K
Awaira Score
35
Out of 100
Valuation
N/A
Post-money
Total Raised
N/A
All rounds
Awaira Score
35/100
Founded
2019
10-50 employees
What They Build
March 2026KOGO AI is an AI-powered travel planning and personalization platform that uses conversational AI to help users discover, plan, and book complex travel itineraries through a natural language interface, replacing the fragmented process of searching multiple travel sites with an integrated AI concierge that understands preferences and generates personalized travel recommendations. The platform targe…
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StageSeed
Employees10-50
Country🇮🇳 India
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Funding Rounds
Seed · No public funding round data available yet.
Founded Same Year (2019)
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View all alternatives to KOGO AI →Frequently Asked Questions
What is KOGO AI's valuation?▾
KOGO AI's valuation is not publicly disclosed.
Who invested in KOGO AI?▾
Investor information for KOGO AI is not publicly available at this time.
When did KOGO AI last raise funding?▾
No public funding round data is currently available for KOGO AI.
How many employees does KOGO AI have?▾
KOGO AI has approximately 10-50 employees.
What does KOGO AI do?▾
KOGO AI is an AI-powered travel planning and personalization platform that uses conversational AI to help users discover, plan, and book complex travel itineraries through a natural language interface, replacing the fragmented process of searching multiple travel sites with an integrated AI concierge that understands preferences and generates personalized travel recommendations. The platform targets both consumer travelers and corporate travel managers seeking intelligent itinerary automation.\n\nThe company is in Seed stage with limited publicly disclosed funding and is developing its AI travel planning capabilities in a market that has seen significant interest from AI-native travel startups globally. KOGO AI's conversational approach to travel planning reflects the broader trend of applying large language model capabilities to high-consideration purchase decisions where personalization and context retention across a multi-step planning process are critical.\n\nTravel planning is a high-frequency, high-value consumer decision that has historically required significant manual research effort. AI agents that can automate itinerary generation, surface real-time pricing, and remember individual traveler preferences represent a genuine improvement over current search-and-book workflows, and the conversion economics of travel bookings provide a clear revenue model for AI travel assistants.