SpaceMap presents a technical solution to the growing problem of orbital congestion, positioning itself as a 'Real-time Decision Platform for Space.' The deck centers on a proprietary Voronoi Diagram algorithm designed to solve 4D space-time problems more efficiently than conventional 3-filter methods. With the space economy projected to reach $1T by 2040, SpaceMap demonstrates early product-market fit through contracts with the Korea Aerospace Research Institute (KARI) and the Korea Space Force. The company has secured $2M in combined seed and government funding as of mid-2023. While the tec…
Key takeaways
- The space economy is projected to grow from $350B in 2016 to $1T by 2040, driven by satellite launches and Earth observation (Slide 7).
- SpaceMap claims current industry communication for collision avoidance relies inefficiently on 'Emails & Phones' (Slide 11).
- The platform provides real-time Conjunction Assessment (CA), demonstrated by a query involving KOMPSAT 5 and STARLINK 6321 (Slide 16).
- The core technical differentiator is a Voronoi Diagram Algorithm, which the company asserts is superior to conventional 3-filter algorithms in 'New Space' environments (Slide 31).
- SpaceScanner, a LEO-focused tool, optimizes for minimum collision risk and maximum RSO scan coverage (Slide 22).
- The company has achieved 548 platform subscriptions and is currently working on a Product Requirement Document for the Korea Space Force (Slide 43).
- SpaceMap was founded in September 2021, following nearly two decades of research at the Voronoi Diagram Research Center (Slide 49).
- Total funding to date includes a $0.5M seed round in June 2023 and a $1.5M Deep Tech TIPS grant from the Korean government in July 2023 (Slide 49).
SpaceMap Pitch Deck Analysis
SpaceMap is positioning itself as a critical infrastructure layer for the rapidly expanding space economy. Their deck, titled "Real-time Decision Platform for Space," focuses heavily on the technical challenges of Space Situational Awareness (SSA) and the limitations of current industry practices. The presentation is structured to move from the macro market opportunity to the specific algorithmic solution they have developed over two decades of research.
Slide 1: Title Slide
The title slide establishes the company's identity as "SpaceMap Inc." and defines the product as a "Real-time Decision Platform for Space." The inclusion of "ILS 2024" and "Q3 2024" suggests this is a recent version of the deck intended for a specific industry event or investor cycle. The background imagery of Earth at night emphasizes the global and orbital nature of the business.
Slide 7: Market Growth and The $1T Opportunity
SpaceMap uses a Morgan Stanley forecast from 2020 to anchor its market thesis. The slide shows the Global Space Economy growing from $350B in 2016 to a projected $1T by 2040. The bar chart breaks down the economy into segments such as Consumer TV, Fixed Satellite Services, and Satellite Launch. A blue dashed circle highlights the current period (2024), indicating that the company is entering the market during a phase of accelerated growth, particularly in the "Second Order Impacts" and "Satellite Manufacturing" categories.
Slide 11: The Communication Gap
This slide serves as the "Problem" statement. It asks, "How they exchange(d) ideas?" and answers with "Emails & Phones!" This highlights a significant inefficiency in the space industry: despite the high-tech nature of satellites, the coordination required to avoid collisions is still largely manual and slow. This sets the stage for SpaceMap's automated, real-time solution.
Slide 16: Real-Time Conjunction Assessment (CA)
This is a product demonstration slide showing the SpaceMap Platform in action. It details a specific conjunction assessment query between KOMPSAT 5 (operated by KARI) and STARLINK 6321. The slide provides technical data points: a Time of Closest Approach (TCA) at 11:15:56Z, a distance of 46.77 km, and a maneuver path involving a 10km altitude gain. Crucially, it notes that the computation resource used was "Moderate," suggesting the efficiency of their platform in handling complex orbital calculations.
Slide 22: SpaceScanner and LEO Optimization
SpaceScanner is introduced as a specialized tool for Low Earth Orbit (LEO). The slide features a visualization of Earth surrounded by satellite clusters (Starlink in blue, OneWeb in red). The tool is designed to find optimal parameters for three key areas: minimizing collision risk, maximizing RSO (Resident Space Object) scan coverage, and optimizing ISL (Inter-Satellite Link) transmission. This slide demonstrates that SpaceMap isn't just about safety; it's also about operational efficiency and performance optimization for satellite constellations.
Slide 31: The Core Algorithmic Differentiator
SpaceMap identifies its "Core Algorithm" as the Voronoi Diagram. The slide contrasts this against the "Conventional 3-filter Algorithm," which it claims is "Not adaptable in New Space Env." By framing their technology as a solution to a "Space-Time 4D problem," the company is appealing to technically sophisticated investors who understand the limitations of current orbital mechanics software when faced with thousands of new satellites launched by companies like SpaceX.
Slide 41: Go-To-Market Strategy
This is a transition slide indicating the start of the business strategy section. While the specific details of the GTM are not on this slide, it serves to move the narrative from "what we built" to "how we sell it."
Slide 43: Business Achievements in South Korea
This slide provides concrete evidence of traction. It lists four key categories:
KARI: RFI Interference Simulation Tool (2023) and AstroLibrary Licensing (2024). · Korea Space Force: Subscribing to Conjunction Assessment Services and work in progress on a Product Requirement Document (PRD). · Universities: API subscriptions from Incheon University and Seoul University. · Platform Subscription: 548 subscriptions and CDMs (Conjunction Data Messages) being sent to 220 readers.
The inclusion of a sample "K-CDM Report" shows the actual output customers receive, including collision probability (1.524e-06) and relative speed (9.5 km/s).
Slide 49: Company History and Funding Timeline
The final slide in this set provides a comprehensive timeline. It shows that the foundational research began in 2003 at the Voronoi Diagram Research Center with a $0.5M annual budget. Key milestones include:
2016-2022: Multiple awards and reports for the AFRL (Air Force Research Laboratory). · 2021.09.13: SpaceMap officially founded. · 2023.06: Seed Funding of $0.5M. · 2023.07: Deep Tech TIPS funding of $1.5M from the Korean Government.
The slide also mentions invited talks to the AFRL in the US, Australia, and New Zealand, establishing the company's international credibility in the SSA community.
What Works in the SpaceMap Deck
Technical Credibility: The deck does an excellent job of establishing the company's deep technical roots. By citing 20 years of research and specific algorithmic advantages (Voronoi vs. 3-filter), they position themselves as experts rather than just another software startup. The mention of AFRL awards further validates their technical claims.
Specific Traction: Unlike many early-stage decks that speak in generalities, SpaceMap lists specific government and academic partners. The mention of 548 subscriptions and the specific names of Korean universities and agencies provides tangible proof of product-market fit.
Clear Problem Statement: The "Emails & Phones" slide is a powerful way to illustrate the gap between the sophisticated hardware in space and the primitive coordination tools used on the ground. It creates an immediate sense of urgency for an automated solution.
What is Missing from the SpaceMap Deck
The Ask: In the slides provided, there is no clear "Ask." While the funding history is detailed, the deck does not state how much they are currently raising, the valuation they are seeking, or the specific milestones they intend to reach with the next round of capital.
Unit Economics and Revenue Model: While the deck mentions 548 subscriptions, it does not explain the pricing model. Is it a SaaS model? Per-satellite pricing? Government contract-based? Without this, it is difficult for an investor to model the company's potential revenue growth.
Team Slide: The provided slides do not include a team overview. While the history slide mentions the Research Center, investors need to see the specific leadership team, their backgrounds in aerospace or software, and who is driving the commercial side of the business.
Competitive Landscape: The deck mentions "Conventional 3-filter Algorithms," but it does not name specific competitors in the SSA (Space Situational Awareness) space, such as LeoLabs or Slingshot Aerospace. A competitive matrix would help investors understand where SpaceMap fits in the broader ecosystem.
What a Founder Should Copy
The Timeline of Credibility: Founders with a long research background should emulate Slide 49. It effectively shows that the company didn't appear out of nowhere but is the result of decades of specialized work and government-vetted research.
Visualizing the Product in Action: Slide 16 is a great example of showing, not just telling. By displaying a real conjunction assessment between two known satellites (KOMPSAT and Starlink), the company makes its abstract software feel real and necessary.
Using Recognized Market Data: Anchoring the market opportunity in a reputable source like Morgan Stanley (Slide 7) helps bypass the skepticism often directed at founder-generated market sizes. It places the company within a recognized global trend.
Conclusion
SpaceMap has a compelling technical narrative and strong early traction within the South Korean defense and research sectors. Their focus on a specific mathematical advantage (Voronoi Diagrams) provides a clear "moat" in a crowded field. However, to move from a government-funded research project to a high-growth venture-backed startup, the company will need to clarify its commercial business model and provide a clear roadmap for international expansion beyond the Korean market.
Frequently asked questions
- What is the primary problem SpaceMap is solving?
- SpaceMap addresses the increasing risk of satellite collisions in Low Earth Orbit (LEO). As the number of satellites grows (exemplified by Starlink launches), the current manual methods of exchanging safety data via email and phone become untenable. SpaceMap provides an automated, real-time platform to assess conjunction risks and suggest maneuver paths to maintain orbital safety.
- How does SpaceMap's technology differ from existing solutions?
- The deck highlights a shift from 'Conventional 3-filter Algorithms' to a 'Voronoi Diagram Algorithm.' This mathematical approach is specifically designed to solve 4D space-time problems. According to the slides, this allows for real-time queries and more complex assessments, such as tertiary conjunctions, which traditional methods struggle to process with the same speed and accuracy in high-density environments.
- What kind of traction has the company achieved so far?
- SpaceMap has significant institutional traction in South Korea. They have provided an RFI Interference Simulation Tool to KARI and have 548 platform subscriptions. Notably, they are working with the Korea Space Force on Conjunction Assessment Services and have generated automated 'K-CDM Reports' for high-risk conjunctions involving major constellations like Starlink and OneWeb.
- What is the company's funding history?
- The company has a strong background in academic and government-funded research, with the Voronoi Diagram Research Center operating on a $0.5M/year budget since 2003. Commercial funding includes a $0.5M seed round in June 2023, followed quickly by a $1.5M Deep Tech TIPS grant from the South Korean government in July 2023.
- Who are the primary customers for SpaceMap?
- Based on the 'Business Achievements' slide, the primary customers are government space agencies (KARI), military branches (Korea Space Force), academic institutions (Incheon and Seoul Universities), and satellite operators who require real-time data to prevent collisions and optimize satellite performance.
