3Dogs Nexus — investor overview.

What is 3Dogs Nexus and what stage is it at?

Structured decision intelligence: 8–32 independent AI models across three clouds argue a high-stakes business decision and return one recommendation with assumptions, risks, confidence and preserved dissent. The product is live in production and listed on AWS Marketplace, built solo, with model inference running largely on staged cloud credits so burn is low.

We don't make your decisions. We make them better.

A human-governed, multi-model process — discovery, research, adversarial challenge, and documented reasoning — for the choices a business can't take back. A working product, live across three clouds. Raising to reach $250K ARR.

Get the full investor deck → 01 · The problem

The most expensive decisions are made with the least rigor.

A bad hire, a wrong expansion, a misread market — these calls shape years, and they get made under pressure on a gut call or a single chatbot answer. No analyst bench. No board. No second opinion — least of all for the operators and advisors who decide alone. A single model gives one fluent, confident answer while missing the risk, the alternative, or the assumption that changes everything.

02 · The solution

Structured decision intelligence — consulting rigor, software economics, human control.

The rigor a large organization gets from a bench of analysts, delivered as a guided, repeatable process priced for everyone else. Three stages, one continuous process — under human governance.

Discovery

Clarifies the real question, finds the missing information, gathers live cited evidence.

Nexus

Independent AI perspectives debate the decision, challenge assumptions, and reconcile into one documented recommendation.

Evolution

Captures lessons from every case and proposes process improvements — human-governed.

03 · The engine

An orchestra of models — not one voice.

Nexus convenes many independent models, each reasoning from a different logic, then forces a structured debate before a single recommendation is written. Disagreement is the feature.

50+models · open- & closed-weight 3 vendorsAmazon · Microsoft · Google 8–32independent seats per case 5-phasestructured debate, on the record

Every model we use is served through Amazon, Microsoft and Google — open-weight and closed-weight, from many makers. Rotating coordinators and mandatory challengers mean the panel can't quietly collapse into a single agreeable answer; no one vendor's blind spots get to decide.

04 · Where we are

Built, running, and moving to paid pilots.

Liveworking product, multi-cloud Publishedverifiable case studies ~$0infra — on cloud credits Pre-seedstage · founder-led

Proof it works: handed the exact 2008 decision Warren Buffett faced — whether to put $2B into Lehman Brothers to save it — 3Dogs independently reached his verdict (walk away), a reject that named the Repo 105 accounting fraud and the fatal 30-to-1 leverage. The head-to-head → · All case studies →

Operational today

In progress

05 · Market

Start narrow. Win. Expand.

The consulting gap is widest for small operators and the advisors who serve them. Win there first; the same process expands outward — up to the enterprise data room.

Beachhead — now

Small businesses & professional advisors — consultants, accountants, fractional execs.

Expansion — next

Consulting firms & leadership teams that want added challenge and capacity.

Horizon — later

Enterprise, legal, public sector and non-profits facing the same high-stakes calls.

06 · Go-to-market & pricing

A subscription that grows with the customer.

Professional $299/mo — the full platform Corporate $999/mo — up to 5 users Enterprise from $20,000/yr — custom annual scope

An illustrative path to ≈ $250K ARR: 30 Solo + 20 Professional + 10 Corporate + 1 Enterprise ≈ 61 customers. Near-term pilots reach a fraction (≈ $50K ARR), then scale.

07 · Why now & the moat

The pieces just arrived — and the model isn't the moat.

Why now

Defensibility

08 · Founder

Why I'm building this.

AF

“After decades watching organizations make consequential decisions with incomplete information and limited access to outside expertise, I became obsessed with one question: could we build the structured decision process normally reserved for large organizations — and make it accessible to everyone else?”

Alan Finney · Founder — founder-led, capital-efficient, human-governed. Solo-built working product · near-zero burn · funded on cloud credits across three providers.

The investor deck

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A 20-slide overview — the process, the multi-cloud engine, published proof, pricing, traction, capital efficiency, and the ask. Share your email and it's yours.

INVESTOR DECK

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Forward-looking statements and illustrative figures are for discussion purposes. Example cases include real historical analyses (e.g. the Lehman Brothers and Enron studies) and illustrative scenarios, used to demonstrate the workflow — not client engagements or investment advice.