Build 05 — AI SaaS Product Build

Turn what you do
into a product you sell.

A recurring-revenue SaaS product, built on your expertise and your data, sold to your existing customers or to new ones. Co-built and (typically) co-owned with us — our return depends on the product working, not just delivering.

Productising your consultancy means turning a repeatable, high-value part of what your experts do into a software product your customers pay for directly — recurring revenue instead of billed hours. The AI SaaS Product Build is how Ferrous Labs co-builds that product on your own expertise and data, takes it to paying customers, and keeps improving it after launch.

Who this is for

Built for founders
sitting on something productisable.

01

You have proprietary expertise and customer relationships.

You know the market. Your customers trust you. There is something they would pay for if it existed as a product, not a service.

02

You can't build the technical layer alone.

You don't have the ML or product-engineering team. Hiring would take 18 months. You need a partner who can build the product and stay invested in its success.

03

You're willing to share the upside.

The Equity Partnership is the most common path: you bring distribution, data or domain anchorage; we bring the build. The product is co-owned. Both sides win when it works.

What you walk away with

A product in market.
Customers paying. Equity in something growing.

A recurring-revenue product.

Live, paying customers, growing MRR. Not a prototype. Not a pilot. A real business inside your business.

Co-ownership.

Equity Partnership — you take the majority of the product entity, we take 20–40%. Both sides invested in the long-term outcome.

A defensible moat.

Built on your proprietary data, your customer relationships, or your domain anchorage. Gets more valuable as models improve, not less.

A technical partner who stays.

Our return depends on the product growing. We continue building features, evolving the model, and improving the unit economics for as long as you keep us around.

What you might build

Product patterns that work.

Productised expertise

What your senior team does today, packaged and sold as a self-serve product to your existing customer base.

Predictive products on proprietary data

Predictions your customers can't get elsewhere because they don't have your data.

Trust and governance products in regulated markets

Products that own a piece of trust, context or liability that doesn't commoditise.

Related reading: how expert businesses build recurring revenue, productising consulting services, and proof-of-demand validation.

How we build this

The Science of AI SaaS™.

The product compounds, not stalls. We launch with you and stay invested.

Hypothesis
Stage 01 — Hypothesis

R&D Sprint — 5 days

Product vision, business model, ICP, partner-deal scope. Output: a product brief and a partnership term sheet.

Experiment
Stage 02 — Experiment

MVP build

Designed to ship to first customers fast — to validate that they'll actually pay before we go to production scale.

Formulation
Stage 03 — Formulation

Production product

Payments, multi-tenancy, scaling, polished UX, evolving model. The product that holds up to growth.

Execution
Stage 04 — Execution

Launch + ongoing build

We launch with you. We add features as the product evolves. The product compounds, not stalls.

Why we co-own

Both sides invested. Both sides aligned.

Most agencies build a product, hand it over, and walk away. The product stalls within months because nobody cares once the invoice is paid. We take equity because we want the product to keep growing — and we want our return to depend on whether it does.

Frequently asked questions

Productising your expertise — common questions.

How do you turn a consultancy or area of expertise into a SaaS product?

Productising a consultancy means turning a repeatable, high-value part of your expert work into software your customers pay for directly, rather than buying your time. Ferrous Labs builds that product on your own domain knowledge and data using a four-stage method, The Science of AI SaaS™: a short R&D sprint to define the product and business model, a fast MVP to prove customers will pay, a production build, then launch and ongoing development. The result is a live, recurring-revenue product — not a prototype.

What is the AI SaaS Product Build service?

The AI SaaS Product Build is a co-built, typically co-owned recurring-revenue software product built on your expertise and data. Ferrous Labs contributes the engineering and product capability; you contribute the domain knowledge and customer access. The output is a working SaaS product your customers pay for monthly — not a prototype, and not a tool for internal use only.

What kind of business is a SaaS product build suited to?

It suits businesses with a repeatable, high-value workflow that their customers also need to solve. Common fits include specialist consultancies that want to productise their methodology, professional services firms with proprietary assessment or scoring frameworks, and domain experts whose knowledge is currently locked inside a small number of senior people and cannot scale without software.

Does Ferrous Labs take equity in the SaaS product?

In most cases, yes. Ferrous Labs co-builds the product and typically holds a minority equity stake. The specific arrangement — equity percentage, revenue share, and buyout options — is agreed at the start of the engagement and documented in a joint venture agreement. The structure is designed so both parties are incentivised to make the product succeed.

Have something productisable?

Talk to a co-founder.

30 minutes with a co-founder. Or kick off your R&D Sprint.