One Cloud Platform.Full Visibility.Zero Chaos.

Take Control of every
AV & UC Space

Tame the chaos by bringing every AV, UC, and IT system into a Single Pane of Glass.

Trusted by Leading Organisations

Trusted by universities, enterprises, and public-sector organisations to manage AV and UC environments at scale.

  • NSW eHealth
  • University of Cambridge
  • Imperial College London
  • Stanford University
  • University of Sydney
  • La Trobe University
  • Victoria Department of Education
  • St George
  • Australian National University
  • UNSW
  • Edith Cowan University
  • Curtin University
  • City of Newcastle
  • University of the Sunshine Coast
  • University of Queensland
  • University of Michigan
  • University of Aberdeen
  • Queensland University of Technology

Production-proven for enterprise AV.

Innomesh is built for the operational reality of enterprise AV: large fleets, mixed vendors, legacy rooms, and high uptime expectations increasingly owned by IT. In production across universities, enterprises, and public-sector estates, it turns fragmented room technology into a service IT can manage, support, and scale.

  • 8+ Years

    of 99.99% Uptime

  • 100,000+

    Connected Devices

  • 100+

    Manufacturer Brands

  • 4

    Regions · AU · US · UK · EU

Reduce Downtime. Increase Visibility.
Bring AV into IT.

Innomesh connects AV and UC environments to the platforms your IT teams already use, including ServiceNow, Infoblox, TeamDynamix, Archibus, and other operational systems.

Room technology becomes part of your support, asset, and service management model.

Not another silo.

Single Pane of Glass

Bring room status, device health, alerts, user interactions, support resources, and control actions into one operational view.

Give support teams the context to diagnose faster, act remotely, and resolve issues in the same portal.

Remote Monitoring and Management

Innomesh tracks device health, UC service quality, peripheral chains, and network performance in one operational view. AI-assisted anomaly detection surfaces unusual patterns early, while predefined remediation policies resolve known faults before users are impacted. Support teams can act remotely, reduce site visits, and move from firefighting to proactive operations.

Cloud-native AV Control

Innomesh virtualises AV control into cloud-native software, replacing the traditional controller-centric model without forcing a full hardware refresh. Rooms become vendor-agnostic because control no longer depends on proprietary hardware. Existing controllers can be extended as managed edge devices, while new rooms can run controller-free. Reusable room templates make control faster to configure, easier to scale, and cheaper to maintain across the fleet.

Data and Operational Intelligence

Innomesh captures user interactions, native device telemetry, room usage, lifecycle metrics, and environment performance data, delivering deep observability beyond what monitoring-only platforms can see.

That data foundation feeds fleet-wide dashboards, AI-assisted anomaly detection, and operational evidence for room design, support planning, and refresh decisions.

Teams can sharpen AV standards, target refresh budgets, and back every choice with evidence rather than assumptions.

Platform Extensibility

Extend Innomesh with a secure and versioned Platform API, automated IP address reservation, and two-way ServiceNow CMDB synchronisation; enabling third-party integrations, eliminating manual coordination, and ensuring every system in your stack reflects a single source of truth.

Designed for Every Type of Space.

Where teaching depends on technology working first time

Innomesh reduces class disruption by monitoring room health, surfacing known faults early, detecting unusual patterns with AI-assisted anomaly detection, and resolving known issues automatically through predefined policies. When support teams need to step in, they can remotely control rooms and manage devices from the Innomesh portal before issues affect the session.

Stylised lecture hall with Innomesh monitoring a live display, telemetry chart, and seated rows

From alert to action.

Innomesh uses operational data, AI-assisted diagnosis, and predefined remediation policies to resolve known issues automatically and escalate the rest with full context.

  1. STEP 01

    Detect

    Room, device, UC, and network issues surface in real time.

  2. STEP 02

    Diagnose

    Telemetry, logs, configuration state, and history are analysed.

  3. STEP 03

    Decide

    Policies, change windows, and operational rules are checked.

  4. STEP 04

    Act

    Known fixes run automatically. The rest escalate with full context.

  5. STEP 05

    Record

    Actions, audit trails, notifications, and outcomes are logged.

Return on Investment from Day 1.

Reduce support effort, extend asset life, and lower the cost of managing AV and UC at scale. Innomesh combines cloud-native control, AI-assisted operations, deep observability, and remote support to reduce manual work, defer capital refresh, and deliver a more predictable operating model from day one.

  • Less Support Effort

    Reduce manual work with automation, remote remediation, and centralised operations.

  • 7+

    Years of Asset Life Extension

    Extend existing room technology and defer unnecessary capital replacement.

  • Zero Code

    No Room-by-Room Programming

    Deploy and update rooms through templates, configuration, and software-defined control.

  • 1

    Unified Subscription

    One licensing model across monitoring, management, control, and automation.

Testimonials

It was an absolute privilege to be a part of this groundbreaking collaboration with Innomate. The team fully engaged all our stakeholders and made everyone part of the journey.

Portrait of Carola Hobohm

Carola Hobohm

Customer · University of the Sunshine Coast

Watch

Ready to Tame the Chaos?

Prove It in a Production Pilot.

Connect Innomesh to one of your buildings. See it detect issues, control room experiences, automate environments, and support your team with AI-assisted operations and deep observability, turning fragmented AV into something IT can manage from day one.

pilot

Frequently Asked Questions