Galya AI

Computing Human Taste for AI.

[Galya AI @galya_ai]

The next generation of AI products won’t just answer questions — they’ll act on behalf of users.

For agents to make real decisions, they need to understand something most AI still struggles with: human taste.

At Galya AI, we’re building infrastructure to compute taste.

We turn how people engage with images, video, text, and audio into structured preference intelligence that AI systems can actually use.

At the core is our multimodal taste graph: it models relationships between users, content, and aesthetic patterns so agents make choices grounded in what people actually like — not just what they type into a prompt.

We’re starting with AI-native travel: itinerary generators, hospitality copilots, and travel intelligence platforms, where taste drives discovery and booking.

As agents increasingly act on behalf of users, systems will need a way to compute taste across content, context, and behavior.

That’s what we’re building at Galya AI.

🌐 https://t.co/AlJk2Fpyoz

[Galya AI @galya_ai]

We’ve opened the Galya waitlist.

We’re currently onboarding a small group of design partners building AI-native travel products to work closely with us as we develop Galya’s multimodal taste graph.

If you’re building in AI travel or hospitality and know personalization will be critical to your product — but now isn’t the right time to join the design partner cohort — you can join the waitlist.

We’ll reach out as soon as Galya is ready for broader integrations.

🔗 Join here: https://t.co/vhbk8eAbRc

#TravelAI
#TravelTech
#ArtificialIntelligence
#AIStartups
#AIInfrastructure
#Personalization
#AITools
#StartupBuilding
#FoundersBuilding
#TravelInnovation
#GalyaAI

[Galya AI @galya_ai]

Quick question:

Have you ever picked a hotel mostly because of how it looked—even if it wasn’t the top‑rated option?

Reply with the place and why you chose it

[Galya AI @galya_ai]

When you’re choosing where to go next, what matters more:
reviews, price, or how a place looks and feels?

Curious how people actually make travel decisions 👇

[Galya AI @galya_ai]

At Galya, we’re building the infrastructure layer that helps AI systems compute human taste—grounded in aesthetics, experiences, and content engagement, not just keywords.

If you’re interested, let’s chat. DMs open.
🌐 https://t.co/4QVo9b2yrY

#AI #AestheticIntelligence #TasteGraph #TasteBasedPersonalization

[Galya AI @galya_ai]

AI systems today are great at answering questions.

But they still struggle with something humans do naturally: taste. Two people can search for the same thing and want completely different results.

[Galya AI @galya_ai]

Travel question:
Which hotel or stay felt most like you—even if the ratings, filters, or “top picks” didn’t put it first?

Reply with the place and what about it matched your taste 👇

[Galya AI @galya_ai]

If you’re building in this space and this resonates, reply “taste” or DM us.

🌐 https://t.co/MXGTNO8duy
🗓️ https://t.co/q65UpJwRKu

#GalyaAI #AestheticIntelligence #TasteGraph #TasteBasedPersonalization #FutureOfTravel

[Galya AI @galya_ai]

We’re looking to partner with a small group of teams building AI‑native travel products.

The question we keep hearing while building Galya:

How do you translate image signals and aesthetic preferences into better recommendations?

[Galya AI @galya_ai]

We’re opening a design partner program for teams building:

→ AI itinerary generators
→ AI hospitality copilots/chatbots
→ travel discovery platforms
→ AI travel assistants

You’ll be able to plug into Galya via API / MCP / agent‑native graph and experiment with taste‑based ranking and A/B tests on recs.