Investor Pitch Deck
A 13-slide breakdown of the AlertaGas opportunity.
Title Slide
AlertaGas
Real-Time LP Gas Monitoring & Predictive Replenishment Network
Founders
Benjamin Martínez & Fernando Mariscal
The Problem
Gas distributors operate reactively.
No real-time consumption data exists today, leading to chaos.
- Clients run out of gas unexpectedly
- Angry emergency calls & churn
- Chaos in delivery routes
- No visibility of actual demand
- High operational waste (fuel/time)
The Solution
- Tank sensors (HaaS HaaSHardware-as-a-Service: Business model where hardware is leased with services rather than sold upfront. model)
- Real-time cloud dashboard
- Automatic refill alerts
- AI AIArtificial Intelligence: Systems that simulate human intelligence for tasks like prediction. Route optimization
- CRM CRMCustomer Relationship Management: Software to manage interactions with customers.-like customer management
From Reactive to Predictive Logistics.
How It Works
Install Sensor
Non-invasive ultrasonic sensor attaches to any tank in minutes.
Data Transmission
Sends levels via cellular/IoT network to our cloud.
Cloud Analysis
AI processes usage patterns and predicts run-out dates.
Smart Refill
Distributor gets an automated route; User gets an alert.
Product Demo
Insert Product Screenshots / Video Here
Business Model
Hardware-as-a-Service + SaaS
Recurring revenue with high switching costs.
Basic
$2
USD / Tank / Mo
Monitoring + Alerts
Pro
$3
USD / Tank / Mo
Routing + CRM
Enterprise
$5
USD / Tank / Mo
API + AI Prediction
Market Opportunity
28M
Households in Mexico
Use LP Gas
16M
LP Gas Tanks
Addressable Units
$0
Direct Competitors
With AI + HaaS at Scale
Go To Market Plan
Direct Sales (B2B)
Target small-to-mid sized distributors first (fleets of 1k-5k tanks).
Land & Expand
Pilot with 100 sensors, prove ROI, then roll out to entire fleet.
Partnerships
Work with tank manufacturers (OEM) to pre-install sensors.
Referral Program
Incentivize distributors to refer other non-competing regions.
Traction
Project Inception
Dashboard & Database Architecture
IoT Core
SMS & Sensor Integration Live
Logistics Engine
Real-time Map & Route Optimization
CRM & WhatsApp
Automated Client Communications
Hardware Prototype
Working LiDAR Sensor Prototype
Seed Round
Raising Capital for Hardware Scale
Scale
1,000 Units Deployed
The AI Moat
The Real Moat: Data Flywheel
Why this is impossible to replicate once we scale.
The Simple Analogy
"Anyone can copy a sensor. But nobody can copy 50 million hours of gas usage data. Just like Waze: once they had the traffic data, no new map app could catch up. We are Waze for Gas."
Why It Is Defensible
The Data Flywheel
More sensors = Better predictions = Lower costs = More customers.
High Switching Costs
Once a gas company integrates our logistics API, they cannot leave without breaking their operations.
Virtual Sensors
Eventually, we predict consumption for houses WITHOUT sensors using neighborhood data.
Key Differentiators
Full Stack
Hardware + Software vs. just sensors.
Predictive AI AIArtificial Intelligence: Systems that simulate human intelligence for tasks like prediction.
Forecasting vs. just monitoring.
HaaS HaaSHardware-as-a-Service: Business model where hardware is leased with services rather than sold upfront. Model
OpEx OpExOperational Expenditure: Ongoing costs for running a product or system. friendly vs. high CapEx CapExCapital Expenditure: Upfront funds used to acquire or upgrade physical assets..
Vertical Focus
Tailored for LatAm LatAmLatin America. logistics.
Financial Model
Projected MRR Growth
Hardware Payback: 4–6 Months
The Ask
Seed Round
$250k
Building the LP Gas AI Infrastructure for Latin America.
Additional Resources
Interactive Financial Model
Financial Model Simulator
Verbal Pitch Script
Verbal Pitch Script
Frequently Asked Questions
Ready to Invest?
Get in touch with our team directly.