AI-native transformation studio

Become AI-native before your competitors do.

We've built software for years and kept seeing the same thing: brilliant teams losing hours to work that AI can now do. You know your field better than anyone. We bring the AI-native tools to make your people dramatically faster at it.

Let's chat→Why this, why now

$6spent on services for every $1 on software

80%software-like margins — not the usual 20–30%

100%of the systems and code stay yours

The premise

Services are the new software.

Sequoia's thesis names the shift we've felt for years. The next generation of category leaders won't just sell tools — they'll deliver the work itself, with AI doing the heavy lifting. The companies that adopt this first, in every industry, pull away from the ones that don't.

“For every $1 spent on software, $6 is spent on services. The next trillion-dollar company won't sell software — it will sell the work, delivered by AI at software margins.”

Adapted from Sequoia Capital — “Services: The New Software”

The same logic applies inside your company. The work your team does by hand today is the “$6.” AI-native tooling is how you capture it — faster turnarounds, higher margins, more capacity without more headcount.

Where the money actually goes

Software$1

Services & manual work$6

Copilots help people and compete with every model release. Autopilots deliver the work and get cheaper with every model release. We help you build the second kind.

Don't take our word for it — read the essay that frames the shift:

sequoiacap.com/article/services-the-new-software

Sequoia Capital · Perspectives

Services: The New Software

By Julien Bek & Sonya Huang · Sequoia Capital

For decades, software has been sold by the seat. But the far larger prize has always sat next to it: the services that make software actually work. For every $1 spent on software, roughly $6 is spent on services.

AI changes who does that work. The winning companies of this era won't just sell tools to professionals — they will deliver the outcome itself, with AI doing the heavy lifting, capturing services revenue at software-like margins.

The distinction that matters is between copilots and autopilots. Copilots assist a human and compete with every new model. Autopilots own the work end-to-end and get cheaper and better with every model release.

Read the full essay on Sequoia→

Excerpt shown for context. Full article © Sequoia Capital.

By the numbers · 2026

The shift isn't coming. It's compounding.

We're halfway through 2026 and the curve has bent. The teams that wired AI into the work itself last year are pulling away — here is what that looks like in numbers.

Adoption index

Work delivered by AI agents

2027 projected

202220232024202520262027

11× growth in three years. The companies on the steep part of this curve set it there on purpose.

Capacity unlocked

Knowledge work now automatable

41%of hours

Of a typical knowledge worker's week — the rote middle that AI can now carry, freeing your experts for judgement.

From a typical pilot

Hours back per person, per week

≈ 30 hrs / week total

Intake & data entry

11 hrs

Reporting & dashboards

8 hrs

Drafting & client comms

6 hrs

Reconciliation & QA

5 hrs

Illustrative result from a first AI-native workflow — measured against how the same work was done the month before.

What we keep seeing

Great companies running on workflows from a pre-AI world.

Years of building software took us inside hundreds of operations. The pattern is always the same — the bottleneck isn't talent or effort. It's how the work flows.

Skilled people doing rote work

Experts spending half their week copy-pasting, reconciling, formatting, and chasing — work that quietly drains your best margin.

Tools that don't talk

A dozen SaaS subscriptions, none of them connected. Knowledge lives in inboxes and spreadsheets instead of working for you.

Growth that means hiring

Every new client means more headcount, because capacity is tied to hours. AI breaks that link — output stops scaling with payroll.

How we're different

You're the expert. We bring the AI.

We don't parachute in claiming to know your industry better than you. We can't — and the consultants who pretend otherwise are why “digital transformation” earned a bad name. Our job is narrower and more honest: take the deep knowledge already in your team and give it AI-native leverage.

What we don't do

Tell you how to run a business we've never run
Sell you another dashboard you'll forget to open
Hand over a slide deck and disappear
Lock you into our tools or our retainer forever

What we do

Learn your workflow from the people who live it
Build AI into the work itself, where it earns its keep
Ship working systems, then prove the time and money saved
Train your team to own it — so you don't need us forever

Engagements

Four ways we make a company AI-native.

AI readiness audit

We map your workflows and find the few that AI can transform first — ranked by hours saved and ease of shipping.

Workflow automation

We connect your tools and let AI handle the repetitive middle — intake, drafting, reconciliation, follow-up.

Custom AI tooling

When off-the-shelf won't fit, we build the internal tool or agent your work actually needs — and you keep the code.

Team enablement

We embed AI into how your people work day to day, and train them to extend it — so the capability stays after we leave.

How we work

Start small. Prove it. Then scale.

No twelve-month transformation programmes. We earn the next step by shipping something useful in the first few weeks.

Step 1

Discover

A short, paid deep-dive with your team. We find where the hours and margin are leaking.

Step 2

Pilot

We ship one high-impact workflow in weeks, not quarters, and measure the result against today.

Step 3

Embed

Once it's proven, we roll it deeper and wire it into the rest of your operation.

Step 4

Hand over

We train your team to own and extend it. Success is you not needing us.

Why teams trust us

The moat is expertise and trust. We protect both.

Sequoia's thesis is clear that the durable advantage isn't the model — it's domain knowledge and trust. That's yours. Here's how we make sure it stays that way.

Your data stays yours

We work inside your environment with least-privilege access. Nothing trains a public model. Clear data agreements before we touch anything.

No lock-in

You own the systems, the code, and the accounts. If you ever want to run it without us, you can. That keeps us honest.

Paid by outcomes

We start with a small pilot tied to a measurable result — hours saved, turnaround cut — so you see the return before you commit.

Builders, not slideware

Years shipping real software in production. We write the code and run the systems — strategy you can actually deploy.

Humans stay in control

AI does the heavy lifting; your experts review what matters. We design for oversight, not blind automation.

Small, senior team

You work directly with the people building it — no junior hand-offs, no account-management layer between you and the work.

Why trust us with this

Built by the team behind Sigmaschool.

Before Northstack, we built one of Southeast Asia's leading coding bootcamps — taking complete beginners to working software developers, backed by a get-hired-or-money-back promise. We've spent years turning AI from hype into outcomes. Now we bring that inside your company.

90+careers changed into tech

46hiring partners, and growing

10cohorts shipped, end to end

100%get-hired-or-money-back promise

Hiring partners

Graduates of our school now build at companies that don't hire on faith — they hire on output.

The team

A small, senior team of builders and instructors — the same people who'll be in the room with you.

Kan Mun JuenProgramme Manager & Instructor

Adam FilchoirSoftware Engineer & Instructor

Safa Yousif Abdalla AbakarSoftware Engineer & Instructor

Khansa Tsabitah AriyaniProduct & UI/UX Designer

Eunice Chen Yun YinSoftware Engineer & TA

As featured in

Coverage from the publications that watch this space closely.

Vulcan Post — This M'sian bootcamp promises students a full-fledged tech job in 3 months, or your money back

“This M'sian bootcamp promises students a full-fledged tech job in 3 months, or your money back”Read

The Edge Malaysia — Edutech: Coding computers and decoding talents

“Edutech: Coding computers and decoding talents”Read

BFM 89.9 — Open For Business: Get A Job, Or Your Money Back

“Open For Business: Get A Job, Or Your Money Back”Read

Study International — “You don't need a degree to succeed in tech,” says coding boot camp founder

““You don't need a degree to succeed in tech,” says coding boot camp founder”Read

Astro Awani — Notepad with Ibrahim Sani: Transform Life, With Tech

“Notepad with Ibrahim Sani: Transform Life, With Tech”Read

Disruptr — Bridging The Gap: How Sigmaschool Is Rethinking Tech Education To Meet Industry Demands

“Bridging The Gap: How Sigmaschool Is Rethinking Tech Education To Meet Industry Demands”Read

About the founder

Deric Yee.

Northstack is founded by Deric Yee — self-taught builder and the founder of Sigmaschool. He's spent years shipping products and teaching thousands of people to build with code and AI.

Deric started Sigmaschool out of a frustration, not a business plan. He kept watching smart, hungry people try to break into tech and hit the same wall — courses that dumped videos with no guidance, taught skills but not outcomes, and left people able to learn but unable to get hired.

So he built the place he wished existed: somewhere you could learn tech, get mentored, use AI properly, ship real projects, and land a real job — all on one path. What started as a side project became Sigmaschool, one of Southeast Asia's leading coding bootcamps, with hundreds of graduates now building in production.

“Learning alone is hard. Learning with guidance, community, and real-world context isn't. That's the entire bet.”

Northstack is how he brings that frontier inside established companies — pairing your domain expertise with AI-native tooling, so the knowledge you've spent years building compounds instead of stalling.

Read the full story→Work with us

Honest answers

Questions you're probably asking.

We're not a tech company. Is this for us?+

Especially for you. The biggest gains are in industries where the work is still done by hand — brokerage, accounting, clinics, agencies, operations. You bring the domain knowledge; we bring the AI. No technical background needed on your side.

Will this replace our people?+

Our aim is to take the draining work off their plates so they do more of what they're great at — and so the same team can handle far more without burning out. AI does the rote part; your experts make the judgement calls.

How fast do we see something real?+

The discovery phase is a couple of weeks; the first pilot usually ships within four to six. You'll have a working, measurable result before any larger commitment.

What about our data and security?+

We operate inside your systems with least-privilege access and a clear data agreement up front. Your data never trains a public model, and you keep ownership of everything we build.

Why not just hire internally?+

You can — and eventually you should own this. We get you there in weeks instead of a year of hiring and ramp-up, and we hand the keys to your team so the capability stays in-house.

Let's chat

Tell us where the manual work piles up.

A 30-minute, no-pitch conversation. We'll tell you honestly whether AI can move the needle for you — and where we'd start if it can.

Talk to the people who build, not a salesperson Leave with one concrete idea, free Start with a small paid pilot, never a big contract

Real builders — Deric and the Sigmaschool team.

Prefer to reach us directly?deric.yee@gmail.com +60 11-6110 9801