What is the core technology behind GIS On Demand?

Based on Slide 4, the core technology is an automated open system designed to scan web-based data to generate layered 3D maps. Unlike traditional methods that rely on manual data collection and 'sophisticated hardware' (Slide 2), this approach focuses on automation to create data-rich, global maps. The technical team, led by a CTO with 15+ years in Computer Vision and 3D algorithms, suggests the use of advanced image processing to reconstruct environments from existing digital sources.

How does the company justify its market size?

Slide 3 breaks down the market into three overlapping segments: 3D Geographic ($18 Billion in 2018), US Mapping ($6 Billion), and GIS ($5 Billion). The deck specifically notes that GIS data is the fastest-growing segment within this broader market. By positioning themselves at the intersection of these figures, the company argues that there is a massive, high-growth opportunity for automated data solutions that can service these multi-billion dollar industries.

What is the most impressive metric in the deck?

The most striking metric is found on Slide 5, which details a 'Use Case 2' involving earthquake evaluation for the State of Israel. The slide compares traditional methods, which took 11 years to map 1,500 buildings, against GIS On Demand’s solution, which completed the task in 2.5 weeks. Additionally, they claim a 70% lower cost compared to the 'confidential' traditional pricing, presenting a radical improvement in both speed and capital efficiency.

Who are the key people leading this startup?

The leadership team is highly technical. CEO Dror Ouzana has 20 years of experience in 3D Geo-Data and 15 years in R&D operations. CTO Iovav Cohen is described as a software expert with over 15 years in Computer Vision, Image Processing, and GIS. They are supported by Roy Tertman, an advisor focused on Business Development. This composition suggests a company that is currently more focused on engineering and product development than aggressive sales (Slide 6).

How does the company plan to use the $2M investment?

According to Slide 7, the $2M 'Investing' ask is heavily weighted toward technical development. 40% is allocated to 'Product' and 35% to 'R&D,' totaling 75% of the round. The remaining 25% is split between Business Development (15%) and Sales & Marketing (10%). This allocation indicates that the company is likely in an early stage where the primary goal is refining the automated mapping engine before a full-scale commercial push.

GIS On Demand Pitch Deck Teardown: Automating 3D Mapping

GIS On Demand presents a compelling case for the automation of 3D geographic data, targeting a market they value at $18 billion as of 2018. The deck identifies the core pain points of current mapping—manual labor, long timelines, and expensive hardware—and proposes an 'automated open system' as the solution. A standout slide compares a traditional 11-year mapping project for the State of Israel against their 2.5-week delivery time, representing a significant leap in productivity. The team brings deep technical expertise, with the CEO claiming 20 years in 3D Geo-Data. Seeking $2M to scale, the…

Key takeaways

The company identifies three primary industry pain points: manual processes, long timelines, and sophisticated hardware requirements (Slide 2).
The 3D Geographic market is valued at $18 Billion as of 2018, with GIS data cited as the fastest-growing segment (Slide 3).
The vision is to create an automated open system that scans the web to map the globe in layered formats (Slide 4).
A case study for the State of Israel shows a reduction in mapping time from 11 years to 2.5 weeks (Slide 5).
The technology claims to offer costs that are 70% lower than traditional confidential methods (Slide 5).
CEO Dror Ouzana claims 20 years of experience in 3D Geo-Data and 15 years in executive R&D roles (Slide 6).
CTO Iovav Cohen brings 15+ years of experience in Computer Vision and Image Processing (Slide 6).
The company is seeking a $2M investment, with 75% of the capital earmarked for Product and R&D (Slide 7).

Executive Summary: Automating the 3D World

GIS On Demand enters the market with a clear value proposition: the current state of 3D mapping is too slow, too manual, and too expensive. By leveraging automation and web-scanning technology, the company claims it can reduce decade-long government projects to mere weeks. The deck is structured as a classic problem-solution narrative, backed by significant market figures and a highly specialized technical team. With a $2M ask focused primarily on R&D, the company is positioning itself as a deep-tech play in the Geographic Information Systems (GIS) space.

Slide 1: Title Slide

The deck opens with a minimalist title slide. The company name, GIS On Demand , is centered within a purple scalloped badge. Below it, the subtitle "Automatic Layered 3D Maps" immediately defines the product category. It is a functional start that avoids fluff and tells the viewer exactly what industry the company operates in.

Slide 2: The Problem

Slide 2 identifies the friction points in the current 3D mapping industry. It uses a hexagonal infographic to highlight three core issues: "Mainly Manual," "Long Process," and "Sophisticated Hardware." By framing the problem this way, the company sets the stage for a solution that is automated, fast, and software-driven. The use of icons (a person, a clock, and a server) helps visualize these abstract pain points for the investor.

Slide 3: The Market

The market slide uses a bubble chart to visualize the opportunity. It cites three key figures: US Mapping at $6 Billion , GIS at $5 Billion , and the largest opportunity, 3D Geographic at $18 Billion (2018) . A small text note at the bottom left asserts that "GIS data is the fastest growing segment in the GIS market." This slide successfully conveys that the company is operating in a massive, multi-billion dollar environment, though the 2018 date suggests the deck may be a few years old.

Slide 4: Our Vision

The vision slide introduces the solution: "An automated open system that scans the web to map the globe." It emphasizes that the output is "Layered" and "Filled with data." The right side of the slide features a stylized graphic of a globe covered in neon-colored data points, reinforcing the idea of a digitally reconstructed world. This slide is crucial because it explains the 'how'—moving away from hardware-heavy collection to a web-based scanning approach.

Slide 5: Use Case 2 - Earthquake Evaluation

This is arguably the most powerful slide in the deck. It presents a case study for the State of Israel involving "1500 building mapping." It compares the traditional method against GIS On Demand across two metrics: cost and time. The traditional method is listed as "Confidential" for cost and "11 Years" for time. GIS On Demand claims a cost that is "70% Lower" and a timeline of only "2.5 Week." This 11-year vs. 2.5-week comparison provides a visceral sense of the technology's disruptive potential.

Slide 6: Team

The team slide highlights deep domain expertise. Dror Ouzana (CEO) is noted for having 20 years of experience in 3D Geo-Data and 15 years in R&D. Iovav Cohen (CTO) is presented as a software expert with 15+ years in Computer Vision, Image Processing, and 3D algorithms. Roy Tertman is listed as an Advisor for Business Development. The descriptions emphasize technical 'know-how' and 'proven achievements,' which is vital for a company claiming such significant technological breakthroughs.

Slide 7: Investing

The 'Investing' slide outlines a $2M funding requirement. The allocation is visualized through a hexagonal graphic: 40% for Product , 35% for R&D , 15% for Business Development , and 10% for Sales & Marketing . The heavy lean toward Product and R&D (75% combined) suggests the company is still in a phase of intense technical refinement or is building out its core automated engine to cover more global territory.

Slide 8: 3D Reconstruction - Demo

The final slide in this set is a placeholder for a "3D Reconstruction - Demo." While the image provided is a black box, in a live pitch, this would be the moment the founders prove the 'magic' of their web-scanning automation. For an investor, seeing the quality of the 3D output compared to traditional LIDAR or manual photogrammetry would be the deciding factor in validating the claims made on Slide 5.

What Works Well

The Efficiency Comparison: The comparison on Slide 5 (11 years vs. 2.5 weeks) is a masterclass in demonstrating value. It takes a complex technical achievement and turns it into a simple, undeniable business advantage. · Technical Credibility: The team slide doesn't just list titles; it lists years of specific experience in 3D Geo-Data and Computer Vision. For a deep-tech startup, this 'founder-market fit' is essential. · Clear Market Segmentation: Instead of just giving one 'TAM' (Total Addressable Market) number, Slide 3 breaks the market down into logical segments, showing exactly where the $18B figure comes from.

What Is Missing

Business Model: The deck explains what they do and who they do it for, but it doesn't explain how they charge. Is it a SaaS subscription, a per-square-kilometer fee, or a per-project license? · Competition: There is no mention of existing players like Esri, Google Earth, or newer satellite-based AI companies. Investors need to know why a customer would choose GIS On Demand over established giants. · Traction: While the Israel case study is impressive, the deck doesn't clarify if this was a paid pilot, a completed contract, or a theoretical exercise. More evidence of current revenue or a pipeline of future customers would strengthen the pitch. · Unit Economics: There is no mention of the cost to acquire data or the margins associated with the 70% lower price point.

What a Founder Should Copy

The Problem Hexagon: Slide 2 is a great example of how to group multiple complex problems into three digestible pillars. It makes the 'enemy' clear and easy to remember. · The 'Investing' Breakdown: Using percentages to show how a round will be spent is much more effective than just listing a total number. It shows the investor that the founder has a plan for the capital. · The Use Case Format: If you have a metric that shows a 10x or 100x improvement over the status quo, give it its own slide. Don't bury it in a bullet point; make it the star of the show as GIS On Demand did on Slide 5.

Frequently asked questions

What is the core technology behind GIS On Demand?: Based on Slide 4, the core technology is an automated open system designed to scan web-based data to generate layered 3D maps. Unlike traditional methods that rely on manual data collection and 'sophisticated hardware' (Slide 2), this approach focuses on automation to create data-rich, global maps. The technical team, led by a CTO with 15+ years in Computer Vision and 3D algorithms, suggests the use of advanced image processing to reconstruct environments from existing digital sources.
How does the company justify its market size?: Slide 3 breaks down the market into three overlapping segments: 3D Geographic ($18 Billion in 2018), US Mapping ($6 Billion), and GIS ($5 Billion). The deck specifically notes that GIS data is the fastest-growing segment within this broader market. By positioning themselves at the intersection of these figures, the company argues that there is a massive, high-growth opportunity for automated data solutions that can service these multi-billion dollar industries.
What is the most impressive metric in the deck?: The most striking metric is found on Slide 5, which details a 'Use Case 2' involving earthquake evaluation for the State of Israel. The slide compares traditional methods, which took 11 years to map 1,500 buildings, against GIS On Demand’s solution, which completed the task in 2.5 weeks. Additionally, they claim a 70% lower cost compared to the 'confidential' traditional pricing, presenting a radical improvement in both speed and capital efficiency.
Who are the key people leading this startup?: The leadership team is highly technical. CEO Dror Ouzana has 20 years of experience in 3D Geo-Data and 15 years in R&D operations. CTO Iovav Cohen is described as a software expert with over 15 years in Computer Vision, Image Processing, and GIS. They are supported by Roy Tertman, an advisor focused on Business Development. This composition suggests a company that is currently more focused on engineering and product development than aggressive sales (Slide 6).
How does the company plan to use the $2M investment?: According to Slide 7, the $2M 'Investing' ask is heavily weighted toward technical development. 40% is allocated to 'Product' and 35% to 'R&D,' totaling 75% of the round. The remaining 25% is split between Business Development (15%) and Sales & Marketing (10%). This allocation indicates that the company is likely in an early stage where the primary goal is refining the automated mapping engine before a full-scale commercial push.