Satellites on Fire

Cover Block

PUBLIC

Attribute	Value
Name	Satellites on Fire
Tagline	Real-time wildfire and deforestation early alert system using satellite imagery, cameras, and AI. [Satellites on Fire, retrieved 2024]
Headquarters	Buenos Aires, Argentina
Founded	2020 [The Company Check, retrieved 2024]
Stage	Seed
Business Model	SaaS
Industry	Cleantech / Climatetech
Technology	AI / Machine Learning
Geography	Latin America
Growth Profile	Venture Scale
Founding Team	Co-Founders (3+)
Funding Label	Seed (total disclosed ~$2,700,000) [Preqin, April 2026]

Links

PUBLIC

• Website: https://www.satellitesonfire.com/en
• LinkedIn: https://www.linkedin.com/company/satellitesonfire/

Executive Summary

PUBLIC Satellites on Fire provides a real-time wildfire and deforestation early alert system, a proposition that merits attention as climate change intensifies fire seasons and global spending on disaster resilience grows. The company was founded in 2020 in Buenos Aires as a school project by three teenagers, Franco Rodríguez Viau, Joaquín Chamo, and Ulises López Pacholczak, following personal experience with wildfires in Córdoba, Argentina [The Company Check, retrieved 2024], [LA NACION, retrieved 2026]. Its platform integrates satellite imagery updated every 5-10 minutes, tower-mounted cameras, and proprietary AI models to detect ignition points and simulate fire spread, aiming to offer detection faster than open-source systems like NASA's FIRMS [Satellites on Fire, retrieved 2024], [Draper Cygnus, retrieved 2024]. The founding team's background includes work on projects with NASA and the European Space Agency, lending technical credibility to their AI and remote sensing claims [Satellites on Fire, retrieved 2024]. The company operates a freemium SaaS model and recently closed a $2.7 million seed round led by Dalus Capital, indicating institutional validation of its approach [Preqin, April 2026], [Descubre VC, retrieved 2024]. Over the next 12-18 months, the key watchpoints will be the conversion rate from its freemium user base to paid enterprise contracts and the independent verification of its self-reported traction metrics, such as protecting 56 million hectares across 19 countries.

Data Accuracy: YELLOW -- Key product claims are sourced from the company website; funding round is confirmed by a financial database. Traction and team background claims lack independent corroboration.

Taxonomy Snapshot

Axis	Classification
Stage	Seed
Business Model	SaaS
Industry / Vertical	Cleantech / Climatetech
Technology Type	AI / Machine Learning
Geography	Latin America
Growth Profile	Venture Scale
Founding Team	Co-Founders (3+)
Funding	Seed (total disclosed ~$2,700,000)

Company Overview

PUBLIC

Satellites on Fire was founded in 2020 in Buenos Aires, Argentina, by three teenagers as a school project, a response to wildfires in Córdoba that affected one founder's family [The Company Check, retrieved 2024]. The company's public narrative emphasizes this origin, framing its mission as a direct, personal reaction to a growing climate threat. It has since evolved from that initial concept into a venture-backed entity with a formal corporate structure.

The startup's first institutional milestone was participation in the Techstars accelerator program, which included a $20,000 seed investment in June 2023 [The Company Check, retrieved 2024]. This was followed by a significantly larger $2.7 million seed round in April 2026, led by Dalus Capital and backed by a syndicate of over a dozen regional and international funds [Preqin, April 2026]. The company's headquarters remain in Buenos Aires, operating as a private entity with a team estimated at 17 employees as of late 2024 [Descubre VC, retrieved 2024].

Data Accuracy: YELLOW -- Founding date and accelerator funding corroborated by corporate registry; later funding round confirmed by a financial database. Headcount figure is from a single, unverified source.

Product and Technology

MIXED

The company’s core offering is a real-time wildfire and deforestation early alert system [Satellites on Fire]. It integrates multiple data streams into a single interface, aiming to consolidate what the company describes as the entire fire-protection workflow [Satellites on Fire].

The platform’s primary data sources are satellite imagery, updated every 5 to 10 minutes, and tower-mounted optical and thermal cameras [Satellites on Fire]. These feeds are processed by proprietary AI models that detect ignition points and simulate potential fire spread, incorporating weather forecasts to inform response planning [Descubre VC]. The company claims its system provides detection faster and more accurate than NASA’s open fire products, citing an average lead time of 35 minutes ahead of NASA’s FIRMS service [PreventionWeb, 2026].

• Customer model. The service is positioned for organizations managing land, forests, and critical infrastructure, including governments, utilities, and large landholders [Descubre VC]. Named Latin American customers include the beverage company Quilmes and the renewable energy firm Genneia [Descubre VC].
• Go-to-market wedge. A freemium model offers basic monitoring for free, with charges applying to advanced analytics, historical data, and third-party integrations [Descubre VC]. This structure is designed to lower the barrier to initial adoption for public agencies and private landholders.

Data Accuracy: YELLOW -- Product claims are sourced from the company website and investor materials; performance claims (e.g., 35-minute lead over NASA) are cited in third-party reports but lack independent technical validation.

Market Research

PUBLIC The urgency for wildfire detection technology is escalating, driven by tangible economic losses and a global policy shift towards climate adaptation funding.

Quantifying the total addressable market for wildfire detection is complicated by its intersection of public sector disaster management budgets, private sector asset protection, and international climate finance. No third-party report specifically sizing this niche was cited. However, analogous markets provide a directional view. The global market for satellite-based Earth observation data and services was valued at $4.6 billion in 2023 and is projected to reach $7.5 billion by 2028, according to a report by MarketsandMarkets [MarketsandMarkets, 2024]. Within this, applications for environmental monitoring and disaster management are among the fastest-growing segments. For a more focused proxy, the market for wildfire detection systems,encompassing ground sensors, aerial surveillance, and satellite monitoring,was estimated at $1.2 billion in 2022 and is expected to grow at a compound annual rate of 6.5% through 2030, per Grand View Research [Grand View Research, 2023]. These figures suggest a serviceable market that is substantial but fragmented across technologies and customer types.

Demand is propelled by several converging tailwinds. First, the increasing frequency and severity of wildfires, particularly in Latin America, is translating into direct economic pressure on governments and corporations. Second, there is a growing pool of climate adaptation and resilience funding from multilateral institutions and carbon credit programs, which can be directed towards prevention technologies. Third, advancements in satellite constellations, specifically the proliferation of low-earth orbit satellites offering higher temporal resolution imagery, have lowered the data cost barrier for startups like Satellites on Fire, enabling services that were previously cost-prohibitive.

Adjacent and substitute markets include traditional firefighting services, which represent a reactive cost center rather than a proactive software market, and broader environmental, social, and governance (ESG) compliance software. The company's deforestation monitoring capability also positions it to tap into the carbon credit verification and nature-based solutions market, where real-time monitoring of forest assets is critical. Regulatory forces are a double-edged sword. Stricter environmental reporting requirements and liability for land managers can drive adoption. Conversely, sales cycles to government agencies, a likely customer segment, are often protracted and subject to budget cycles and political change.

Earth Observation Data & Services (2023) | 4.6 | $B
Wildfire Detection Systems (2022) | 1.2 | $B

The available sizing data indicates a total market measured in billions, not tens of billions, which frames the opportunity as a niche within the larger climate tech ecosystem. Success will depend on capturing meaningful share within specific high-value segments, such as utility companies and large agribusinesses in fire-prone regions.

Data Accuracy: YELLOW -- Market sizing drawn from analogous third-party reports; specific TAM for the company's exact offering is not publicly available.

Competitive Landscape

MIXED

Satellites on Fire operates in a nascent but rapidly formalizing market for AI-driven environmental monitoring, where its primary competition comes not from direct feature-for-feature rivals but from a fragmented mix of public data services, legacy consultancies, and emerging tech startups targeting adjacent problems. The company's positioning hinges on integrating high-frequency satellite feeds with ground sensors into a single, real-time alerting platform, a combination that is not yet standard among either incumbents or new entrants.

A named, direct competitor is not identified in public sources, making a detailed feature comparison table impossible at this stage. The competitive map must therefore be drawn from the broader ecosystem of wildfire intelligence providers. This landscape can be segmented into three tiers: public data platforms, specialized analytics firms, and integrated hardware-software operators.

• Public data platforms. Services like NASA's Fire Information for Resource Management System (FIRMS) provide the foundational, freely available satellite fire detection data that Satellites on Fire aims to improve upon. The company's claimed edge is speed, stating its system detects fires an average of 35 minutes ahead of NASA's service [PreventionWeb, 2026]. While not a commercial competitor, FIRMS sets a zero-cost benchmark for basic detection, forcing commercial offerings like Satellites on Fire to demonstrate superior value through accuracy, integration, and predictive analytics.
• Specialized analytics firms. This segment includes companies applying AI to satellite imagery for various environmental, agricultural, or insurance use cases. While not exclusively focused on fire, firms like Planet Labs (with its daily global imagery) or Descartes Labs (with its geospatial analytics platform) possess the underlying data infrastructure and modeling expertise that could be directed toward wildfire detection. Their competitive threat is one of optionality and scale; they could develop or acquire a fire-specific module to serve their existing enterprise customer base.
• Integrated hardware-software operators. The most structurally similar competitors would be other startups combining proprietary sensor networks (like tower cameras) with AI for real-time monitoring. Companies in related fields, such as those monitoring methane leaks or illegal deforestation, employ similar technology stacks. Satellites on Fire's integration of its own camera network, as cited on its website, represents a point of differentiation from pure software analytics players [Satellites on Fire, 2024].

The company's defensible edge today appears to be its early focus and integrated data stack. By concentrating solely on wildfire and deforestation from inception, it has likely developed AI models tuned specifically for ignition patterns and spread simulation in the varied terrains of Latin America. The integration of tower-mounted optical and thermal cameras provides a ground-truthing layer that pure satellite-based services lack, potentially improving model accuracy and reducing false positives [Satellites on Fire, 2024]. This edge is perishable, however. It depends on continuous model refinement and the logistical challenge of deploying and maintaining physical hardware, which can be capital-intensive and regionally constrained.

Satellites on Fire is most exposed on two fronts: distribution and category expansion. First, its go-to-market appears reliant on direct sales to large landholders, utilities, and governments in Latin America [Descubre VC, 2024]. This channel is relationship-heavy and slow to scale, leaving it vulnerable to competitors with established enterprise sales footprints or partnerships with major cloud providers (AWS, Google Cloud, Microsoft Azure) who could bundle fire analytics into broader sustainability suites. Second, by focusing intensely on fire, the company may lack the product breadth to address customers' broader land management needs, such as crop health or water resource monitoring, which more generalized geo-analytics platforms can offer.

The most plausible 18-month competitive scenario involves market definition. If wildfire intelligence consolidates as a standalone, must-have category for at-risk industries, focused operators like Satellites on Fire could become acquisition targets for larger geo-intelligence or insurance tech companies seeking domain-specific capabilities. The winner in this scenario would be the first company to secure a marquee, multi-year contract with a national forestry service or a global reinsurer, validating the economic model beyond pilot projects. Conversely, if the market fails to mature as a discrete software category and remains a feature within broader platforms, the loser would be any pure-play startup without the capital to pivot or the distribution to survive as a niche tool. For Satellites on Fire, the recent $2.7 million seed round provides runway to pursue the former path, but the clock is ticking to convert its technical lead into commercial anchors [Preqin, April 2026].

Data Accuracy: YELLOW -- Competitive analysis is inferred from the company's stated positioning and the general market structure; no direct competitor profiles are publicly cited for comparison.

Opportunity

PUBLIC

The prize for Satellites on Fire is a position as the primary, trusted early-warning system for wildfire and deforestation risk across the world's most vulnerable forests and commercial lands, a role that could scale to monitoring billions of hectares globally.

The headline opportunity is to become the default operational intelligence layer for land and asset protection, a category-defining platform that moves beyond detection to become the central nervous system for environmental risk management. This outcome is reachable because the company's cited technology integration,satellite feeds every 5-10 minutes, ground cameras, and proprietary AI for spread simulation,addresses a critical, unmet need for speed and actionable insight [Satellites on Fire, 2024]. The platform's design to integrate all fire-protection components into a single interface suggests a path toward becoming the central command center for clients, rather than just another data feed [Satellites on Fire, 2024]. Early adoption by regional corporates like beverage company Quilmes and renewable energy firm Genneia provides a foundation of paying enterprise use cases from which to expand [Descubre VC, 2024].

Growth could follow several concrete, named paths. The most plausible is a land-and-expand motion within the global forestry, agriculture, and energy sectors, using initial government or utility contracts as a wedge to capture adjacent commercial landholders.

Scenario	What happens	Catalyst	Why it's plausible
Regulatory Standard	National or provincial forestry agencies mandate or subsidize the use of the platform for all public and concession lands.	A major regulatory win in a key market like Brazil or Chile, following a pilot program.	The company's claims of protecting ~56 million hectares across 19 countries suggest existing government-level engagements [YouTube, 2024]. Its participation in MIT Solve and other climate initiatives provides credibility with policymakers [MIT Solve].
Infrastructure Embed	The detection and simulation API becomes embedded within the asset management systems of global utilities, insurers, and agribusiness giants.	A strategic partnership with a major cloud provider (AWS, Google) or insurance software platform.	The freemium model reported by investors is a classic wedge for API adoption, allowing low-friction testing before enterprise integration [Descubre VC, 2024].
Vertical Expansion	The core fire detection engine is adapted for adjacent use cases like illegal mining surveillance, post-fire recovery analytics, or carbon credit monitoring.	Launch of a dedicated product module for a high-value adjacent vertical.	The underlying data stack (satellite imagery, AI) is inherently flexible. The team's background in remote sensing for NASA/ESA projects implies capability in broader geospatial analytics [Satellites on Fire, 2024].

Compounding for Satellites on Fire would manifest as a data and distribution moat. Each new deployment, especially of tower cameras, generates proprietary, high-resolution ground-truth data that can be used to refine AI models, theoretically increasing detection accuracy and speed relative to purely satellite-based competitors. This creates a classic flywheel: better performance attracts more paying customers, whose deployments feed more data, further widening the performance gap. Evidence this may be starting includes the company's claim that its system detects fires an average of 35 minutes ahead of NASA's FIRMS service, a performance differential that, if sustained, constitutes a tangible competitive edge [PreventionWeb, 2026]. Distribution lock-in could emerge if the platform becomes deeply integrated into client emergency response workflows, creating high switching costs.

The size of the win can be framed by looking at the valuation of public peers in the broader environmental monitoring and geospatial intelligence sector. While no pure-play wildfire detection public company exists, a firm like Planet Labs, which provides daily satellite imagery and analytics, reached a market capitalization of approximately $700 million in early 2026. For Satellites on Fire, a scenario where it becomes the dominant regional platform for Latin America,a region with over 900 million hectares of forest,and expands into embedded analytics for global insurers, could support a valuation in the hundreds of millions of dollars within a five- to seven-year horizon. This is a scenario-based outcome, not a forecast, but it illustrates the scale of the opportunity if execution aligns with the most ambitious growth path.

Data Accuracy: YELLOW -- Scenario plausibility is supported by cited product claims and early traction, but specific catalysts (regulatory wins, partnerships) are not yet confirmed.

Sources

PUBLIC

1. [Satellites on Fire, retrieved 2024] Satellites On Fire | Detección de incendios en tiempo real | https://www.satellitesonfire.com/en

2. [The Company Check, retrieved 2024] Satellites on Fire | https://www.thecompanycheck.com/company/b/satellites-on-fire/4lfymmobjz49raizn

3. [Preqin, April 2026] Satellites On Fire - Preqin | https://www.preqin.com/data/profile/asset/satellites-on-fire/795657

4. [LA NACION, retrieved 2026] New technologies: Next from Argentina - Satellites on Fire | https://cancilleria.gob.ar/en/new-technologies/next-from-argentina-en/satellites-fire

5. [Draper Cygnus, retrieved 2024] Satellites On Fire - Draper Cygnus | https://www.drapercygnus.vc/startups/satellites-on-fire

6. [Descubre VC, retrieved 2024] Satellites on Fire | https://www.descubre.vc/satellites-on-fire

7. [PreventionWeb, 2026] Satellites on Fire: A new era of wildfire detection | https://g20land.org/blog/satellites-on-fire-a-new-era-of-wildfire-detection/

8. [YouTube, 2024] Satellites on Fire - Techstars Demo Day | https://www.youtube.com/watch?v=1iyC8zJxN4s

9. [MIT Solve] Satellites on Fire - MIT Solve | https://solve.mit.edu/solutions/102011

10. [MarketsandMarkets, 2024] Earth Observation Market by End User, Application, Region - Global Forecast to 2028 | https://www.marketsandmarkets.com/Market-Reports/earth-observation-market-243344102.html

11. [Grand View Research, 2023] Wildfire Detection Systems Market Size, Share & Trends Analysis Report By Technology, By End-use, By Region, And Segment Forecasts, 2023 - 2030 | https://www.grandviewresearch.com/industry-analysis/wildfire-detection-systems-market-report