I'm building TravUp — a verified travel knowledge base created through human expertise and fieldwork from over 50 cities
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I'm building TravUp
I'm building TravUp
was posted by Tatiana Danilenko
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Featured on Aug 14, 2026 (23 days ago).
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Hi Travel Massive community, I'm building TravUp and I'd love your read on my project.
Travelers can now book nearly every component of a trip online. But turning those bookings into a journey that actually works remains remarkably difficult.
Flights have been digitized. Hotels have been digitized. Activities have been digitized. Travel expertise has not.
For those of us building travel products, the question is no longer whether AI will influence the journey. The question is whose knowledge will it rely upon? And how will that knowledge be verified? These are the problems we are solving with TravUp.
A quick note on how I got here
Before entering travel, I earned a PhD in oil refining and spent nearly two decades managing international teams, complex operations, and billion dollar budgets. Then I left that career to pursue something I genuinely loved: creating immersive travel experiences.
I first launched a company that designed multiday journeys extending far beyond traditional sightseeing. The goal was not to visit famous landmarks, but to help travelers understand a country through its history, culture, food, local stories, and everyday life. With only three tour programs, we were receiving 250 to 300 inquiries every month. The response confirmed that travelers want carefully designed journeys where every stop, transition, and recommendation had a purpose.
But the model could not scale. Every journey required weeks of research, field testing, logistics planning, and refinement by experienced travel designers. We could create these experiences for only a limited number of travelers. That realization forced us to ask a different question: could we scale travel expertise itself?
The problem we eventually found
At first, we assumed travelers needed a better planning tool. The deeper we looked, the more we realized we were solving the wrong problem. Planning was only part of the challenge. Execution is a real problem. Travelers spend weeks researching a multiday trip and still encounter costly mistakes once they are on the road.
The travel industry has become remarkably good at helping people book flights, hotels, rental cars, activities, and restaurants. But someone still has to connect those pieces into a coherent experience. That requires deciding what to visit, in what order, how long to stay, when to slow down, and how to account for opening hours, travel times, and local conditions. These decisions determine whether a journey feels natural or rushed.
Experienced travel designers make these decisions using knowledge accumulated over years. Their value lies not only in managing logistics, but in understanding how hundreds of small choices affect the overall journey. We realized that the missing layer is not another booking platform. It is travel expertise itself.
How we're solving it
This insight shaped the development of TravUp. Rather than asking AI to invent journeys from scratch, we began capturing and structuring the knowledge that traditionally lives inside the heads of experienced travel experts.
AI can produce an itinerary in seconds, but that isn't enough. A great itinerary is not just locations and content. It is a sequence of decisions that works in the real world. Ignore opening hours, travel times, seasonal changes, local conditions, or a traveler's natural pace, and one mistake can mean hours lost on the road, missed experiences, unexpected costs, or unnecessary stress.
At TravUp, we chose to begin with something less visible but more fundamental: a verified travel knowledge base created through human expertise and fieldwork. Routes are researched, traveled, tested, fact checked, and refined before AI enters the process, every stop filled with immersive storytelling. Cultural and historical information is cross referenced with reliable sources, because trust matters as much as convenience.
Today, that knowledge base supports 13 journeys tested in the field across more than 70 cities in four countries, including more than 10,000 curated images, over 200 hours of narrated audio, and hundreds of practical decisions handled on the traveler's behalf. Only then does AI enter the process, not to replace expertise, but to personalize how it is applied to each traveler's interests, pace, budget, and changing circumstances. For us, that is the difference between generating an itinerary and helping someone navigate a journey.
What I'd love from this community
Today, TravUp is live. Now we're focused on early adopters, like you, and before we push harder on growth I want to pressure test the core thesis with people who understand this industry deeply.
My ask: what do you make of the approach? Does the idea of a verified, human built knowledge base as the foundation for AI resonate with how you see travel technology evolving? Where do you think it is strongest, and where might it fall down?
The core idea strongly resonates with me. Through Journey Beyond the Horizon, I have found that the real challenge is often not identifying places of interest, but understanding whether a route works as a coherent journey in real conditions.
A landmark may remain unchanged, while access roads, trails, seasonal conditions, restrictions, transport connections, realistic travel times, and even the logical order of stops can change significantly. This is especially important in mountain regions, remote areas, and complex overland routes, where information from aggregators may be incomplete or misleading.
I therefore see the human-built and field-tested knowledge base as TravUp’s strongest element. The main challenge, in my view, will be maintaining not only accurate POI data, but also current route-level and access-level knowledge. If that layer can be preserved and updated, AI could become genuinely useful for applying verified expertise rather than merely rearranging generic online information.
As part of early access, we’re giving 3 months free specially for Travel Massive members.
Use promo code TRAVELMASSCOM3M by August 31.
Or redeem it using the links.
App Store:
apps.apple.com/redeem?ctx=offercodes&id=6758667212&code=TRAVELMASSCOM3M
Google Play:
travelupapp.com/redeem?code=TRAVELMASSCOM3M
Super user friendly and !
Cool
good idea it will helps travels
Great idea! while AI has provided some great solution, there are many where it needs to word hard!
Just curious, you mentioned that information is gathered, checked and tested... how do you gather the information and ensure that it is relevant and up to date because these days, things change so fast.
Thanks for you comment and kind words!
The itineraries are designed manually due to the complexity of real-world travel planning.
The great thing about our solution is that landmarks don't actually change. Countries preserve their heritage and tourist attractions, so there's almost nothing to update in the main Points of Interest.
What does change is transportation, opening hours, contact information, and food recommendations. We regularly update this information using data aggregators such as Google Maps and transportation platforms.
I like the ideal, I will be checking out you app.
Thanks. I'll really appreciate your honest feedback and your review in the app store
Sounds a brilliant idea!
thank you! will be happy to hear your genuine feedback
It's wonderful and concrete. 👍
Thanks! I'll be very happy to get your review in the app store
Love this! Verifying the knowledge before AI gets to it just makes sense, feels like everyone else skips that step.
Exactly! That's what we are solving for being applicable in real life