VisionAery

    VisionAery Platform · Aery Device Manager

    On-Prem Control Plane

    Operate edge AI across the whole fleet — from one console you own

    The fleet management plane behind every VisionAery deployment. Mass model and configuration push, staged rollouts, per-site tuning, OTA updates, and continuous device health — running on hardware you own, behind your firewall. No SaaS in the alarming path.

    Online · Reporting
    VisionAery fanless industrial edge AI appliance — heatsink-cooled, dual-NIC, GPU-accelerated

    The Problem

    Edge AI is only useful if you can run it across a fleet

    A single edge box on a single pad is a science project. A hundred boxes across forty sites in four regions is an operations problem — and it's the one most industrial AI deployments quietly fail at. Models drift, configs fork, a scene that worked last quarter doesn't this quarter, and nobody has the audit trail to explain why. Truck rolls multiply, and the alarming path becomes the part everyone is afraid to touch.

    The Aery Device Manager is the control plane that makes large edge-AI fleets actually operable — staged model and config push, per-site tuning, OTA updates, and continuous health telemetry. It runs on hardware you own, behind your firewall: no VisionAery SaaS in the alarming path, no operator video leaving your network, no vendor account holding the keys to your fleet.

    visionaery / fleetSample data
    On-Prem

    Devices

    248

    online

    Sites

    63

    regions: 4

    Uptime

    99.97%

    30d

    Live Fleet

    Eagle Ford · Pad 14-Av2.4.1synced 2m
    Permian · Tank Battery 7v2.4.1synced 3m
    DJ Basin · Compressor 3v2.4.0update pending
    Bakken · SWD-22v2.4.1synced 1m
    Haynesville · Pad 9v2.4.1synced 4m
    Illustrative · VisionAery Fleet ConsoleAll regions healthy

    How Rollouts Work

    A fleet-wide change, without the fleet-wide risk

    Every model build, tuning change, and config update moves through the same staged pipeline — a small first batch, health-gated batches, and a one-click path back. Nothing hits the whole fleet at once, and nothing advances until the last batch proved healthy.

    01

    Stage

    Pick a versioned model or config and a target — one site, a region, a tag-based group, or the whole fleet.

    02

    Test batch

    The update goes to a small first batch of devices — never the entire fleet at once.

    03

    Health gate

    Devices must clear post-deployment health checks before the next batch is allowed to advance.

    04

    Advance

    Batches roll forward automatically as each one reports healthy, with a full audit trail.

    05

    Rollback

    A regression or failed check reverts in seconds — one click, no truck roll.

    Capabilities

    Six capabilities that define the plane

    Everything an operations team needs to deploy, tune, update, and audit an edge-AI fleet across many sites — from one console, on hardware you own.

    Mass model & config push
    01
    Deploy

    Mass model & config push

    Push a new model build, tuning change, or config update to one site, one region, or the entire fleet from a single pane. Every push is rolled out to a small first batch of devices, versioned, and reversible — a regression rolls back in seconds, not a truck roll. Update windows, blackout dates, and per-region staging are first-class controls.

    Per-site, per-camera analytic tuning
    02
    Tune

    Per-site, per-camera analytic tuning

    Every scene is different — a stack flare isn't a refinery flare, a snowy tank at night isn't the same tank at noon. Operators tune sensitivity, dwell time, ROI masks, and time-of-day and weather-conditioned thresholds per camera from the console, no tech on the pad. Tuning ships through the same staged pipeline as model updates.

    Fully on-prem control plane
    03
    Own

    Fully on-prem control plane

    The management plane runs on hardware you own, behind your firewall — no VisionAery SaaS in the alarming path and no operator video leaving your network. It integrates with your existing identity provider (Active Directory / LDAP / SAML) and security stack as a tenant inside your operations network, not a service on someone else's infrastructure.

    Device health & OTA updates
    04
    Update

    Device health & OTA updates

    Every box reports CPU, GPU, thermal, storage, network, and model state in real time. Firmware and software ship over-the-air through health-check gates: a device must report healthy before the next batch advances, and a failed post-update check rolls back automatically. Out-of-policy devices flag for review before they become an alarm-path failure.

    Version control for the edge fleet
    05
    Audit

    Version control for the edge fleet

    Model versions, analytic configs, and per-site tuning are version-controlled artifacts. Every change carries an author, timestamp, reason, and a diff against the previous state — a site that worked last quarter and doesn't this quarter has an auditable history, not a war story. That versioning is what makes multi-region fleets safe to operate.

    Security posture by default
    06
    Secure

    Security posture by default

    Edge devices ship with disk encryption, signed firmware, certificate-based mutual TLS to the control plane, and a default-deny network posture. Inbound from the WAN is closed; outbound is restricted to the on-prem control plane and approved destinations — aligning cleanly with IEC 62443 zone-and-conduit segmentation, enforced at the firewall.

    Frequently asked questions about the Aery Device Manager

    Make your edge AI fleet actually operable

    Send us a fleet sketch — site count, devices per site, region layout, and the analytic mix. We'll come back with a deployment architecture and a real number, usually within one business day.