We observe how industries actually adopt AI, then build the vertical tools that fit.
People use AI differently than predicted
Travellers describe moods to ChatGPT, not keywords. Brokers draft relationship notes, not reports. Real adoption patterns diverge sharply from how tools are built - and that gap is where the opportunity lives.
Every industry has its own AI behaviour
A hotelier uses AI nothing like a yacht broker. Horizontal tools - built for everyone - miss the specific workflows, relationships, and discovery patterns that define each industry's actual use.
The right vertical tools do not exist yet
Most AI tools are optimised for volume, not fit. We study specific industries, identify the gaps that horizontal tools structurally miss, then build what fits - from the behaviour up, not from the technology down.
Travellers ask AI for hotel recommendations. Most independent properties are invisible to those answers. FindingFin monitors how AI engines see your property and optimises your presence across ChatGPT, Gemini, Perplexity, and Claude.
Yacht and luxury brokers spend hours drafting relationship notes, client briefs, and market comparisons. Meridian studies how brokers actually use AI in their workflows and builds tools that match those patterns - not generic CRM automation.
Procurement teams are adopting AI for supplier evaluation, but the tools they reach for are built for sales teams. Protocol studies procurement-specific AI behaviour and builds workflow tools shaped to how buyers actually evaluate and compare.
A five-phase plan for independent hotels to become visible in AI travel recommendations. Combines technical foundations, content strategy, and ongoing optimisation into a practical roadmap.
Read →AI engines extract and cite specific types of content. This guide covers the content structures, formats, and writing patterns that increase your chances of being recommended.
Read →Knowing your AI visibility score is useful. Knowing what to change is what actually matters. At Delphium Labs, we think the industry is focused on the wrong problem.
Read →Where the UK hospitality industry stands on AI visibility in early 2026. Most businesses remain invisible to AI recommendations, creating a significant first-mover advantage for those who act now.
Read →Most boutique hotels are invisible to AI travel recommendations. Delphium Labs analysis identifies the five technical gaps that cause this and the specific fixes that restore visibility.
Read →Each AI engine recommends hotels and restaurants differently. Delphium Labs tested 300 queries across all three to map where each engine sources its answers and which matters most for your business.
Read →Booking.com, Expedia, and TripAdvisor are building AI-powered travel assistants. For independent properties relying on direct bookings, this creates a new competitive threat that traditional SEO cannot address.
Read →How to implement Hotel, Restaurant, LocalBusiness, and Event schema markup so AI engines understand your hospitality business. Includes JSON-LD examples ready to use.
Read →We embed with businesses in specific industries and watch how people are actually using AI - not what they say they do, not predictions, not surveys. Real workflows, real queries, real friction.
Behavioural patterns become hypotheses. We run controlled interventions with real businesses and measure what actually changes. Ideas that don't survive testing don't become products.
Validated patterns become vertical tools - built from the behaviour up, not the technology down. Shaped to how people in each industry actually use AI, not how we think they should.
We partner with independent operators, domain experts, and research teams who want to understand how AI is actually changing their industry.
Hotels, brokerages, clinics. If you're living the problem our research covers, we'd like to work with you directly.
We publish findings from our behavioural studies and share our methodology openly. Collaboration with domain researchers is welcome.
Read our research →We're building vertical AI infrastructure for industries being left behind by horizontal tools. If you're interested in the thesis, let's talk.