The Science of AI SaaS™

Turn what you know
into what you sell.

We build AI-powered software products that turn your hard-won knowledge into scalable, subscription-ready offerings. Instead of selling time, you sell outcomes.

Who This Is For

Built for founders who want
to scale beyond headcount.

You run a successful services business. Revenue grows when you hire more people — and shrinks when they leave. You've been wondering whether there's a way to package what you do into something that earns while you sleep.

AI Product Build is how you get there. We take your domain expertise and turn it into a software product that serves your clients at scale — with recurring revenue, higher margins, and a business model that compounds.

01

Revenue capped by headcount

You can only take on as many clients as your team can serve. Growth means hiring, and hiring means more risk and overhead.

02

Deep domain expertise to package

You've spent years building a methodology that delivers results. It deserves to reach more clients than your current model allows.

03

You want to stop selling time

You're ready to move from trading hours for fees to building something that compounds — subscriptions, licences, and platform revenue.

The Method

The Science of AI SaaS™

From vision to paying customers in four structured stages. Each stage validates before we invest more — so we only build what the market actually wants.

Hypothesis
Stage 01 — Hypothesis

Shape the vision

We create a vision and strategy for a new AI-powered software product that will deliver more value to your existing clients or the wider market. Clear positioning, clear differentiation.

Experiment
Stage 02 — Experiment

Validate with real buyers

We build and run a small experiment to test the product concept with your existing customers or the wider market. Real demand signals before real investment.

Formulation
Stage 03 — Formulation

Build the minimum loveable version

Once we've validated demand, we use the experimental data to improve the product and build the first minimum loveable version — something a paying customer can use independently.

Execution
Stage 04 — Execution

Grow and retain

Once the product is live and paying customers are using it, we shift focus to reliability, growth, and long-term retention. R&D roadmap driven by real customer data.

The Outcome

A product that earns
while you sleep.

New recurring revenue, higher margins, and a business model that compounds over time. A product that serves your market 24/7 without adding headcount.

Subscription-ready software product built from your expertise
Validated by real market demand before the main build begins
Revenue that doesn't require you to be in every client engagement
A business model that compounds — more customers, lower marginal cost
Engagement Structure

Typical Scope

Product Build is the most substantial of our three service lines — because we're building something that will generate revenue for years. Here's what a typical engagement looks like.

PhaseTypical Effort
Hypothesis1 × R&D Sprint
Experiment1 × R&D Sprint + 1–3 Dev Sprints
Formulation3 × R&D Sprints + 4–6 Dev Sprints
Execution3–5 Maintenance days/month + Customer Support + ongoing R&D roadmap

Exact scope is agreed in the free discovery call. We only move to Experiment once the Hypothesis is fully validated.

See It in Action

From prototype to paying customers
in three months.

AI Product Build SaaS
AskPhi platform

AskPhi — Behavioural Science to SaaS Product

Jason Nguyen had a prototype built with Claude Code. It proved the concept but couldn't face a paying customer. Ferrous Labs took it to a production-grade MLP in 3 months.

Read the case study

Ready to stop selling time
and start selling outcomes?

Book a free discovery call. We'll explore the product opportunity, map your expertise into a viable product concept, and assess the market — no commitment required.