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Sector 08 · AI and AAOs

AI that does real work.

We build and back companies that put AI to work inside real operations. Not demos: agents and systems that take on jobs people used to do by hand.

The thesis

Why AI and AAOs, why now?

The cost of intelligence has fallen faster than any input in business history. What needed a research team two years ago is now an API call. The bottleneck has moved to the operator: which work to hand over, how to wire it in, and how to make it reliable.

This is home ground. Joaquim co-founded Gatewayz.ai, an inference gateway that routes across hundreds of models, and runs a fleet of AI agents across his own companies for research, outreach, operations and reporting. We invest in what we use every day.

The opportunity is widest where AI meets an industry that software never properly reached. There, a small team with the right agents can outrun an incumbent.

Themes

What we look at.

01

Agentic autonomous organizations

Companies designed from day one for humans and AI agents working side by side, with identity, decision rights, approval gates and audit trails built in.

02

Agentic operations

Agents that own a workflow end to end (sales, support, research, back office) with humans at the checkpoints.

03

AI infrastructure

Inference, routing, evaluation, observability and the plumbing that makes AI dependable in production.

04

Vertical AI

AI-first products built for one industry, where domain data and workflow depth are the moat.

05

AI-native services

Service businesses rebuilt around agents, with software margins and human judgement where it matters.

Agentic autonomous organizations

The next company runs on a rulebook agents can read.

An agentic autonomous organization (AAO) is a company where humans and AI agents share the work under one rulebook. It says who each agent is, what it may do, which human answers for it, and which decisions must wait for human approval. Governance is built into the operating system, not bolted on afterwards.

We build this way ourselves, and we back founders who do. Studio company FlashyOS publishes an open specification for AAOs, and SafeCommit provides signed, verifiable checks before an organization proceeds with a counterparty. Together, they make agent-run companies accountable enough for real customers, partners and investors.

Read more on FlashyOS

What we look for

  • A specific job the product takes over, measured in hours or dollars saved
  • Founders who ship, measure and iterate weekly
  • Reliability treated as the product, not an afterthought
  • A path to proprietary data or workflow lock-in

How the studio helps

Help where founders in this sector need it most.

Every service below comes from a role Joaquim has actually held. We picked the ones founders in this sector ask for most.

01

Sales automation

AI agents for prospecting, outreach, qualification and follow-up, wired into a clean CRM. Your pipeline keeps moving while the team sleeps.

Experience · Builds and runs AI lead-generation and outreach agents across his own companies.

02

Go-to-market and launch

Launch strategy, pricing, channels and community-led growth, including token launches for digital-asset companies.

Experience · Co-founded TrustSwap ($400M+ market cap, users in 75+ countries). Alpaca Network’s community round raised $1.2M in 2 weeks.

03

Marketing strategy

Positioning, brand, messaging and a plan tied to revenue, from the first campaign to a full marketing function.

Experience · Led an 8-figure brand launch at L’Oréal Canada. CMO at TrustSwap. Youngest person ever on the Canadian Marketing Association’s Martech Council.

04

Introductions to capital

Fundraising readiness, investor mapping and warm introductions to angels, funds and family offices. Plus help structuring the round.

Experience · Backed 70+ companies as a founding partner of GDA Capital, including 2 seed-to-unicorn outcomes. Alpaca Network raised $1.2M in 2 weeks. LP at Holt Xchange.

05

Talent and team building

Hiring plans, recruiting pipelines, onboarding and the HR foundations you need before you need them.

Experience · Scaled MLG Blockchain from 4 to 120 employees in 9 months. Built the HR function at Secure Digital Markets as it grew from 9 to 40.

06

Remote-first operations

Distributed teams that work: an async cadence, clear tooling, written documentation and a culture that survives distance.

Experience · Has built and run companies from 75+ countries. MLG Blockchain grew to 120 people fully remote.

07

Strategic relationship building

Partnerships, corporate development and positioning: the relationships that open markets and doors.

Experience · Founding Partner of GDA Capital. Mentor and advisor at Techstars, Founder Institute, Outlier Ventures and FounderFuel.

08

Founder coaching

One-on-one coaching on clarity, energy, decisions and life design, so the person running the company keeps growing too.

Experience · Certified life coach who works with founders and executives on mindset, energy and alignment.

AI companies rarely fail on the model. They fail on distribution, hiring and focus, and that is where we work.

Work with the studio

Building in this space?

Tell us what you’re building and what you need. We read every application, and every founder gets an answer.