kaanha
tech.
An Australian technology studio. We build custom AI, software, and data systems for businesses that don't fit the SaaS mould — and we support what we ship.
Talk to the studio
What we do
Every engagement
is bespoke.
No plug-and-play.
Most studios are racing to productise — building SaaS tools they can sell to many customers. We go the other way. Every engagement is custom, scoped to one client's actual workflow.
If you're looking for a tool you can buy off a shelf, we're probably not the right fit. If you're looking for something built around your business, you're in the right place.
Capabilities
Six things we
do well.
01 · Custom AI
AI built around your data
Predictive models, document intelligence, agentic workflows, and bespoke LLM integrations. Trained or grounded on your data, not someone else's SaaS template.
02 · Software
Internal apps that fit
Custom web apps and internal tools when off-the-shelf SaaS does not match how your team actually works. Modern stack, small bills, deployable in weeks.
03 · Data
Pipelines you can trust
From a 14-year-old Excel workbook to a clean Postgres + dbt + dashboard layer, with zero downtime. We have done this enough times to make it boring.
04 · Automation
Repetitive work, automated
If your team is doing the same thing more than once a week, we can probably automate it. Triage, extraction, routing, reporting, classification.
05 · Consulting
Honest technical reviews
Sometimes the right answer is not "build something". We do paid reviews of existing systems, AI strategy sessions, and second opinions on vendor pitches.
06 · Support
We support what we ship
Every engagement comes with optional ongoing support. Patches, monitoring, retraining, and improvements based on what we learn from production use.
Selected work
Things we
have shipped.
Manufacturing · Client work
Predictive Maintenance Pilot
Sensor analytics on factory line equipment
- duration
- 8 weeks
- lines after pilot
- 3
- downtime reduction
- −71%
Read the case study →
SaaS · Client work
Sales Forecasting Ensemble
Quarterly revenue predictions for a SaaS startup
Read the case study →
Legal services · Client work
Document Intelligence Pipeline
Structured data extraction from unstructured PDFs
Read the case study →
Try our work
Live demos
in your browser.
Most of our work is under NDA — so instead of screenshots, we built miniature versions you can try in your browser. Each one mirrors a real client engagement.
● Live · Industrial AI
Predictive maintenance.
A live factory floor.
Six simulated machines streaming vibration and temperature data. A rolling z-score anomaly detector watches every reading. Click inject fault on any machine and the model catches it within ~10 seconds. Open the dashboard, click around — you are looking at the actual system.
▶ Open the dashboard →
Triage
Sentiment & routing
Type a complaint, see how we route it.
Try it →
Extract
Structured extraction
Paste messy text, get clean JSON.
Try it →
Forecast
Quick forecast
Type 6 numbers, see the next 3.
Try it →
Data
Excel → Postgres
Same numbers, ~10,000× faster.
Try it →
Software
Internal tools sandbox
Add a project, see the board update.
Try it →
Audit
Site audit
Paste a URL, see what we'd change.
Try it →
How we work
Four steps,
no surprises.
01
Listen
We start with the actual problem. Not the requested feature, not the vendor pitch, the underlying friction.
02
Scope
We propose the smallest version that delivers value, with a fixed price and a clear timeline.
03
Build
Tight feedback loops. We ship something usable in week 1, not week 12. Weekly demos, no surprises.
04
Support
After delivery we stay on as much as you need. Bug fixes are free. Improvements are billed in small chunks.
Want to talk
Tell us what
you're trying
to do.
Every project starts with a real conversation about your problem — not a sales pitch. Send us a note and we'll get back within one business day.
The Journal
Once a month.
No fluff.
We write a single essay each month on what we are seeing in AI work for Australian businesses. Honest, opinionated, occasionally wrong.