KANOE.ai

The Operating System
for Travel

Technical OverviewAgentic AI PlatformSeed Stage
Platform Overview

What is Kanoe.ai?

The Operating System for Travel — an AI-first, crypto-native unified infrastructure layer for OTAs, ITAs, and DMCs.
🧠
AI Orchestrator
Agentic AI agents (Sasha, Juan, Tyler, Anna) handle pricing, recommendations, and ops in real time.
🔗
Unified Travel API
Single integration hub aggregating Amadeus, Duffel, Viator, HotelsPro, and more inventory sources.
₿
Crypto-Native Rails
One settlement layer for B2B and B2C. Every counterparty. Any payment method, including crypto.
📈
Post-Booking Engine
Continuous optimisation after booking. Alerts, re-pricing, vault storage, and journey memory.
Core USP

Agentic AI — The Intelligence Core

Four specialised AI agents coordinate across every platform role, autonomously and in real time.

OTA Agent
OTA
End-to-end OTA ops: search, quote, book, notify and account management. LLM-driven with realtime voice & avatar interface.
ITA Advisor
ITA
Personal travel advisor mode. Constraint-aware, preference-learning, bespoke itinerary builder.
DMC Ops
DMC
Ground operations: logistics SPs, supplier comms, group management and multi-stop coordination.
Platform Admin
Admin
System-wide oversight: analytics, white-label config, tenant branding, compliance & reporting.
LLM Backbone: OpenAI GPT-4o · Anthropic Claude · Google Gemini · Perplexity · D-ID Avatar · UNITH
Architecture

Platform Architecture

Interface Layer
LLM Chat · Voice Avatar · Admin UI · White-Label B2B Dashboard · Branding Config Manager
Intelligence & Orchestration
Rules Engine · Scoring Engine · Prompt Engine · Session Memory · Constraint Manager
Commerce & Content
Booking Engine · Payment Gateway · Order/Offer Manager · Journey Manager · Preview Generator
Integration & API Layer
Amadeus · Duffel · Viator · HotelsPro · Trainline · Expedia · Rover · REST OpenAPIs
Data & Analytics
PostHog · Metabase · AWS S3 · Cloudflare R2 · Analytics Engine · Report Generator · Vault (Dry Bag)
Built to Scale

Technology Stack

Frontend
Flutter (iOS/Android/Web) · React / Next.js
AI / LLM
OpenAI GPT-4o · Anthropic Claude · Gemini · Perplexity
Backend
Python FastAPI · Redis · PostgreSQL · CI/CD
Messaging
Twilio · Email Webhooks · Notification Engine
Payments
Stripe · Coinbase Commerce · Redsys · PayPal
Hosting
AWS · Cloudflare · EU-hosted GDPR-compliant infra
Docs / Vault
AWS S3 · Cloudflare R2 · Session Vault (Dry Bag)
Analytics
PostHog · Metabase · Custom Reporting Engine

EU-hosted, GDPR-compliant alternatives preferred across the stack to support regulatory alignment and future grant eligibility.

Integrations

Partner Ecosystem & Integrations

Travel Providers
AmadeusDuffelHotelsProViatorTrainlineExpediaBooknbookRatehawk
AI Engines
OpenAI GPT-4oAnthropic ClaudeGoogle GeminiPerplexityD-ID AvatarUNITH
Data & Analytics
AWS S3 / GluePostHogMetabaseRateGainCloudflare R2Tableau
Commerce & Payments
StripeCoinbase CommercePayPalRedsysTwilio
Sasha — OTA Agent
User Journey

The Solo Explorer

AI-guided end-to-end — from first intent to post-trip memory. All steps orchestrated by Sasha with live memory, messaging & vault.

01 — Intent Capture
User: "I want a long weekend in Lisbon, mid-June, under €800"
Kanoe: Sasha activates, parses constraints, opens session memory
02 — AI Itinerary Build
User: Receives curated 3-day itinerary with flights, hotel & activities
Kanoe: Scoring engine ranks options; content composer renders preview
03 — Live Pricing Check
User: Sees real-time prices with availability indicators
Kanoe: API layer hits Amadeus, Duffel, HotelsPro; availability sync
04 — One-Click Booking
User: Confirms booking — pays by card, PayPal or crypto in one flow
Kanoe: Booking engine orchestrates calls; payment gateway handles transaction
05 — Post-Booking Ops
User: Receives confirmation, boarding pass & hotel voucher
Kanoe: Vault stores all docs; notification engine sends multi-channel alerts
06 — Memory & Return
User: "You went to Lisbon in June — fancy Porto next?"
Kanoe: Session memory recalls preferences; post-booking engine flags re-pricing
Always on: Session Memory · Messaging Engine · Vault (Dry Bag) · Notification Engine · Analytics · Human-in-Loop escalation
Roadmap Horizon
Product Roadmap v1.0

Now, next,
later.

Now
May–Jun 2026
01
Multi-currency & API layer Live
02
Agentic agent framework In Flight
03
Booking engine & webhooks In Flight
04
B2B white-label dashboard In QA
05
Stripe + crypto payment rails Coming
06
Notifications & vault Ready for QA
Next
Jul–Sep 2026
01
API Hub connectors — Amadeus, Duffel, Viator, and 52 others
02
Production environment & GCP hardening
03
Admin dashboard & KYC onboarding
04
Dispute resolution & partial refunds
05
Group & niche traveller journey flows
06
2–4 paid pilot client launches
Later
Q4 '26 → Q3 '27
01
Added banking partner finalisations
02
Crypto settlement corridor scale
03
FX optimisation & AI routing
04
Accounting connectors (NetSuite)
05
International expansion: UAE - SEA
06
Tokenised credit & receivables
Why Kanoe.ai Wins
Why Kanoe.ai Wins

Unfair Advantages

🧠
Agentic AI-First
Not a chatbot. Four specialist agents autonomously execute end-to-end travel workflows. Search, book, notify, optimise.
🔗
Unified API Infrastructure
Single integration replacing 10+ point solutions. One contract, one SDK, all major inventory sources.
₿
Crypto-Native Settlement
Only travel OS with native crypto payment rails. B2B + B2C settlement, a massive unserved market.
📈
Post-Booking Optimisation
AI continues working after confirmation: re-pricing, alerts, memory recall, vault. Revenue beyond the booking.
🏷️
White-Label B2B
OTAs, ITAs, DMCs deploy under their own brand. Multi-tenant, branding config, and analytics built in from day one.
🚀
Speed to Market
MVP validated on Base44. v3 UI complete. First pilots scoped. Seed capital funds direct product-market fit acceleration.
Engineering

Agent Architecture

One Conductor. Hundreds of Specialist Agents. Zero inter-agent confusion.

How It Works
Sasha — AI Concierge Interface
↓
The Conductor — Intent Router
↓ routes in parallel ↓
⛳ Golf
Agent
💆 Beauty
Agent
📸 Foto
Agent
🍽 Restaurant
Agent
🏥 Health
Agent
+ 100s
more
↓ merged response ↓
One seamless Sasha reply
Design Principles
Specialists, Not Generalists
Each agent has one job. It knows its domain, its data sources, and nothing else — no confusion, no hallucination drift.
Agents Never Talk to Each Other
All communication flows through The Conductor. Keeps context clean and prevents compounding errors.
Parallel Execution
Multiple agents fire simultaneously via asyncio. Golf + spa query = both answers in one response, not two turns.
No APIs Required
Agents use web scraping, email agents, and WhatsApp bots — plugging into the real world without vendor API access.
Adding a new capability = one new agent file + one line in the registry. No changes to The Conductor, no changes to Sasha.
Engineering

Token Cost Optimisation

Three-level architecture targets $0.02–$0.05 per full conversation end-to-end

LLM Routing by Task
TaskModelEst. Cost
Intent classificationHaiku$0.0001
Web search / contact lookupHaiku$0.0008
RAG retrievalHaiku$0.0002
Agent tool use loopSonnet$0.008
Response synthesisSonnet$0.004
Full conversation (blended)Mixed$0.02–$0.05
Move to AWS Bedrock when first enterprise B2B client lands — enabling compliance docs + volume pricing.
Three Levels of Intelligence
Level 1 — Prompt Engineering
System prompts scope each agent to client inventory. Fast, flexible, already live. No retraining.
Level 2 — RAG / pgvector (Next)
Client inventory in Supabase vector DB. Retrieval injects only relevant context — scales to thousands of locations without bloating prompts.
Level 3 — Fine-Tuning (Future)
Model trained on client-specific data. Reserved for enterprise tier. Levels 1+2 deliver 90% of value for most OTA deployments.
Cheap tasks run on Haiku. Complex synthesis on Sonnet. Prompt caching further reduces cost on repeat queries.
Product

Smart Sasha

Fuzzy inputs. Instant parallel search. Progressive refinement. No interrogation.

How It Works
1 — Extract
"Western Europe, this summer, business class, cheapest" — origin, cabin, goal extracted. Duration and destination flagged as fuzzy.
2 — Assume and Search
Smart defaults applied. 12 parallel searches fire instantly: ORD to LHR, CDG, AMS, FRA across 3 date windows.
3 — Ask One Question
While searches run: "How long are you thinking?" Highest-impact unknown only. Never an interrogation.
4 — Rank and Refine
Results scored by price, quality floor, flight duration, points value. Top 3 options surfaced. Refine conversationally.
Scoring Engine
Total price40%
Quality floor met20%
Flight duration15%
Points value15%
Airline preference10%
No travel platform does this today. Google Flights searches. Kayak compares. Smart Sasha optimizes — conversationally, in real time, for your specific situation.
Product

Credit Card Intelligence

Sasha knows your cards, your points, your benefits — and your rental car coverage. She optimizes every transaction automatically.

Live Examples
FLIGHT PURCHASE
"Which card for my Lufthansa flight to London?"
Use Amex Platinum — 5x points
5,000 MR points worth ~$100. Effective cost $900 not $1,000. Chase Sapphire earns only 3x — $55 less value.
RENTAL CAR INSURANCE
"Renting in Italy 5 days — should I take the insurance?"
Decline CDW — Chase Sapphire Reserve covers you
PRIMARY coverage in Italy. Save EUR 100-150. Add supplemental liability only — card does not cover third-party damage.
FULL TRIP STRATEGY
"Paris trip — flight $2k, hotel $1.5k, dining $400, transport $150"
$292 in points value identified automatically
Amex Platinum for flight (5x). Chase Sapphire Reserve for hotel, dining, transport (3x + $300 travel credit).
What Sasha Optimizes
Points earn rate per transaction
Highest-earning card per category — flights, hotels, dining, transport, rent.
Annual credits before expiry
Tracks unused $200 airline, $300 travel, hotel credits — routes spending to use them.
Transfer partner optimization
14 airline + hotel partners per card. Finds highest-value redemption path automatically.
Rental car insurance coverage
Knows exactly what each card covers by country, vehicle type, and rental days. Tells you what to decline at the counter.
"On a $4,050 Paris trip Sasha identified $292 in points value across three cards — automatically."
Real result from live system test, June 2026
Integration
Plaid (optional)10-card benefits DBPoints valuation engineRental coverage DBTransfer partner map
KANOE.ai

Kanoe.ai is building the
operating system for travel.

AI-firstCrypto-nativeB2B infrastructureAgentic
Open
Seed Round
MVP v3
Platform — Demo ready
2–4
Pilots in scope
Contact — jon@kanoe.ai
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