For investors

Not 18 products.
One thesis, built out.

Over the last several years I have built a portfolio of interconnected technologies addressing the lifecycle of autonomous systems — intelligence, prediction, decisioning, security and execution. Several are already operational today — built single-handed, with no outside investment: multiple production systems, patent-backed IP, and AWS sponsorship of Bertha. One founder, the output of a company — that is the capital efficiency you'd be backing.

The through-line, as a timeline

One thesis, in the order it was built.

There’s a paradox worth sitting with before you scroll. Everything below came out of a classical training — the slow route: years in the room, a mentor, a ladder, an industry that paid you for accumulated experience. Now take that route away and ask the honest question. Where do those opportunities lie for someone still in school? What is their job today, and what is it tomorrow? The path that produced people like me is quietly disappearing — the kind of past experience this was all built on barely exists anymore, and soon may not exist at all.

That’s why so many skilled people — engineers, marketers, whole professions — feel a real resentment toward tools like these. The resentment is rational: we all know that if some of these outcomes land, they mean a genuine shift in job types, in job roles, and a huge amount of disruption. It’s the same disruption that makes large organisations struggle, because AI transformation isn’t another software upgrade — it’s a whole new ball game. Those who realise that will flourish; those who don’t will struggle.

So this isn’t a catalogue of products, and it isn’t a passing thought on a page. It’s one continuous, documented response to that shift — every tool forced into being by a real constraint, in real order, for real reasons. Hot air sells; the walk is where most stumble. This is the walk: hard evidence, not a pitch — real code, shipped, and most of it deliberately reused from one build into the next. Tap any node for the thinking, the design rationale and the shared code behind it; read the full essay for the whole argument.

Read the full story the full essay — five years, in order
2021
Feb 2022
2023–2024
2025
Q1 2026
Q2 2026
Now · Jul 2026
Decision Intelligence Governance & Security AI Operations Human Enablement Platform Moonshot Milestone

The through-line

One question, asked at every layer.

I'm not building ten products — I'm exploring a single question: how do we build systems that stay trustworthy as intelligence becomes autonomous? Each product is the evidence — and it reaches beyond enterprise software into digital trust itself.

A fair worry about a portfolio this size is that breadth is just conviction failing to commit. So, head-on: optionality is the smart builder's cheapest drug — value comes from walking through one door, not keeping sixteen open. Silo is that door; the rest is range that feeds it, not sixteen bets hoping one lands. What you'd be backing is simpler than the product list makes it look: someone who turns deep technology into growth you can put on a P&L — deliver, compound, own the upside.

18 Products in portfolio
7 Live & operational today
$0 Outside capital raised
2021 AI-MarTech patent filed

The opportunity

A product at every layer.

Most startups improve one workflow. This portfolio maps the entire lifecycle of autonomous systems — and ships at each stage.

  1. 01 Observe See the world as it is — signal, traffic and state, truthfully.
  2. 02 Predict Turn observation into foresight you can defend.
  3. 03 Decide Convert foresight into decisions, explainably.
  4. 04 Act Execute — ship the campaign, run the cluster, write the code.
  5. 05 Govern Keep autonomous systems safe, licensed and accountable.

Where capital compounds

The four I'd back first.

The portfolio is the moat; these are the spearheads — each a distinct path to revenue or category leadership.

Defensible IP

The moat is real.

Capital efficiency is one half of the story; defensibility is the other. Registered trademarks are granted; the 2021 AI-MarTech patent is filed and pending; eleven further patents are drafted. Numbers available on request — and the technology itself is genuinely hard to build.

2021

AI-MarTech patent — filed, pending

A patent on AI-powered marketing technology, filed in 2021 and now pending — well ahead of the market. Patent number on request.

3 yrs

Bertha — patent-filed stack

Three years of engineering on a patent-filed technology stack.

11

Silo — patents ready to file

Eleven defensible patents drafted and ready to file, covering cross-layer detection from silicon to cortex.

+

MiFamilias — patent potential

Further defensible patents identified — Trust Bubbles, Guardianship and Intent Quality advertising, each a moat.

Verify · diligence welcome

Everything here is checkable.

A thesis about trust ought to be easy to verify. So here is where to look — and I'll happily hand over the rest. Do the diligence; the asset holds up better under a light than under a pitch.

SG

Registered entity

Agencio APAC Pte Ltd — incorporated in Singapore, ACRA-verifiable. The bootstrapped holding company: pre-revenue by design, built to activate at scale with the first clients and investment.

IP

Patent & trademarks

AI-MarTech patent filed 2021 (pending). Registered trademarks — “Agencie.io” and “The Art and Science of the Possible” — granted. Patent and trademark numbers on request.

The code & the career

Real, recent work on GitHub, and a 25-year track record corroborated on LinkedIn.

Proof on request

Silo benchmark methodology, the technical papers, a live demo, my CV and referenceable engagements — shared on request or under NDA, via the data room.

Across the verticals

Range that compounds, not dilutes.

On paper it looks like spread — marketing, enterprise technology, banking and finance, construction, law, defence. It isn't scatter; it's a single education in how complex systems really work. Regulated finance and law taught rigour and consequence. The technology providers taught scale and the metal. Construction taught delivery under constraint. Marketing taught the human end. Autonomous systems sit at the intersection of all of them — they need the rigour, the scale, the delivery and the humanity at once. The breadth isn't diluted diversity; it's the exact combination the work demands.

Marketing & AdTech

The human end — brand, customer experience and the reach that gets the work to the people it is for.

AgencioUnicorn XPBentleyFiatSuperdrySelfridges

Technology Providers

Scale and the metal — from the Windows kernel and Itanium silicon to enterprise transformation and defence-grade intelligence.

OracleMicrosoftHPCognizantSunGardBAE Applied IntelligenceICL Fujitsu (MoD)

Banking & Finance

Rigour and consequence — high-volume systems that cannot fail, under regulation and real money.

Credit SuisseThreadneedleAnPost MoneyStandard Life Aberdeen

Construction

Delivery under real-world constraint, across a multi-data-centre estate at infrastructure scale.

Balfour Beatty Global

Legal

Precision, confidentiality and governance for a leading global law firm.

Linklaters

Being a Founder

The school of frugality and abstract poverty — sales, partnerships and stress, managed; 25 hours a day, 8 days a week, and getting things done anyway.

Agencie.io LabsSalesPartnerships

These are organisations I've worked in or delivered for across a 25-year career — as an employee or through partners. They're roles and engagements, not clients or endorsements of Agencie.io Labs.

Point of view

Growth is not what saves a portfolio company from compliance exposure. Growth is the event that triggers it.

AI collapsed the cost of building and quietly detached it from the context that used to travel with it — the code review, the threat model, the architect who asked where the data goes. The result is a generation of companies that are functionally complete and structurally non-compliant: no audit log, secrets in plaintext, production open to everyone, and no way to actually delete a user. None of it shows up as a bug. All of it shows up later — at diligence, at the first enterprise security review, or in the multi-month re-architecture you end up funding in year three.

Security and privacy controls are foundations, and pouring a foundation under a tower that is already occupied is the most expensive construction there is. It is also, precisely, where Silo sits. The essay and the whitepaper are free and ungated — no sign-up, no gate.

The ask

Back the founder, then the stack.

Every product here stands on its own and has real market value — with two ways to get there: patient organic growth, or investor acceleration. I've already put in the part money can't: years of knowledge, the time, and real bootstrapped cost to carry the portfolio to production, single-handed and unfunded. I'm raising a seed round to move it from bootstrapped to backed — concentrating on Silo, Bertha and posit. as near-term engines, while MiFamilias carries the long-term upside. The figure and terms are in the deck.

The tailwinds aren't a forecast — they're arriving. AI governance, runtime accountability, compliance and child-safety law are landing now, and Silo sits exactly where that demand is about to hit, with eleven patents drafted and a beta already live. The honest risk isn't backing this too early; it's reading, two years from now, that someone else shipped it. I'd rather build it with you than watch it from the sidelines.