Pilot-stage AI pricing and forecasting for independent hotels in North Italy. Built transparently by Mustafa Bilgic, a solo technical founder. Pre-revenue today, raising pre-seed to launch hotel pilots.
Three structural pillars that make this an exceptional investment opportunity.
European hotel & hospitality management software reaches €1.58B by 2030 (Grand View Research). Less than 25% of independent hotels use any AI pricing today. 200,000+ properties in our serviceable market.
Public pricing on our website: €499/mo pilot for the first 5 hotels, €1,200–2,400/mo in production. Enterprise incumbents (IDeaS, Duetto) charge $2–3K/mo for pricing alone — we deliver the full AI stack below that, software-only. Industry research shows AI pricing delivers 10-30% RevPAR uplift.
Multi-model AI architecture with adaptive pricing, trained on 119,000+ public training records (public hotel-booking-demand dataset). More data → better models → higher accuracy → stronger competitive position. A flywheel that accelerates with scale.
A concise operating view of success drivers, downside risks, and the practical route to stabilization.
Build full baseline: revenue, cost, channel mix, and top 3 bottlenecks.
Stabilize pricing engine, review-response loops, and channel efficiency.
Scale direct demand and retention with focused campaigns and CRM flows.
Model diversity is structured as an operating system: each stack solves a specific hotel pain point and maps directly to measurable guest and revenue outcomes.
Higher RevPAR with safer pricing decisions and less manual yield work for revenue teams.
More stable occupancy and fewer surprise revenue drops from cancellations or poor room allocation.
Better guest satisfaction and stronger online ratings through multilingual and faster responses.
Lower operating costs while preserving service quality and reducing avoidable room downtime.
Maximize ADR and margin, keep occupancy healthy
Protect room-night volume and channel fill rate
Optimize RevPAR with risk-aware guardrails
A multi-topic operating model that keeps growth, quality, and risk in balance as we scale.
Dynamic pricing, LOS, and competitor response in one daily loop.
Execution: Run daily price review windows with confidence thresholds and floor/ceiling control.
SEO + partner marketplace + referral motions for predictable pipeline.
Execution: Allocate spend by channel efficiency and pause campaigns below CAC guardrails.
Multilingual concierge and review intelligence for stronger reputation.
Execution: Set SLA for response speed and automate sentiment-triggered follow-ups.
Energy optimization and predictive maintenance to protect margins.
Execution: Prioritize high-consumption zones and pre-empt downtime events weekly.
Model confidence controls, override policies, and audit-ready decision logs.
Execution: Escalate low-confidence recommendations to manual approval workflows.
Weekly operating cadence with ownership and decision deadlines.
Execution: Track top 3 blockers per team and resolve in 7-day sprints.
We are pre-revenue today. This is our projected growth path with seed investment secured — based on our real public pricing (€499/mo pilot, €1,200–2,400/mo production) and realistic hotel acquisition rates.
All figures are projections based on real public pricing (€499/mo pilot, €1,200–2,400/mo production) with conservative blended averages. Pre-revenue stage — currently raising to execute.
The hospitality industry is undergoing a fundamental shift from gut-feel to data-driven operations.
European hotel & hospitality management software market by 2030, 7.7% CAGR (Grand View Research)
Independent hotels in EU using any AI-driven pricing — the rest still price manually in Excel
Independent hotels in Europe (15-200 rooms) — our serviceable addressable market
What enterprise RMS incumbents (IDeaS, Duetto) charge. Nexorev pilots at €499/mo and runs production at €1,200–2,400/mo with a broader AI stack
A business model designed for operational profitability and sustainable growth.
Monthly and annual subscriptions. No hardware, no professional services, no per-transaction fees. Software-only delivery targets high gross margins through software-only delivery.
Industry studies show AI-driven pricing lifts RevPAR by 10–30%. At €499/mo pilot and €1,200–2,400/mo production pricing, a mid-size hotel needs only a small fraction of that uplift to cover the fee — making it a profit center, not a cost.
Founder-led pilots with a 30-day satisfaction window drive early adoption. Integration partner channel (Cloudbeds, Mews, Channex) puts Nexorev in front of every hotel when they connect their PMS — near-zero acquisition cost.
More hotels → richer pricing signals → better AI models → higher accuracy → stronger competitive position. A compounding moat that gets harder to replicate with every customer added.
Four structural advantages that make Nexorev impossible to displace.
9.8% occupancy forecast MAPE on public-data backtests — methodology and dataset published openly on /model-performance. Multi-model AI architecture trained on 119,000+ public training records (public hotel-booking-demand dataset).
IDeaS and Duetto require 3–6 month implementations. Nexorev's plug-and-play PMS connectors (Cloudbeds, Mews, Channex, Opera) get any hotel live in under 60 minutes.
Industry-first multilingual guest intelligence built in. Reviews, chat, and sentiment analyzed across 35 languages — unlocking Turkey, Germany, France, Italy, Spain from day one at no extra cost.
IDeaS charges $3,000/mo for pricing alone. Duetto charges $2,000/mo. Nexorev pilots at €499/mo and runs production at €1,200–2,400/mo — the complete AI stack at a fraction of enterprise cost, with transparent public pricing.
Serving the full spectrum of hospitality — from boutique independents to global chains.
Pilot/Production plans · founder-led onboarding · ACV €6K–29K/yr at public pricing
Production/Enterprise · multi-property management · high ACV · expansion revenue
Enterprise · custom AI models · dedicated support · highest LTV segment
18 months of focused product development. The platform is complete. Investment unlocks go-to-market.
Core AI pricing engine, demand forecasting, and multi-property management system architected and development started.
Multi-model AI architecture trained and validated on 119,000+ public training records (public hotel-booking-demand dataset). 9.8% occupancy forecast MAPE on public-data backtest.
Dynamic pricing, guest AI chat (35 languages), review management, demand forecasting, revenue analytics — all modules production-ready.
API connectors built for Cloudbeds, Mews, Channex, and Opera PMS. Stripe billing live. Additional PMS integrations planned post-pilot.
Platform is feature-complete and launch-ready. Raising seed/angel investment to build go-to-market team and acquire first 100 hotel customers.
With investment secured: first pilots converted to €1,200–2,400/mo production pricing, team built, product-market fit validated. Path to Series A.
Nexorev is a solo-founder venture. No fake employees, no fake advisors, no invented research team.
Mustafa Bilgic built and operates Nexorev as an independent technical founder from Adiyaman, Turkey.
Pre-revenue today. Pilot rollout and first hotel integrations are the next milestone.
Investment would fund sales, customer success, marketing, and additional engineering after pilots begin.
We believe founders should be honest with investors. Here is an accurate picture of our financial position.
60–70% of raised capital will fund sales & marketing — with a focus on organic, long-term, and capital-efficient channels.
Hotel managers search for revenue optimization guides. We own the answer. Dedicated blog, revenue management guides, ROI calculators, and case studies that rank organically and generate inbound leads permanently.
Integration architecture built for Cloudbeds, Mews, Channex, and Opera PMS. Apaleo marketplace listing in progress (free, days). Mews Connector Partner application planned. PMS marketplace distribution = near-zero CAC.
Free 30-day trial with full features drives direct sign-ups. Built-in referral program: hotels that refer 2 customers get 1 month free. Hotel managers talk — word-of-mouth in hospitality associations is powerful and near-zero cost.
Paid acquisition only after organic channels are validated. Tight CAC-to-LTV thresholds enforced (target: CAC < 3-month ARR). Focus on Google Search (intent-driven), LinkedIn (hotel group decision makers), and hospitality trade show sponsorships.
Our unfair advantage: native 5-language support (English, German, French, Italian, Turkish) lets us acquire customers in markets where US-centric competitors charge $2,000/mo in a language they don't speak. This is our wedge into European markets at near-zero incremental CAC.
Three converging trends make 2026 the inflection point for hotel AI adoption.
Hotels have regained occupancy but margins are under pressure. Operators are desperate for yield management tools that don't require 6-month implementations.
GPT-4 class intelligence now costs 100× less than in 2022. We pass these savings directly to customers, making enterprise-grade AI accessible to independent hotels at a fraction of enterprise RMS cost.
Booking.com and Expedia now charge 15–25% commissions. Hotels are actively seeking direct booking and AI tools to reduce dependency — exactly what Nexorev delivers.
Nexorev is currently Mustafa Bilgic only: solo technical founder, pre-incorporation, pre-revenue, and preparing for pilot hotel rollout.
Solo Founder
Independent technical founder based in Adiyaman, Turkey. Operator address: Malazgirt No: 225, Adiyaman, Turkey. Contact: [email protected].
Email FounderPre-revenue
No fake employees, customer logos, testimonials, ARR, or invented ML research staff. Current evidence is methodology and public-data backtesting.
We're seeking a pre-seed investor or strategic advisor who brings hospitality domain expertise, a European network, and patient capital.
18 months runway to reach 50+ paying hotels, Apaleo/Mews marketplace listing, and Series A readiness.
Design partner hotels onboarded with real data. First case study published. Product-market fit validated.
Mews acquired Atomize (2024). Lighthouse acquired HQ Revenue (2024). FLYR acquired Pace (2022). PMS companies are buying hotel AI.
We're looking for partners who share our vision of making every hotel smarter, more profitable, and more guest-centric through AI.