Custom AI development
Use what exists.
Build what doesn’t.
When existing AI products leave your team filling a gap by hand, we build the missing piece and connect it to your systems.
Rated 5 stars on Clutch.
Feasibility and design / Prototype and integration / Evaluation and ownership
Somerset West, Cape Town / Working globally
A few of the brands we’ve worked with
Selected work
GASQ group / AI content automation
Designed once,
produced on demand
For GASQ, iSQI, A4Q, the Testing Summit and ISTQB, we built an automation that turns our Figma designs into on-brand images for each new piece of content. It runs through n8n and their Monday.com boards, and we manage it.
Five brands on one automation.
Motherland OMNi / OMNification
We listen with
a tool we built
We designed and built OMNification, Motherland OMNi’s AI ad verification platform, and we use it for social listening as well as verifying ads.
Patent pending.
Custom AI pays off when the job is clear
That means a job specific enough to explain, test and hand over to the people who’ll use it. If a ready-made product can already do it, we’ll recommend that instead.
If development is needed, we assess the data, models, integrations and support the tool will require.
From first check to first version
Custom AI, tested against real tasks
Some projects start with a feasibility check: can it be done with the data you have? Others start with a prototype. Either way, the test results decide when it’s connected to your systems and released.
01
Discovery and feasibility
We define the workflow, data and output with your team, assess whether AI fits the task, and set a clear test for the first version.
Use-case brief / Data and feasibility review / Initial evaluation criteria
02
Solution design
You see which parts can come from existing AI models and services, and which need building, based on what the tool must do. The design covers how your people will use it, where its information comes from and the practical limits it works within.
Approach comparison / Solution outline / Integration and ownership requirements
03
Prototype and integration
We build the first version and connect it to the systems in scope. Then we test it on real tasks, including the cases most likely to trip it up.
Scoped prototype or tool / Agreed system connections / Task-based evaluation
04
Release and support
Together we set out when the tool is ready to release, who oversees it and how it’s supported. You’ll know who monitors it and handles changes, including updates to the AI models and services it relies on.
Release criteria / Oversight and monitoring / Support responsibilities
Working together
The people who use it help shape it
Your workflow owner and technical team help define the problem, review the tool and decide whether it meets the requirement.
01
Check what exists
Show us the workflow, the products you already use, the information it relies on and who’ll use the result.
02
Plan the tool
Agree the first phase, what it depends on technically, how it’ll be tested and who makes the calls.
03
Build and connect
Build and test the first version, reviewing its output and behaviour with your team.
04
Decide the next step
Review what the first phase proved and settle the next step: further development or release.
A custom tool rarely works alone
A custom tool usually connects to your website, app or marketing workflow. Our ongoing support looks after those connected systems, with clear responsibilities for the tool’s own monitoring and maintenance.
What do your current tools leave you doing by hand?
Tell us about the workflow, data and people involved. We’ll assess whether custom development makes sense and recommend what to test first.
A 30-minute call. No brief needed.