Most interior design moves at the speed of one person’s attention. A scheme is only as fast as the designer who can hold the whole property in their head: the budget logic, the supplier lead times, the way a room photographs, the difference between a sofa that survives a holiday let and one that looks tired by the second summer. That knowledge takes years to build and it does not scale. You cannot be in two properties at once, and you certainly cannot be in twenty.
FurnishIQ.ai is our answer to that problem. It is not a moodboard generator and it is not AI guessing at taste. It is the decision-making we already do, made fast and repeatable.
The idea in one sentence
FurnishIQ.ai turns the judgement behind a Tobias Oliver scheme into a system, so a property can be furnished to our standard without waiting on a single pair of hands.
That judgement is the part nobody sees. Anyone can pick a nice chair. The work is knowing which chair, at what price, from which supplier, with what lead time, in a fabric that will actually hold up, sized correctly for the room, and paired with everything else so the whole thing reads considered rather than assembled. That is the engine we have been building.
What it is not
It helps to be clear about this, because “AI interior design” usually means something thinner than what we mean.
It is not a render tool that produces a pretty picture and leaves you to work out whether any of it can be bought. It is not a marketplace nudging you toward whatever pays the highest commission. And it is not generic taste trained on a million Pinterest boards, which is how you end up with rooms that look like every other room.
FurnishIQ.ai starts from the opposite end: the commercial and practical logic first, the look as the output of getting that logic right.
What sits inside the engine
Four things, roughly, and they are the four things that take longest to learn.
Budget logic. Where to spend and where to save so the money lands where it shows. A room has a small number of decisions that carry it and a long tail that does not. Knowing which is which is most of the job.
Supplier knowledge. The houses we have built trust with over the last 20 years, what each one is actually good for, realistic lead times, and the difference between a price and a delivered cost once freight and the rest are in. This is the knowledge that keeps a project on time and on budget.
Buyer psychology. How a space reads to the person who will buy it, rent it, or live in it. A property being dressed to sell is a different brief from a family home, and a holiday let is different again. The furnishing follows the outcome.
Procurement discipline. Turning a scheme into an order that arrives correctly: quantities, finishes, the right thing specified the right way so nothing comes back wrong.
Put those together and you have something that can look at a property and produce a real, costed, buyable furnishing plan, not a mood, a plan.
Who it is for
If you are a developer or investor, the appeal is speed and consistency across multiple units without losing the quality that justifies the asking price. If you are an estate agent, it is a property that photographs well and shows well, faster. If you are furnishing a home of your own, it is the same considered result without the long timeline. The engine does not change. The brief does.
Where it is now
FurnishIQ.ai is in its early stage and we are building it deliberately, with real projects rather than in a vacuum. There is a waitlist open at tobiasoliver.com/furnishiq.ai for anyone who wants to be among the first to use it, and we are speaking to developers, agents and partners who want to shape what it becomes.
The aim has never been to replace design judgement with a machine. It is to take the judgement we have spent years earning and make it move at the speed the work actually needs.
If that is useful to you, join the waitlist or get in touch. We would rather build this with the people who will use it.
Tobias Oliver
7th June, 2026
6th June, 2026
