EST · 2016  —  DASH-U AI STUDIO
+ +
AI Integration · Digital Transformation · Custom Build

Less small talk.
More money.

We put AI inside the part of your business that actually runs — the shop floor, the fleet, the inbox, the P&L. One industry at a time, built deep enough to be worth keeping.

Taiwan runs on mid-sized businesses. Most of them will never hire an AI team, and nobody is coming to build one for them. So that's the job. Not AI for the companies who can already afford it.

I need this yesterday
Dash-U since 2016, still debugging
// Neural Net Grid
Synced
Logic Core AI Ops Loop
Sound familiar?

"I know we need AI.
I just don't know where to start."

Honestly? Not with another tool subscription.

Ten tools, zero alignment
Every one of them has a dashboard. None of them agree.

ChatGPT is great at talking
It just doesn't know your business, your margins, or your worst customer.

The report is done. Now what?
Numbers don't tell you what to do on Monday.

You'd have it built custom
If the quote didn't arrive with its own glossary.

That gap is the entire reason we exist

Where we work

Different industries.
Same job.

Take what's already happening in the business, make it legible — then make it decide.

Commerce

Marketplaces, storefronts, ads, margins — one loop instead of nine dashboards. Where we started, and where our own product came from.

Connected hardware · AIoT

Equipment in the field, quietly generating data nobody reads. We make it say which unit needs a human tomorrow.

Manufacturing & food

The know-how is real. It's also entirely inside one person, and that person has started mentioning retirement.

Succession

You inherited the company. You did not inherit the spreadsheets, the supplier relationships, or the guy who knew why it was done that way.

Professional & knowledge work

Quotes, proposals, case histories, institutional memory. The work is thinking; most of the day isn't.

Yours, probably

We haven't done every industry. We've never met one where nothing was worth automating. Tell us what your Monday looks like.

Our approach

We don't hand you a tool.
We build you a flywheel.

Data comes in → AI turns it into insight → content gets produced → everything becomes a reusable asset → decisions feed back into the data. The longer it runs, the better it knows your business.

01
ConnectWire up your systems, platforms and files into one AI-readable knowledge base
02
InterpretTurn messy data into recommendations a human can actually act on
03
ProduceCopy, creative, replies. Generated, not agonised over
04
RetainEverything produced gets stored and reused. You stop paying twice for the same work
05
DecideResults loop back in. The next round is sharper
① Data
② Insight
③ Content
④ Assets
⑤ Decisions
AI OPS LOOPLearning you,
every turn

A closed loop. It gets smarter than us, eventually.

The scaling problem · 8 stages
It's arithmetic.
STAGE 01
1
One machine. You walk over and look at it. This works perfectly, and scales to exactly one.
STAGE 02
10
Ten sites, one route, one afternoon. Still a person's job. Nothing here needs AI yet, and we'll tell you so.
STAGE 03
50
The route no longer fits in a week. Something gets skipped, and you find out which one when it fails.
STAGE 04
200
Somebody builds a dashboard. It is accurate, comprehensive, and nobody opens it after the second week.
STAGE 05
1,000
Exceptions stop being exceptions. Every day something is wrong somewhere; the only question is which ones matter today.
STAGE 06
3,000
Maintenance has to be predicted, not scheduled. Usage, flow, wear and failure history stop being records and start being signals.
STAGE 07
10,000
No human reads anything raw. One technician gets three addresses each morning, in order, with a reason. That's the whole interface.
STAGE 08
The next 10,000
Different machines, different industry, same arithmetic. That's the part we're actually building.
Two ways in

Want someone alongside you,
or want the whole thing built? We do both.

AI adoption & transformation

We land AI in the work you already do
  • AI audit
  • Process diagnosis
  • Tool selection
  • Hands-on rollout
  • Team training

"We don't hand you a glossary. We roll up our sleeves and sit next to you."

Custom solutions

Your process, written into a system
  • Custom systems
  • Platform integration
  • Process automation
  • RAG & knowledge bases
  • Admin tooling

"Describe it in plain language. Turning it into code is our problem."

~/y0u + "dash-u" == 1
&& 1et's build it };
D

You're going inside the engine

$ cd dash-u/engine && sudo ./run
Revenue this month+18%
Ad ROAS4.2x
Overall health88
Data hubOps analyticsCreative & copyAsset libraryDecisions
AI content pipeline
Vertical #1 · Commerce

The first industry we went deep on
was our own customers'.

What came out of it is an operations control tower for commerce — running the same loop we now bring to other industries.

We were our own first client. It seemed rude to sell something we hadn't survived ourselves.

Real-time data architecture

Wherever your data lives now, it ends up in one place.

Platforms & ads Commerce, social, ad accounts
Files & cloud Spreadsheets, docs, images
Equipment & sensors Field devices, telemetry
The engine Long-term memory Your company's knowledge base
Dashboards & alerts Where you actually look
Automated work Content, replies, scheduling
Guardrails & audit Who changed what, and why
Sources Engine Outputs Guardrails
What actually changed

After AI landed, what they got back wasn't just hours.

-30%

Repetitive hours, handed over to automation.

// food e-commerce · three months in
5×

Marketing output, without one copywriter being the bottleneck.

// beauty & personal care brand
+18%

Revenue growth, from a decision loop that keeps tightening.

// factory-direct e-commerce
About Dash-U

Music with the code.
Coffee with the nonsense.

Writing code since 2016. We haven't written less of it, and we haven't talked less nonsense either. People who ship, and who are easy to be in a room with — the hard engineering stays in the repo, not in the conversation.

The clientBrings the problem, the deadline, and the money

The budget is fixed.
The scope is alive.

Full-stack engineersBuilds the whole thing. Front to back, no handoffs

From the database
to the border-radius. All me.

The one who asks "when"Keeps the promise and the calendar in the same room

I don't write the code.
I ask when it'll be done.

The AI agentDoes the repetitive half. Supervised, always

I don't sleep.
I do hallucinate. That's why they watch me.

Your competitors aren't waiting

Still deciding whether to use AI?
Someone in your category already has, quietly.

Talking is free. We'll run a no-cost AI audit and tell you where AI can actually earn its keep in your business.

Book a free AI audit Chat right here