Test frontier.

Build works.

We study how people in different industries organically adopt AI, then build the vertical tools that match their real behaviour.

Applied AI Research - London, UK
01

People use AI differently than predicted

Ask a traveller how they use AI and they will tell you they asked for 'a cosy hotel near the coast with good food.' Ask a broker and they will tell you it helped them write a note to a client they had not spoken to in months. The interesting thing about AI adoption is that almost none of it looks like what the industry expected.

02

Every industry has its own AI behaviour

The way a boutique hotelier uses AI has about as much in common with how a ship broker uses it as their businesses do with each other. Which is to say, almost nothing. Industry-specific behaviour demands industry-specific tools. The generalists will always lose on the details.

03

The right tools do not exist yet

There is a pattern in technology: the first generation of tools is always horizontal. Then someone studies how a specific group actually works and builds something that fits. We are at the beginning of that second phase for AI. The right tools have not been built because the right research has not been done.

FindingFin

AI Visibility for Hospitality

Travellers ask ChatGPT for boutique hotel recommendations. Couples ask Perplexity for wedding photographers. AI curates 3-5 options from thousands. FindingFin makes sure independent businesses appear in those answers.

40%
of travellers use AI for discovery
72%
of AI hotel picks are chains
Explore FindingFin

Meridian

Relationship Intelligence for Brokerage

Ship brokers, yacht brokers, and luxury asset dealers manage long-cycle, relationship-heavy deals across fragmented channels. Meridian studies how brokers are organically using AI to maintain relationships and surfaces the tools they actually need.

18mo
average deal cycle in brokerage
73%
of brokers use AI for client comms
Research phase
01

Observe

We study how people in specific industries are organically adopting AI. Not surveys or predictions. Real behaviour, real workflows, real queries.

02

Test

Behavioural hypotheses become experiments. We run controlled interventions with real businesses and measure what actually changes.

03

Build

Validated patterns become products. We build vertical tools shaped to how people in each industry already use AI, not how we think they should.

Built with industry, not for it

We partner with independent operators, domain experts, and research teams who want to understand how AI is actually changing their industry. If you are building in the space or living the problem, we want to hear from you.