Investor Overview · Seed Round 2026
AI-powered platform for premium individual travel & white-label SaaS for tour operators. Building the infrastructure layer for the next generation of personalised travel.
The Opportunity
Three structural failures create a single window of opportunity — and a 12–18 month first-mover advantage for an AI-native entrant.
56% of travellers in 2026 want private, tailored trips. 73% seek genuine cultural immersion. The standard offering delivers neither — algorithmic uniformity instead of depth.
Source: WeTravel & Twilio Future of Travel 2026
80%+ of agencies manage 4+ content sources with no integration. 41% cite manual processes as their single biggest growth constraint — AI adoption sits at 66% but mostly without strategy.
Source: Sabre & WeTravel 2026
Discovery, booking and support run across 4+ disconnected systems. 95% of travellers believe AI will improve travel — virtually no operator delivers on that promise.
Source: Twilio Future of Travel 2026
Our Answer
One platform. Two revenue streams. Built AI-first from day one — validated in production with Individual Journey as a live proof-of-concept.
24/7 intelligent concierge that understands traveller preferences and generates fully personalised itineraries in seconds — across any destination, budget, or group composition.
Direct supplier connectivity, automated booking execution, and real-time price optimisation — removing the manual back-and-forth that costs agencies 41% of their growth potential.
Real-time assistance throughout the journey: rebooking, local recommendations, emergency support — turning a one-time transaction into an ongoing relationship.
Other tour operators license our full platform under their own brand. Scalable recurring revenue without additional operational cost — the B2B flywheel that turns every client into a data and distribution asset.
Market Opportunity
The DACH region alone hosts 12,000+ travel agencies. Only 5% run integrated software. The window is 12–18 months.
80%+ of agencies want a unified platform — yet operate 4+ separate tools. Only 5% run integrated software today. No comparable AI-native travel agency with white-label SaaS exists in the DACH market. First-mover window: 12–18 months. (Sabre, TripWorks 2026)
Revenue Architecture
Pillar 1 generates cashflow and validates the product. Pillar 2 scales without marginal cost — creating the compounding revenue engine that drives Year 5 EBITDA to ~83%.
Product Portfolio — Year 1 Destinations
Each journey trains the platform. Every booking enriches the proprietary dataset that powers our data moat — and validates the technology in production.
5-Year Financial Projections
Conservative occupancy assumptions. Revenue mix shifts from 94% own travel to 60% SaaS by Year 5 — compressing EBITDA upward as marginal costs approach zero.
| Line Item | Year 1 | Year 2 | Year 3 | Year 4 | Year 5 |
|---|---|---|---|---|---|
| A · Own Travel Business | |||||
| Gross booking revenue | 6,064,416 | 8,355,418 | 10,107,360 | 11,455,008 | 12,128,832 |
| Travel purchase costs (70%) | (4,245,091) | (5,848,792) | (7,075,152) | (8,018,506) | (8,490,182) |
| Net own-travel revenue (30% margin) | 1,819,325 | 2,506,625 | 3,032,208 | 3,436,502 | 3,638,650 |
| B · SaaS Platform | |||||
| Basis licence revenue | 29,400 | 88,200 | 247,800 | 424,800 | 745,200 |
| Pro licence revenue | 23,760 | 95,040 | 285,600 | 571,200 | 1,084,200 |
| Enterprise licence revenue | 0 | 59,760 | 179,400 | 358,800 | 753,840 |
| Commission income (booking vol.) | 63,000 | 300,000 | 900,000 | 1,584,000 | 2,906,400 |
| Total SaaS revenue | 116,160 | 543,000 | 1,612,800 | 2,938,800 | 5,489,640 |
| Total Net Revenue | 1,935,485 | 3,049,625 | 4,645,008 | 6,375,302 | 9,128,290 |
| Operating Expenses (OPEX) | |||||
| Tech team & development | 180,000 | 300,000 | 450,000 | 550,000 | 650,000 |
| AI / Cloud infrastructure | 36,000 | 72,000 | 120,000 | 180,000 | 240,000 |
| Marketing & sales | 60,000 | 120,000 | 200,000 | 280,000 | 350,000 |
| General & administration | 48,000 | 72,000 | 96,000 | 120,000 | 144,000 |
| Total OPEX | 324,000 | 564,000 | 866,000 | 1,130,000 | 1,384,000 |
| EBITDA | 1,611,485 | 2,485,625 | 3,779,008 | 5,245,302 | 7,744,290 |
| EBITDA Margin | 83.3% | 81.5% | 81.4% | 82.3% | 84.8% |
| SaaS Metrics | |||||
| Total SaaS clients | 7 | 25 | 60 | 110 | 173 |
| SaaS ARR (€) | 116,160 | 543,000 | 1,612,800 | 2,938,800 | 5,489,640 |
| SaaS share of total revenue | 6% | 18% | 35% | 46% | 60% |
| Avg. revenue per SaaS client / month (€) | 1,383 | 1,810 | 2,240 | 2,226 | 2,644 |
Valuation & Investment
Three independent methodologies converge on a valuation range of €36.7M–€45.7M at Year 3 — underpinned by strong SaaS multiples and a 15% WACC DCF.
Why We Win
Not features. Not positioning. Structural moats that compound over time.
Built AI-first from day one — validated with Individual Journey as a live proof-of-concept in production. Legacy players cannot replicate this without rebuilding from scratch. 60% of the Hot-25 travel startups of 2026 are AI-native. Those who merely digitise legacy lose.
WeTravel 2026
Every Individual Journey booking trains the platform. Every SaaS client multiplies the dataset. 52% of operators don't know how to optimise for AI-powered search — this is where our data moat is built, one booking at a time.
WeTravel 2026 — 52% of operators lack AI-search readiness
B2C travel provides data and revenue. B2B SaaS clients provide scale and distribution. Each feeds the other — creating a compounding flywheel that becomes structurally harder to displace as the network grows. 80%+ of agencies want a unified platform.
Sabre 2026 — 80% of agencies seek unified platform
No comparable AI-native travel agency with white-label SaaS exists in the DACH market today. Custom & Luxury bookings grew +81% YoY — the market is accelerating while the technology gap remains wide open. Window: 12–18 months.
WeTravel 2026 — Custom & Luxury +81% YoY booking volume
Execution Timeline
Four phases. Each builds on the last. Series A readiness by 2029–2030.