Real Solutions. Real People.

Research that earns its way back into the product

Four focused streams — cybersecurity for smaller organisations, machine learning on the CloudPBX voice platform, technology for performance spaces, and making sense of brownfield, multi-vendor networks.

Why we do research

Not academic. Applied.

Our research is backed by the Australian Government’s R&D Tax Incentive, and we’ve received a Commonwealth grant to develop cyber security solutions for small business. We’re not a university — we don’t publish for the citation count — but we invest seriously in four streams because the questions in each one matter to the customers we serve, and the answers earn their way back into the products and services we sell.

The discipline is the same in each stream: pick a real problem our customers actually face, build something that solves it, measure the result, and feed the learning back into the platform.

Four research streams

Stream 1

Cybersecurity for SMB and not-for-profits

For the small businesses, charities, faith-based organisations and independent schools we serve, what most determines their cyber risk usually isn’t which product they bought — it’s the patterns, behaviours and conditions inside the organisation: how people actually work, the shortcuts that creep in, the conditions that let risk quietly build. Security bought as a tool and then forgotten doesn’t hold. Real security is a state of mind, not something you outsource to software.

Our research in this stream asks: which patterns, behaviours and conditions actually drive a small organisation’s cyber risk and posture — and what strategies measurably shift them?

  • Identifying the behaviours and conditions that predict real risk — not just the absence of a tool.
  • What actually changes an organisation’s posture — habits, defaults and culture — versus what only looks like security.
  • Strategies that make the safe path the easy, default path, so good security holds without a dedicated team.
  • Turning security from a product you buy into the way a whole organisation thinks and works.

Stream 2

Machine learning on CloudPBX

Real World operates CloudPBX, our hosted voice platform, with multiple voice carriers behind it — so we sit on a stream of real-world voice-quality data across our entire customer base.

Our research asks: what can ML tell us about voice quality at carrier scale that traditional rule-based monitoring can’t?

  • Predicting call-quality degradation from upstream carrier conditions before it becomes audible.
  • Routing decisions that adapt to live carrier conditions rather than relying on fixed rules.
  • Voice analytics for customer use cases — sentiment, queue performance, outlier detection.

Stream 3

Technology for performance spaces

Theatres, concert venues, school performing-arts centres and event spaces have technology problems that look nothing like an office’s. Show-time uptime, lighting networks that share cable runs with audio, ticketing systems that absolutely cannot go down at 7pm, RF coordination for wireless microphones, network segmentation between front-of-house and production — real problems with real consequences.

This stream bridges two sister businesses — Lux Imperium (entertainment technology for venues) and Red Globe Productions (live event production) — with the Real World network and IT engineering depth that sits behind both.

  • Network architecture for venues separating show-critical traffic from staff and public traffic.
  • Production wireless and RF coordination on temporary sites (film sets, outdoor productions).
  • Power and UPS design for performance environments where mains isn’t up to the load profile.
  • Bridging stage technology (DMX, control networks) with conventional IT infrastructure.

Stream 4

Understanding brownfield networks

We take over networks built by many hands over many years — mixed vendors, little documentation, configurations that have quietly drifted from anyone’s original plan. Before we can safely change one, we have to work out what it is actually doing — and doing that by hand is slow and risky.

Our research asks: can we read the real intent of a brownfield, multi-vendor network automatically — making it safer and faster to take one on?

  • Parsing configurations from different vendors into one common model.
  • Identifying the real topology — what actually connects to what.
  • Disambiguating overlapping, conflicting or leftover configuration.
  • Surfacing the risk and drift hiding in a network nobody fully documented.

How this earns its way into your service

Research that doesn’t make it into the product is academic. Ours doesn’t stay in the lab. Each stream produces:

  • Configuration baselines that go into our managed-service playbooks.
  • Tooling our engineers use day-to-day on customer estates.
  • Quotable capability — work we can deliver without the customer paying for the R&D twice.
  • Sharing what we can with the Australian technology community.

Want to know more — or collaborate?

Call us about a specific area, or reach out if you've got a research question that overlaps with ours.

1300 798 718