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Patents Pending US 64/050,261 and US 64/057,340 · Confidential

Iris Explore — Partner & Investor Overview
Iris Explore is in it for keeps.

The first platform to build a longitudinal model of who a traveler actually is — and deploy that model before, during, and after every trip. The technology exists. The IP is filed. The demo is live. We are looking for the right partner to scale it.

8
Proprietary traveler types
2
Provisional patents filed
1
Working demo, live now
4
Features found nowhere else

Every major platform — OTAs, AI assistants, concierge services — share the same structural flaw. They optimize for the booking. They do not build a model of the traveler. The result is a $1.4 trillion industry that treats every customer as a generic consumer.

01
The transaction trap
Current platforms optimize for completing a single booking and reset to zero with every new session. No memory. No relationship. No compounding value. Every interaction starts from scratch.
02
Preference forms don't work
Direct preference questionnaires capture static, categorical data that fails to reflect how a traveler actually experiences the world. They ask who you think you are. Not who you are.
03
Disruption solved expensively
Human concierge services carry a significant per-interaction cost that becomes a material operational expense at scale. At any meaningful travel volume this overhead is unsustainable. The Iris platform is designed to address this through synthesis with a partner's existing booking and service infrastructure — bringing intelligent, personality-aware disruption handling to the scale only a major platform can deliver.
How It Works
Building the relationship before you pack, through after you're back.

Iris operates across four integrated phases — each one deepening what it knows about you, each one making the next more precise. The system gets smarter with every trip. The switching cost grows with every conversation.

Phase i.
The conversation begins
The conversation that starts everything. The output is a precise weighted personality profile — the foundation every recommendation is built on.
Iris Gets You
Phase ii.
Before the trip
Profile in hand, Iris builds an itinerary calibrated to who the traveler actually is. Hotels routed by personality alignment. Restaurants surfaced by specific pleasure signals. Every booking made before they land.
Partner Routing
Phase iii.
During the trip
I'm Here activates on demand — real-time personality-matched recommendations wherever the traveler is. All Good?™ handles disruptions in one tap. Check-ins update the profile in real time.
I'm Here · All Good?™
Phase iv.
The profile deepens
Every trip, every check-in, every reaction updates the weighted profile model. Trip two is sharper than trip one. Trip ten is almost telepathic. The relationship compounds with every journey.
Longitudinal Engine
The Platform
Six integrated systems. One longitudinal intelligence layer.

Iris Explore is not a chatbot with a travel skin. It is a computer-implemented system with six novel components, each protectable, each dependent on the others for full effect.

i.
Iris Gets You
Patent Pending
A conversational onboarding engine that derives traveler personality through indirect psychological questioning — anchored in memory, contrast, fantasy, sensation, and failure. The questions feel like a real conversation. The output is a precise, weighted, multi-dimensional traveler profile. The method of the conversation is the invention.
ii.
Longitudinal Profile Engine
Patent Pending
The profile is not static. Every trip, every check-in, every behavioral signal updates the weighted composite model through a specific behavioral signal integration architecture. The system becomes more accurate with every trip without explicit re-questioning. The Iris profile becomes the most accurate model of a traveler that has ever existed.
iii.
All Good?™
Patent Pending
Autonomous disruption resolution activated by a single user tap. A cancelled flight. Construction noise at midnight. A reservation that disappeared. Iris identifies options, surfaces alternatives, and guides resolution — calibrated to the traveler's specific friction tolerance and in synthesis with the partner's booking infrastructure. Addresses in minutes what currently requires expensive human intervention.
iv.
I'm Here
Patent Pending
A consent-activated ambient intelligence layer extending the platform into any moment the user is present somewhere and curious. Layovers. Business trips. Unfamiliar neighborhoods. On only when the user wants it. Location not retained after the session. This drives daily active use outside traditional booking windows — a metric no other travel platform can match.
v.
Group-eze™
Patent Pending
A privacy-preserving multi-profile synthesis engine that derives a composite group travel profile from N individual profiles — identifying shared values, compatible differences, and productive tensions — without exposing any individual's private profile to other members. Group travel fails on whose day it actually is, and who had to give something up. Not a compromise. A synthesis.
vi.
Partner Routing Engine
Patent Pending
Traveler demand routed to destination partners based on personality model alignment, not price and availability alone. Partners receive qualified demand from travelers whose profiles predict satisfaction with their specific offering. Improves conversion, reduces negative reviews, bypasses OTA commission overhead.
Traveler Personality Framework
How Iris Knows You

Iris figures out who you are. Not through a form or a quiz — through a real conversation, designed to reveal how you actually travel. Not what you think you prefer. Not what sounds good. What’s genuinely true about you as a traveler.

The result isn't a single type. It's a weighted profile across eight traveler personalities — a precise composite that reflects the real complexity of how you move through the world. Someone who is 60% Comfort Seeker, 30% Depth Traveler, and 10% Optimizer travels completely differently from someone who is 60% Optimizer, 30% Curious Opportunist, and 10% Comfort Seeker — even if both would describe themselves as "someone who likes good hotels and interesting experiences."

The Pilgrim
Travels for meaning. Drawn to places with historical weight and cultural depth.
The Curious Opportunist
Discovery-driven. The unplanned moment is the whole point.
The Comfort Seeker
Travels to restore. Quality, ease, and predictability matter deeply.
The Depth Traveler
Fewer places, longer stays, deeper understanding.
The Reluctant Explorer
Travels because of others. Can be won over by the right experience.
The Optimizer
Maximum experience, minimum friction. Efficiency is pleasure.
The Serendipitist
Follows instinct. Philosophically opposed to optimization.
The Delegator
High-frequency traveler. Knows exactly what they need and wants it handled.
Proof of Concept
The same city. Four travelers. Four entirely different trips.

The Traveler Personality Framework doesn't describe preferences — it drives every recommendation. The Tokyo proof of concept puts four weighted profiles through a single day in the same city and shows exactly what the system produces: four individual itineraries calibrated to four completely different relationships with travel, and one synthesized group result that serves each of them without asking anyone to compromise.

A
Alex
65% Pilgrim · 25% Depth · 10% Curious
S
Sam
55% Opportunist · 30% Serendipitist · 15% Comfort
J
Jordan
60% Comfort · 30% Delegator · 10% Optimizer
M
Morgan
50% Optimizer · 35% Depth · 15% Curious
Alex gets the temple at 6:30am before the crowds. Morgan gets the same city — tuna auction at dawn, the museum narrowed to two rooms, two contrasting neighborhoods in one afternoon. Same Tokyo. Completely different days. Every decision traceable to a specific profile weight.
The group synthesis identifies that Jordan and Sam cannot share an open afternoon — so the system splits them. Alex and Sam go to Shimokitazawa. Jordan and Morgan go to teamLab Planets. They reunite for dinner at the one restaurant that satisfies all four profiles for different reasons. Not a compromise. A synthesis.
Read the full Tokyo proof of concept — individual itineraries, group synthesis, and the patent claim it illustrates →
Partner Value
What Iris delivers that no existing platform can.

The value proposition adapts to the partnership type. For financial services, it's about cardholder engagement. For OTAs, it's switching cost. For acquirers, it's IP and the data moat.

For financial services partners
Turn travel benefits into daily engagement.
Most premium card travel benefits are used 2–4 times per year. I'm Here turns the same cardholder relationship into daily active use — every layover, every city, every free afternoon. The card becomes the key to a city, not just a booking tool.
For loyalty programs & OTAs
Switching cost that compounds with every trip.
With every trip, the Iris profile becomes the most precise model of a traveler's identity that exists anywhere. Starting over with a competitor means losing everything Iris has learned. Genuine, earned switching cost.
For corporate travel programs
The Delegator profile is worth the entire platform.
High-frequency business travelers have communicated their preferences to booking portals more times than they can count. The system still gets it wrong. Iris learns once, permanently, and executes without being reminded. Every trip reinforces the profile.
For acquirers
The IP moat and the longitudinal data architecture.
Novel patented methods that no competitor has filed. A longitudinal traveler profile architecture that creates data assets compounding over time. A working demo that proves the system. The IP, methodology, and profile architecture are the acquisition target.
Intellectual Property
Five claims. Novel ground. Alice-ready.

Provisional patent applications US 64/050,261 (filed April 27, 2026) and US 64/057,340 (filed May 5, 2026, covering the Group-eze™ multi-profile synthesis system). A preliminary prior art search identified no existing patent covering the specific combination of features in the Iris Explore system. Full technical disclosure and prior art brief available under NDA.

Claim 1.
Indirect psychological conversational onboarding
A specific method for deriving traveler personality through indirect questioning anchored in memory, contrast, fantasy, sensation, and failure. Distinguished from all known conversational profiling prior art on method, not format.
Claim 2.
Longitudinal personality compounding architecture
A specific technical architecture in which behavioral signals update a weighted multi-dimensional profile across sessions. The compounding mechanism creates genuine switching cost and is not present in any single-session profiling system in prior art.
Claim 3.
Group-eze™ privacy-preserving synthesis
A specific architecture synthesizing N individual profiles into a composite group profile while preventing exposure of any individual profile to other members. Likely the strongest individual claim in the portfolio.
Claim 4.
I'm Here consent-activated ambient intelligence
Explicit binary consent activation, personality-model cross-referencing, personality-matched conversational response delivery, and session-end location data expiry. The combination is not found in any identified prior art.
Claim 5.
Partner routing by personality alignment
A specific architecture for routing traveler demand to destination partners based on personality model match, not price and availability alone. Partners receive qualified demand from travelers whose profiles predict satisfaction with their specific offering — improving conversion and reducing negative reviews.
Patent Pending
Provisional Application Nos. US 64/050,261 and US 64/057,340 · Filed April 27, 2026 and May 5, 2026 · Full technical disclosure, prior art brief, and Alice analysis available to qualified partners under NDA.
Every relationship starts with a conversation.

Try the working demo. See the platform for yourself. Then let's talk about what a partnership looks like.

The demo illustrates the profiling methodology — how Iris figures out who you are as a traveler. It is a proof of concept, not a complete trip planning tool.

Try the Demo → Get in Touch →