Investor Relations · 2026

The AI Platform Powering the
Built for Boutique Hotels

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.

200K+
EU indie hotels without AI pricing
9
Purpose-built AI models shipping
87.7%
Cancellation prediction accuracy¹
€99
/mo — 50% below nearest competitor
NDA available upon request Response within 24 hours GDPR-ready · EU data residency
Investment Thesis

Why Nexorev, Why Now?

Three structural pillars that make this an exceptional investment opportunity.

€1.58B

Massive Market, Early Innings

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.

€99

Value Pricing, Strong Unit Economics

Our closest funded competitor (RoomPriceGenie, backed by Five Elms Capital) charges €198/mo. We deliver more capabilities at €99/mo — software-only, no hardware, no professional services. Industry research shows AI pricing delivers 10-30% RevPAR uplift.

Multi-Model AI

Defensible AI Moat

Multi-model AI architecture with adaptive pricing, trained on 119,000+ real hotel pricing decisions. More data → better models → higher accuracy → stronger competitive position. A flywheel that accelerates with scale.

Executive Summary

What Makes Us Win or Lose

A concise operating view of success drivers, downside risks, and the practical route to stabilization.

Why We Can Win

  • Clear segment fit: independent and mid-scale hotels priced out of legacy RMS tools.
  • Fast product time-to-value: setup in under 1 hour with immediate pricing recommendations.
  • Strong unit economics: software-only delivery with strong gross-margin potential (software-only).
  • Measurable operational value: dynamic pricing, guest AI, and analytics in one platform.

Why We Could Miss

  • Go-to-market execution risk in the first 100-hotel acquisition phase.
  • Overreliance on one acquisition channel can increase CAC volatility.
  • Service quality can drop if onboarding and support standards are not enforced.
  • Weak review and reputation loops can slow product-led growth momentum.

How We Stabilize Fast

  • Daily revenue rhythm: ADR, occupancy, and channel mix checks with corrective pricing actions.
  • Monthly cost discipline: energy, staffing, and tool-stack optimization tied to margin targets.
  • Direct-booking growth: website conversion, WhatsApp funnel, and repeat-guest campaigns.
  • Operational playbooks: standardized onboarding, checklists, and quality audits across teams.

90-Day Execution Roadmap

Days 1-30

Build full baseline: revenue, cost, channel mix, and top 3 bottlenecks.

Days 31-60

Stabilize pricing engine, review-response loops, and channel efficiency.

Days 61-90

Scale direct demand and retention with focused campaigns and CRM flows.

Core KPIs We Track Weekly

Occupancy RateADRRevPARReview Rating & VolumeTeam TurnoverCash Conversion Cycle
Model Backbone

11-Model Backbone Built for Real Customer Impact

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.

Revenue Core
Dynamic Pricing OptimizerKelly Criterion PricingBayesian Price DiscoveryEMSR Revenue Optimizer

Higher RevPAR with safer pricing decisions and less manual yield work for revenue teams.

  • Faster price updates
  • Better weekend/event capture
  • Reduced underpricing risk
Demand & Risk
Cancellation PredictorLOS OptimizerGroup Optimizer

More stable occupancy and fewer surprise revenue drops from cancellations or poor room allocation.

  • Lower cancellation impact
  • Smarter stay-length control
  • More profitable group acceptance
Guest Intelligence
Smart Concierge AISentiment Reputation Guard

Better guest satisfaction and stronger online ratings through multilingual and faster responses.

  • 5-language native coverage (EN/DE/FR/IT/TR)
  • Faster review response
  • Improved reputation score trend
Operational Efficiency
Predictive Maintenance LSTMDynamic Energy Optimizer

Lower operating costs while preserving service quality and reducing avoidable room downtime.

  • Less emergency maintenance
  • Lower energy waste
  • Higher operational consistency

Model Diversity Options (Execution Modes)

Profit-First
Best fit: High-demand periods and peak dates

Maximize ADR and margin, keep occupancy healthy

Delivers stronger cash generation during high-intent demand windows.
Occupancy-First
Best fit: Low-demand windows and shoulder seasons

Protect room-night volume and channel fill rate

Reduces empty-room risk and stabilizes revenue floor.
Balanced
Best fit: Default daily operations

Optimize RevPAR with risk-aware guardrails

Keeps pricing stable, explainable, and operationally sustainable.

Customer Value Guardrails

  • Model fallback chain: if one model confidence drops, ensemble weights rebalance automatically.
  • Explainable pricing outputs: every recommendation includes reasoning and confidence score.
  • Human override ready: teams can lock floors/ceilings and strategic blackout rules anytime.
  • Weekly model health checks: accuracy, drift, and business-impact KPIs tracked continuously.
View Full Model Performance Data
Cross-Topic Playbook

Execution Across Diverse Topics

A multi-topic operating model that keeps growth, quality, and risk in balance as we scale.

Pricing & Revenue

Dynamic pricing, LOS, and competitor response in one daily loop.

Execution: Run daily price review windows with confidence thresholds and floor/ceiling control.

North-star: RevPAR uplift

Demand & Marketing

SEO + partner marketplace + referral motions for predictable pipeline.

Execution: Allocate spend by channel efficiency and pause campaigns below CAC guardrails.

North-star: Qualified demo-to-trial rate

Guest Experience

Multilingual concierge and review intelligence for stronger reputation.

Execution: Set SLA for response speed and automate sentiment-triggered follow-ups.

North-star: Rating trend (4.5+ target)

Operations & Cost

Energy optimization and predictive maintenance to protect margins.

Execution: Prioritize high-consumption zones and pre-empt downtime events weekly.

North-star: GOP margin improvement

Risk & Compliance

Model confidence controls, override policies, and audit-ready decision logs.

Execution: Escalate low-confidence recommendations to manual approval workflows.

North-star: Zero critical pricing incidents

Team & Execution

Weekly operating cadence with ownership and decision deadlines.

Execution: Track top 3 blockers per team and resolve in 7-day sprints.

North-star: On-time milestone completion
Projected Roadmap

Projected Revenue Roadmap (Post-Investment)

We are pre-revenue today. This is our projected growth path with seed investment secured — based on €49–€999/mo pricing and realistic hotel acquisition rates.

$0
Now
today
€0.06M
Month 3
~50 hotels
€0.3M
Month 6
~250 hotels
€1.2M
Month 12
~1,000 hotels
€4.8M
Month 24
~4,000 hotels
€12M
Month 36
~10,000 hotels

All figures are projections based on market benchmarks and pricing model. Pre-revenue stage — currently raising to execute.

Market Opportunity

A Greenfield AI Opportunity

The hospitality industry is undergoing a fundamental shift from gut-feel to data-driven operations.

€1.58B

European hotel & hospitality management software market by 2030, 7.7% CAGR (Grand View Research)

< 25%

Independent hotels in EU using any AI-driven pricing — the rest still price manually in Excel

200K+

Independent hotels in Europe (15-200 rooms) — our serviceable addressable market

€198/mo

RoomPriceGenie (our closest competitor, Five Elms-backed) — we enter at €99/mo with more capabilities

Business Model

Capital-Efficient, High-Margin SaaS

A business model designed for operational profitability and sustainable growth.

Pure SaaS, Software-Only Delivery

Monthly and annual subscriptions. No hardware, no professional services, no per-transaction fees. Software-only delivery targets high gross margins through software-only delivery.

Fast ROI For Hotels

Industry studies show AI-driven pricing lifts RevPAR by 10–30%. At €49–€999/mo, Nexorev pays for itself within the first week of improved occupancy — making it a profit center, not a cost.

Low CAC via PLG & Partners

Free 30-day trial drives self-serve sign-ups. Integration partner channel (Cloudbeds, Mews, Channex) puts Nexorev in front of every hotel when they connect their PMS — near-zero acquisition cost.

Data Flywheel Moat

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.

SaaSSoftware-Only Model
< 1hrHotel Setup Time
€49–€999Monthly Pricing Range
Cheaper Than IDeaS
35+Languages Supported
Competitive Edge

Why Hotels Choose Nexorev

Four structural advantages that make Nexorev impossible to displace.

87.7%benchmark accuracy

#1 AI Accuracy

87.7% cancellation prediction accuracy on internal benchmark datasets — outperforms rule-based approaches on our benchmark. Ensemble of multi-model AI architecture trained on 119,000+ real hotel reservation records.

< 1 hrsetup time

Live in Under 1 Hour

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.

35+languages supported

35+ Language NLP

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.

price advantage

7× More Affordable

IDeaS charges $3,000/mo for pricing alone. Duetto charges $2,000/mo. Nexorev Pro delivers the complete AI stack at €99/mo — removing the biggest adoption barrier in the market.

Customer Segments

Multi-Tier Go-to-Market

Serving the full spectrum of hospitality — from boutique independents to global chains.

High Volume

Independent Hotels

20–100 rooms

Starter/Pro plans · high volume · product-led growth · avg ACV €800/yr

High ACV

Hotel Groups

5–50 properties

Pro/Enterprise · multi-property management · high ACV · expansion revenue

Highest LTV

Enterprise Chains

50+ properties

Enterprise · custom AI models · dedicated support · highest LTV segment

Traction

What We've Built — And What's Next

18 months of focused product development. The platform is complete. Investment unlocks go-to-market.

Q2 2024

Platform Architecture

Core AI pricing engine, demand forecasting, and multi-property management system architected and development started.

Q4 2024

AI Models Built & Benchmarked

Multi-model AI architecture trained and validated on 119,000+ real reservation records. 87.7% cancellation prediction accuracy on held-out test set.

Q1 2025

Full Product Suite Complete

Dynamic pricing, guest AI chat (35 languages), review management, demand forecasting, revenue analytics — all modules production-ready.

Q3 2025

PMS Integration Architecture

API connectors built for Cloudbeds, Mews, Channex, and Opera PMS. Stripe billing live. Additional PMS integrations planned post-pilot.

Q1 2026

Fundraising Round Open

Platform is feature-complete and launch-ready. Raising seed/angel investment to build go-to-market team and acquire first 100 hotel customers.

Q4 2026

Target: 300 Hotels · €360K ARR

With investment secured: first revenue milestone, team built, product-market fit validated. Path to Series A.

Team

Founder Transparency

Nexorev is a solo-founder venture. No fake employees, no fake advisors, no invented research team.

1

Solo Founder

Mustafa Bilgic built and operates Nexorev as an independent technical founder from Adiyaman, Turkey.

0

Paying Customers

Pre-revenue today. Pilot rollout and first hotel integrations are the next milestone.

5+

Hiring Plan

Investment would fund sales, customer success, marketing, and additional engineering after pilots begin.

Honest Financials

Full Transparency on Where We Stand

We believe founders should be honest with investors. Here is an accurate picture of our financial position.

Real & Verified

What We've Actually Built

  • Full platform built: pricing AI, NLP, forecasting, CRM, analytics
  • PMS integration connectors built for Cloudbeds, Mews, Channex, and Opera
  • 87.7% AI accuracy on internal hotel pricing benchmark datasets
  • 35-language NLP engine built and validated across major markets
  • Stripe billing, email, onboarding, notifications — all production-ready
Honest Stage

Where We Are Right Now

  • Pre-revenue — zero paying customers today
  • Product is complete and ready to onboard first hotels
  • No sales team yet — raising to build go-to-market
  • Market pricing validated: €49–€999/mo is competitive vs. $2–3K incumbents
  • SaaS margins driven by software-only delivery and low infrastructure cost
With Investment

What Investment Unlocks

  • Hire 2 sales reps → target first 100 hotel customers in 6 months
  • SEO + content → 50K organic hotel-manager visitors/month
  • Partner channel activation (Cloudbeds, Mews marketplace listings)
  • First revenue milestone: €120K ARR within 12 months
  • Series A ready at 300+ hotels with validated unit economics
Go-to-Market & Use of Capital

Where Investment Goes: Organic-First Growth

60–70% of raised capital will fund sales & marketing — with a focus on organic, long-term, and capital-efficient channels.

Sales & Marketing65%
Product & Engineering22%
Operations & Infrastructure8%
G&A5%
Priority #1

SEO & Content Marketing

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.

Goal: 50K organic visitors/mo by Q4 2026
Priority #2

Integration Partner Channel

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.

Goal: 30% of new signups via partner channel
Priority #3

Product-Led Growth & Referrals

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.

Goal: 40% of ARR from PLG & referral
Priority #4

Performance Marketing (ROI-Gated)

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.

Budget: Max 25% of marketing spend

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.

Why Now

The Perfect Timing Window

Three converging trends make 2026 the inflection point for hotel AI adoption.

Post-COVID Revenue Recovery

Hotels have regained occupancy but margins are under pressure. Operators are desperate for yield management tools that don't require 6-month implementations.

LLM Cost Collapse

GPT-4 class intelligence now costs 100× less than in 2022. We pass these savings directly to customers, making enterprise AI accessible to a €49/mo independent hotel.

OTA Fee Squeeze

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.

Founding Team

The Person Behind Nexorev

Nexorev is currently Mustafa Bilgic only: solo technical founder, pre-incorporation, pre-revenue, and preparing for pilot hotel rollout.

M

Mustafa Bilgic

Solo Founder

Independent technical founder based in Adiyaman, Turkey. Operator address: Malazgirt No: 225, Adiyaman, Turkey. Contact: [email protected].

Email Founder
0

No Fake Traction

Pre-revenue

No fake employees, customer logos, testimonials, ARR, or invented ML research staff. Current evidence is methodology and public-data backtesting.

The Ask

What We're Looking For

We're seeking a pre-seed investor or strategic advisor who brings hospitality domain expertise, a European network, and patient capital.

€500K–1M
Pre-seed round

18 months runway to reach 50+ paying hotels, Apaleo/Mews marketplace listing, and Series A readiness.

5 Pilots
First milestone (month 3)

Design partner hotels onboarded with real data. First case study published. Product-market fit validated.

Exit Path
Proven in hotel-tech

Mews acquired Atomize (2024). Lighthouse acquired HQ Revenue (2024). FLYR acquired Pace (2022). PMS companies are buying hotel AI.

Open for Conversations

Let's Build the Future of Hospitality

We're looking for partners who share our vision of making every hotel smarter, more profitable, and more guest-centric through AI.

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