward the edge.

At 10 devices, manual device management is annoying. At 10,000, it's a liability. ZEDEDA's Edge Intelligence Platform gives distributed operations teams full lifecycle control over their edge fleet from a single pane of glass — provisioning, updates, security, and visibility — across any hardware, any connectivity, anywhere in the world. No on-site visits required.

Transform 2026 is official! 🟢 Two cities, two dates, one conversation about where AI meets the physical world. 📍 Houston, Texas — September 15 📍 Frankfurt, Germany — October 22 Transform brings together practitioners and technical leaders who are deploying AI in distributed, operational, and industrial environments. We're looking for speakers with real deployment experience, operational lessons learned, and a point of view on where edge intelligence is headed. Submit your speaking proposal: https://bit.ly/4f1Eac8

Exciting news! ZEDEDA is now part of the Lenovo Crosswave OEM Partner Program. 🎉 Crosswave bundles Lenovo's validated edge hardware with vetted ISV applications into turnkey, industry-ready solutions. ZEDEDA provides the orchestration layer: consistent deployment, centralized control, and lifecycle management across every node. For manufacturers, energy operators, retailers, and logistics teams, that means edge intelligence arrives as a pre-validated stack, not a months-long integration project. This is a big step in how ZEDEDA reaches enterprises at scale — and how enterprises get to edge AI faster. https://lnkd.in/gB6qZFX7

A whole lot of the world's operational data is generated in places where decisions 𝗵𝗮𝘃𝗲 to happen in milliseconds. This quandary is the reason enterprises across energy, manufacturing, and logistics are pushing AI out of the cloud and into the places where their business actually runs. AI at the edge works. What's hard is scaling it. Deploying and managing models across hundreds or thousands of remote sites, keeping them updated in the field, and doing all of it securely without disrupting operations that can't afford downtime. When AI needs to operate autonomously, inspecting products on a manufacturing line, managing energy output at a wind farm, coordinating autonomous systems across a logistics network, it needs to run where the action is. Every major era of computing has been defined by an infrastructure buildout. The AI era is needs to be building the infrastructure to run intelligence in the physical world. That's exactly what Said Ouissal and our whole team at ZEDEDA are focused on.

An automaker built a brilliant AI service center application. Three years of engineering. Running beautifully at 10 dealerships. Then they tried to scale it to 12,000 locations. That's where every edge AI story gets interesting — and hard. ZEDEDA CEO Said Ouissal wrote about why that gap between building something smart and deploying it where business actually runs is the central challenge of AI right now, and why the next wave of infrastructure investment is moving toward the physical edge. Full piece on Unite.AI 👇

Security at the edge isn't just an IT concern. When autonomous systems are running on factory floors, remote pipelines, and distributed sites, a compromised node or hijacked network path is an operational risk. Through ZEDEDA's partnership with OpenVPN Inc., CloudConnexa is available directly in the Edge Marketplace. This brings private overlay networking, identity-based access control, IDS/IPS, and content filtering onto edge nodes in minutes, across a single node or an entire fleet. AKA zero trust security without the truck rolls.