AI and Custom Software for Media & Entertainment

Most of what a media or entertainment business needs from software comes down to a few questions: can you make your archive findable, can you automate the rights and publishing admin that eats your team’s time, can you turn scattered audience data into decisions, and can you build the content platforms and audience products off-the-shelf tools don’t cover. Here are straight answers.

AI and custom software for media — two halves of one story

We build two complementary things for media and entertainment companies: AI automation that clears the manual metadata, rights, and publishing admin swallowing your team’s week, and custom software — the bespoke content platforms, DAMs, audience apps, and rights systems that off-the-shelf products don’t cover. Most media businesses need some of both, and we do them together instead of leaving you to wire one vendor’s automation tool to another’s platform.

On the automation side, we replace manual coordination between content, systems, and audiences with AI-assisted workflows — auto-tagging assets on ingest, calculating royalties from usage, reformatting one master asset for every channel, and trafficking campaigns from insertion order to live. Humans step in only where judgement is needed.

On the custom software side, we build the platforms and products themselves — content and digital-asset-management systems, publishing pipelines delivered as products, audience and subscriber apps and portals, and rights-management systems built to your catalogue. Where automation removes manual steps from a process you already run, custom software gives you what doesn’t exist yet: a searchable archive your producers actually use, a subscriber portal your audience logs into, a rights system your whole team can trust. The sections below take each half in turn.

AI content tagging turns a dead archive into a live asset

The biggest untapped value in most media businesses is content they already own but can’t find. Decades of footage, audio, articles, and images sit on drives and legacy systems, indexed by nothing more useful than a filename someone typed under deadline. When a producer needs a specific clip, they either spend hours hunting or give up and re-create it.

AI changes the economics of this. Modern models transcribe speech, recognise objects, scenes, and faces in video, and read text in images, then write all of that back as searchable metadata. An editor searches for a phrase from an old interview or “aerial shot of the coastline at dusk” and gets the exact asset in seconds.

For archives with decades of untagged material, auto-tagging is usually the single highest-return project we do — it unlocks content you’ve already paid for but currently can’t monetise.

Rights, royalties, and licensing without the spreadsheet everyone fears

Most media businesses track licensing in a spreadsheet that only one person truly understands — terms, territories, windows, exclusivity, and revenue splits, all held together by memory and manual updates. A missed expiry becomes a compliance breach; a royalty run is slow and error-prone.

We replace that with software that models how your rights actually work, tracks usage against those terms, calculates royalties automatically, and alerts you before a licence lapses. It integrates with the finance system you already run, so the numbers your team relies on come from one trusted source rather than a fragile file.

Off-the-shelf media tools vs custom software: the honest trade-off

Most media operators hit a point where generic CMS, DAM, and ad tools stop fitting how they actually work. Here’s the trade-off at a glance:

	Off-the-shelf CMS/DAM/MAM	Custom media software
Best for	Standard workflows you can adapt to	When your content or catalogue is your edge
Upfront cost	Low	Higher, but scoped in sprints
Time to start	Fast	2–6 weeks to first production build
Fit to your workflow	You adapt to the tool	The tool fits your newsroom or studio
AI on your content	Generic, if any	Tuned to your assets and taxonomy

We’re usually brought in when a growing publisher, broadcaster, or production house has outgrown off-the-shelf tools but finds enterprise media platforms overpriced and overbuilt. The right answer is often a lean custom layer that adds the AI and automation those tools lack — not a full rip-and-replace.

Custom media software is the other half of what we build

A lot of our media work sits here: bespoke platforms for publishers, broadcasters, and studios, and audience-facing products for the companies that build media businesses on them. Typical builds include:

• Content and DAM platforms — custom digital-asset-management and content systems with the ingest, metadata, and search your producers actually use, wired into the archives you already hold.
• Publishing pipelines as products — editorial, approval, and multi-channel publishing tooling built to your newsroom or studio’s workflow, delivered as software your team owns rather than a subscription you outgrow.
• Audience and subscriber apps and portals — subscriber portals, membership and paywall apps, and audience-facing products, taken from idea to a working build you can put in front of real viewers and grow from feedback.
• Rights-management systems — software that models your licences, territories, windows, exclusivity, and revenue splits, so rights stop living in a spreadsheet only one person understands.
• Custom dashboards and integration layers — the modules, dashboards, and data flows that make the CMS, DAM, MAM, and ad tools you already run do what they can’t out of the box.

This is proven work, not a promise. For AI Survey Tech we built a custom analytics and integration platform that unified scattered operational data and lifted revenue 20%. For IAG we drove a 5x increase in delivery velocity through product management, CMS integration, and analytics — directly relevant to publishing and content platforms. And Climate Salad shows the connected-tooling core behind audience and workflow products. Real custom builds — not generic software dressed up for media.

What custom media software costs — and how fast it ships

You don’t need an enterprise budget. Because we work in two-week sprints with a defined deliverable and an agreed price per sprint (around $10k), you start with one high-return piece, prove the value, then expand — never committing to a six-figure platform on day one.

Scope	What’s included	Typical timeline
Focused build	One workflow — e.g. an AI auto-tagging pipeline, a rights-tracking tool, or multi-platform publishing	1–2 sprints (2–4 weeks)
Multi-workflow system	Ingest + tagging + publishing wired together	3–5 sprints (6–10 weeks)
Full custom platform	End-to-end build integrating CMS, DAM, rights, and analytics	Multiple sprints, scoped in stages

Publishing pipelines and ad-ops, automated

Today’s media teams publish across websites, apps, social, podcasts, and streaming — and each channel wants its own format, headline, and dimensions. Done by hand, it’s slow, inconsistent, and caps how much a small team can ever put out.

We build automated pipelines that take one master asset and reformat, resize, and repackage it for every destination, route it through editorial approval, and schedule it for release. On the revenue side, we automate the repetitive ad-ops steps between a signed insertion order and a live campaign — trafficking, checks, and reporting — so your commercial team spends time selling, not clicking.

Audience intelligence, built for decisions

Understanding your audience drives both editorial strategy and revenue. We build custom dashboards that aggregate web, social, streaming, subscription, and event data into unified views, then use AI to identify what drives retention, predict churn, surface high-value segments, and optimise ad placement and pricing — so commissioning and scheduling run on evidence, not instinct.

Have we built this exact system before?

Honestly, not a like-for-like media platform — so here’s the truth about where our experience transfers. For AI Survey Tech we built a custom analytics and integration layer that unified scattered operational data and lifted revenue 20% — the same pattern behind audience intelligence and ad-ops work. For IAG we drove a 5x increase in delivery velocity through better product management, CMS integration, and analytics — directly relevant to publishing and content operations. And Climate Salad shows the workflow-automation core: connected tooling that saved the team 10 hours a week and removed manual handoffs. The technology — AI tagging, integration layers, rights and royalty logic, automated pipelines — is the same regardless of industry.

Custom media software, built for teams Australia-wide

We’re a Melbourne-based team working with media and entertainment businesses nationally — broadcasters, publishers, streaming services, production houses, labels, and agencies in Sydney, Brisbane, Perth, and regional hubs. We handle media software development for Sydney and Brisbane teams as readily as Melbourne ones: delivery is remote-first, with on-site workshops where they help, and every system runs on infrastructure you own and control.

Explore our approach to custom software and AI integration, or see how we scope and ship in sprints.