HomeTechnology Partner
Technology Partner

You handle the business. We just handle the technology.

You already know AI matters. What you haven't got is the time to work out what to do about it, or any appetite for betting wrong. So we do it for you. QuantalAI comes in, learns how your business runs, and builds AI into it, end to end, from strategy and builds to your network, hardware, and the wifi in the office. You pay one predictable monthly cost and scale it to what you want done.

The old way

Everyone sells you the best AI. No one just handles it.

The hard part of AI isn't the tools. It's that nobody has done this before, so no one is sure what to do, which option is best, or how to decide. You don't want to bet wrong, and you haven't got weeks to sit through vendor meetings. So the big consultants and the big vendors turn up, tell you how good their product is, and you end up buying the same thing everyone else did.

Underneath it, your tech is already scattered. Your website sits with one supplier, your network with another, your AI plans with a third, and every handover adds cost. A partner should take all of that off you, not add to it. Anything less isn't a partner. It's a burden.

Today: a supplier for everything
Website host
Network / NBN
AI vendor
Helpdesk
Hardware
DNS & wifi
One partner, the whole stack
End to end

One partner, the whole stack

We don't hand off to anyone else. If it runs your business, we can run it for you.

Strategy and build

Discovery, AI roadmaps, custom portals, and the agents that do the work.

Run and support

The daily runs of your live agents, monitored and reported every month.

Network and hardware

Your network, NBN, wifi, and DNS. We can even source, deliver, and install hardware, including an on-prem server with its own GPU so your data never leaves the building.

Around the model

The AI model is the easy part. What pays off is everything around it.

Any business can buy a model. What makes AI cost and time efficient is the work around it, the harnesses, the data, and the mapping that point it at the right job. That's what we build, with tools and experts refined across many industries over decades.

01

Agentic harnesses

The custom scaffolding that lets AI agents actually do your work reliably, not just answer questions.

02

Data pipelines

The plumbing that moves your data to where the AI can use it, cleanly and on time.

03

Data lakes

One place your business's data lives, so the AI works from a full picture instead of scattered files.

04

Prompt optimisation

Tuning how the AI is asked, so it gives the right answer more often and costs less to run.

05

Process mapping

Working out how your business actually runs, step by step, so the AI is pointed at the right work in the right order.

06

Cross-industry expertise

An array of tools and experts refined across many industries over decades, so you benefit from what already worked.

Because your data, prompts, and workflows are kept separate from any single model, you're never tied to one. We keep you on the current best one as the field moves. That's the opposite of the usual trap, where a business ends up reshaping how it works to fit Salesforce, SAP, or Xero. A build shaped around your edge runs better than one that bends you to someone else's mould.

How you buy

You buy Units, and spend them where the work is

A Unit is about a day of work. You buy the number you need each month, and you can scale up or down as your goals change. There are three kinds, and you mix them to fit the job.

People Units

Real people. Business analysts, solution architects, and data specialists for discovery, meetings, and cleanup.

Token Units

AI agents. The tokens that feed our coding agents while we build, and that keep your live agents running each day.

Compute Units

The infrastructure. The database and platform your solution runs on.

Early on you'll run more People Units to work everything out and build it. Once it's live, you dial back to mostly Token and Compute to keep it running.

Build your month

Build your month, your way

Set your total Units for the month, then spend them across People, Token and Compute, and change both the total and the mix whenever your needs shift.

Interactive: set your total, then spend it across People, Token and Compute
Total Units this month8
All 8 Units allocated
People Units
4
Real people: business analysts, solution architects and data specialists who map your processes and plan the build.
Process mappingDiscoveryCross-industry expertise
Token Units
2
AI agents that build your solution and keep it running each day, on custom harnesses tuned to your work.
Agentic harnessesPrompt optimisationLive agents
Compute Units
2
The infrastructure the AI runs on, from data pipelines to the data lake and platform underneath.
Data pipelinesData lakesPlatform & hosting
8 Units · 4 people · 2 token · 2 compute
Take the AI Roadmap Interview
What it costs

For most small businesses, it's about the cost of one employee

You set the budget. For most small to medium businesses, a working month of Units costs about the same as one employee. Want more done faster? Add Units for that month. Want to hold steady? Dial it back. You get a set monthly cost with none of the surprise invoices, and a per-customer discount on the Unit price.

One monthly commitment ≈ about the cost of one employee
60%
30%
People Units
Token Units
Compute Units

You want processes converted and a portal built, so the month runs people-heavy. Same monthly commitment, spent where the work is.

Over a project

Your spend shifts from people to AI as the work matures

01

Discovery

People-heavy

Heavy on People Units. We work out everything you want to build.

02

Build

People → Token

We switch to Token Units, feeding coding agents to build it.

03

Go live

Token + Compute

Your agents run daily on Token and Compute Units.

04

Steady state

Mostly Compute

People Units drop right back. You keep only what keeps it running.

Because it's reported every month, you see where the Units went and tweak the mix. It works like a project, but it never resets to zero.

The difference

Ask, and something's already moving

The old way
With QuantalAI
Raise a ticket, wait days
Log a request, an agent starts within minutes
A new supplier for each need
One partner across the whole stack
Discovery starts from scratch every time
We already know your business
Markups from every consultant in the chain
One cost, no middle layers

Nine times out of ten we build an automated process for a request, so the same job never costs real time again. A new landing page that needs a DNS entry, a wifi problem, a network check. You ask, and it's handled.

Consultant vs partner

A consultant hands you a scope. A partner owns the outcome.

A traditional technology consultant comes in on a fixed price with a thin scope, builds the one thing, and leaves. You're left with a piece that works and a lot around it that doesn't. A Technology Partner is the other way round.

Traditional consultant
Technology Partner
Fixed price, fixed scope. You get what was quoted, and nothing it turns out you also needed.
One partner across the whole stack. No handovers and no markups stacked in between.
Thinly scoped, siloed deliverables. One piece works, the rest doesn't connect to it.
Everything joins up, because the same team builds all of it.
A separate supplier, and a markup, for each new need.
Units you scale month to month. Up for a big push, down to hold steady.
They leave when they invoice, so next time starts from scratch.
We already know your business, so we never re-run discovery.
Why we're faster

We never start from zero

Everything we do for you is ingested into Notio, our platform. Every meeting, request, document, and delivery. It keeps a full, secure record of your business, so we don't spend months on discovery every time you come back. A couple of meetings about where you're headed, and we can generate a plan in minutes.

Your data stays in its own silo. Our agents work only on your information, and it never crosses over to anyone else. A lot of the time we hold only a vectorised version of a document, not the document itself, so the AI can find what it needs without the raw file sitting anywhere it shouldn't.

Where it runs is your call. Most of it can sit in the cloud, or we keep the data that must never leave on your own hardware, or we go fully sovereign, cut off from the outside world with the AI still living inside your walls. See Sovereign AI for how far that can go.

How Notio remembers
Ingest
Every meeting, request, document, and delivery.
Notio ledger
A full, secure record of your business, in its own silo.
Agents query
Our agents read the context, not months of re-discovery.
Monthly report
What was done and where the Units went.
Where a person stays in the loop

AI clears the routine, people handle the rest

We're honest about what AI does well and what it doesn't. It takes the repeatable work off your plate and runs it reliably. The judgement calls, the tricky exceptions, and the big decisions still go to a person. That's the point. Clearing the routine is what frees your team for the work that needs them.

Get started

Tell us what you want to get done

Take the AI Roadmap Interview. You'll talk through your goals and where your team loses time, then get a plan for where to start and how many Units it takes.