For investors

Not eight 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 — and all of it built on zero outside investment, the only external backing being AWS's sponsorship of Bertha.

13 Products in portfolio
2 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. The portfolio is protected by filed and draftable IP — and by technology that is genuinely hard to build.

2021

AI-MarTech patent, filed

A patent on AI-powered marketing technology, filed in 2021 — well ahead of the market.

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.

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 — why the work matters to the people it is for, and how it reaches them.

AgencioUnicorn XP

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

The conversation

Back the founder, then the stack.

I'm raising to move the portfolio from bootstrapped to backed — concentrating on Silo, Bertha and posit. as near-term engines, while MiFamilias carries the long-term upside. If that thesis resonates, let's talk.

Start the conversation