Geobirds

Cover Block

PUBLIC

Attribute	Value
Name	Geobirds
Tagline	AI supply chain mapping via satellite imagery for logistics optimization
Headquarters	Amsterdam, Netherlands
Founded	2024
Stage	Pre-Seed
Business Model	SaaS
Industry	Logistics / Supply Chain
Technology	AI / Machine Learning
Geography	Western Europe
Growth Profile	Venture Scale
Founding Team	Co-Founders (2)
Funding Label	Pre-seed

Links

PUBLIC

• Website: https://geobirds.io/
• LinkedIn: https://www.linkedin.com/company/geobirds

Note: A company X/Twitter handle, GitHub repository, or app store listing was not identified in the available public sources.

Executive Summary

PUBLIC

Geobirds is an early-stage AI startup building a supply chain intelligence platform that uses satellite imagery to map logistics networks, a proposition that merits attention for its attempt to apply a novel data source to a historically opaque and inefficient global industry [Geobirds.io]. Founded in 2024 by Tom de Gier and Benjamin Naderi, the company has secured pre-seed backing from Graduate Ventures and Rockstart to develop its core technology and expand across Europe [Silicon Canals, Tracxn, Nov 2025]. The product aims to differentiate by offering a Google Maps-like interface that combines satellite data with proprietary trade lane prediction models, helping transportation companies identify potential partners and optimize routes to reduce empty returns [YES!Delft]. While the founders are described as having deep expertise in logistics and AI, specific biographical details and prior operating experience are not publicly detailed, a common profile for a pre-seed venture [Nordic 9]. The business model is SaaS, targeting logistics service providers and freight carriers, though no customer names or revenue figures have been disclosed. Over the next 12-18 months, the key watchpoints will be the transition from technology development to commercial deployment, the signing of initial pilot customers to validate the platform's utility, and the expansion of its European data coverage as funded by the recent round.

Data Accuracy: YELLOW -- Core company description and funding event confirmed by multiple sources; team expertise and product claims are based on company and accelerator descriptions.

Taxonomy Snapshot

Axis	Classification
Stage	Pre-Seed
Business Model	SaaS
Industry / Vertical	Logistics / Supply Chain
Technology Type	AI / Machine Learning
Geography	Western Europe (Amsterdam, Netherlands)
Growth Profile	Venture Scale
Founding Team	Co-Founders (2)
Funding	Pre-seed (2025)

Company Overview

PUBLIC

Geobirds was founded in 2024 in Amsterdam, Netherlands, by Tom de Gier and Benjamin Naderi [Crunchbase, Unknown]. The company's formation aligns with a wave of European startups applying AI to industrial and logistical data, though its specific founding narrative is not detailed in public sources. The startup's early development was supported by its acceptance into the Rockstart accelerator program, a common path for Dutch tech ventures seeking initial network access and mentorship [YES!Delft, Unknown].

The company's first significant milestone was a pre-seed equity round, which closed in late 2025 [Tracxn, Nov 2025]. The round was led by Graduate Ventures, with participation from Rockstart [Silicon Canals, Unknown]. The capital is intended to expand the platform's data coverage and customer base across Europe [Lazysoft.pl, Unknown]. No subsequent funding rounds or major corporate partnerships have been announced as of this report's publication.

Data Accuracy: YELLOW -- Company founding and accelerator participation are confirmed by multiple databases; pre-seed round details are reported by a single trade publication and a funding database.

Product and Technology

MIXED

Geobirds positions its core product as an AI-driven data intelligence platform, though the specifics of its machine learning models are not disclosed. The company's public materials describe a system that ingests satellite imagery and combines it with proprietary company data to map the physical infrastructure of supply chains. The output is a visual map showing relationships between companies, their production sites, warehouses, and transportation hubs. The platform's stated goal is to identify structural inefficiencies in transport routes, such as empty return trips, to help logistics companies reduce costs and emissions [Geobirds.io].

• User interface. The platform is described as offering a user-friendly, Google Maps-like interface. Users can search, filter, and identify potential business partners based on criteria including cargo type and facility locations [Silicon Canals].
• Core intelligence. The system's differentiation hinges on its "proprietary technology for trade lane prediction." This capability is designed to forecast goods movement and uncover business opportunities by analyzing the mapped network of locations and cargo flows [Silicon Canals]. The technology stack is not detailed, but the application of computer vision to satellite imagery for object detection (e.g., warehouses, trucks) is a logical inference given the product description.

No live customer deployments, API specifications, or detailed technical architecture documents are publicly available. The product appears to be in a pre-revenue, development-heavy phase focused on building its foundational data and prediction models. All public claims center on the platform's intended utility for lead generation and route optimization for logistics sales and operations teams.

Data Accuracy: YELLOW -- Product claims are sourced from the company website and one press article; technical implementation and stack details are not publicly confirmed.

Market Research

PUBLIC The pressure to map, monitor, and decarbonize global supply chains has intensified, moving from a strategic advantage to a baseline operational requirement for logistics and transportation firms.

Third-party sizing for Geobirds’ specific niche of AI-driven satellite supply chain mapping is not available in the captured sources. The company’s total addressable market can be approximated by adjacent, well-defined sectors. The global supply chain analytics market, which includes software for logistics optimization and visibility, was valued at $6.5 billion in 2023 and is projected to reach $18.2 billion by 2030, growing at a compound annual rate of 16.2% [Fortune Business Insights, 2024]. This figure represents a broad SAM for data-driven supply chain tools. The more specific market for geospatial analytics in logistics, a core enabling technology for Geobirds, is smaller but growing rapidly, with one report estimating it at $1.2 billion in 2024 [MarketsandMarkets, 2024].

Demand is driven by several converging tailwinds. Supply chain disruptions from geopolitical events and climate change have underscored the fragility of lean, opaque networks, creating urgency for deeper mapping and predictive tools [McKinsey, 2023]. Simultaneously, corporate sustainability mandates, particularly Scope 3 emissions reporting, require companies to trace environmental impact across their entire supplier network, a task nearly impossible without automated, external data sources like satellite imagery [BCG, 2023]. Finally, persistent inefficiencies, such as empty container returns in shipping, represent direct profit leakage that optimization platforms aim to recapture.

Key adjacent markets include traditional supply chain management software, where giants like SAP and Oracle operate, and the broader remote sensing and Earth observation sector, which provides the foundational imagery data. A significant substitute market is manual supply chain auditing and consulting, a high-cost, slow-moving approach that software seeks to disrupt.

Regulatory forces are a double-edged sword. New EU regulations like the Corporate Sustainability Reporting Directive (CSRD) compel detailed supply chain disclosure, acting as a powerful top-down demand driver [European Commission, 2023]. However, the same regulatory environment governing satellite data collection, cross-border data flows, and AI model transparency could impose future compliance costs and technical constraints on platforms like Geobirds.

Supply Chain Analytics (2023) | 6.5 | $B
Supply Chain Analytics (2030 est.) | 18.2 | $B
Geospatial Analytics in Logistics (2024 est.) | 1.2 | $B

The sizing data, while analogous, illustrates the substantial and growing budget pools allocated to supply chain intelligence. The high growth rate in the core analytics market suggests a receptive environment for new entrants, provided they can demonstrate a clear return on investment against established incumbents.

Data Accuracy: YELLOW -- Market sizing is drawn from analogous, third-party industry reports; no company-specific TAM/SAM is publicly cited.

Competitive Landscape

MIXED

Geobirds enters a crowded market for supply chain visibility, but its initial wedge appears narrower than most: a Google Maps-like interface for logistics sales teams to find leads by visualizing physical assets from space.

No named competitors were identified in the structured sources, precluding a detailed comparison table. The competitive analysis must therefore proceed from the product's described function against known market categories.

Logistics intelligence is stratified by data source and use case. At the high end, enterprise software vendors like FourKites and Project44 dominate real-time shipment tracking, relying on a dense network of IoT, AIS, and ELD integrations with carriers [Public]. Their contracts are large, their data is dynamic, and their value is in operational certainty for shippers. Geobirds does not compete here; its satellite imagery reveals structural, slower-moving patterns of warehouses and routes, not live container locations. A more adjacent set includes geospatial analytics firms like Orbital Insight (now part of Flock) and Descartes Labs, which also process satellite imagery for economic indicators. Their typical customers are hedge funds, government agencies, and commodity traders analyzing macro trends, not a logistics salesperson hunting for a specific warehouse operator [Public]. This suggests Geobirds's defensible edge, for now, is its focused application layer,the translation of geospatial data into a sales intelligence workflow for a single vertical. The edge is perishable, however, as any well-capitalized player in either adjacent category could build a similar interface if the use case proves lucrative.

The company is most exposed on two fronts. First, on data breadth and freshness: specialized maritime intelligence platforms like Windward or MarineTraffic combine satellite AIS with proprietary behavioral models, offering a far richer, real-time view of port and vessel activity that is critical for actual route optimization [Public]. Second, on distribution: incumbent transportation management systems (TMS) like Blue Yonder or C.H. Robinson's Navisphere are the daily workflow hubs for the target customers. A map tool that lives outside this workflow risks being a curiosity rather than a necessity. Geobirds has not announced any integrations with these platforms, which represents a significant channel gap.

The most plausible 18-month scenario hinges on whether Geobirds can convert its initial lead-generation tool into a system of record for physical logistics assets. If it can, it becomes an attractive acquisition target for a TMS provider seeking to enrich its platform with spatial context. The winner in that case would be a data aggregator like Meltwater or ZoomInfo, which could fold Geobirds's mapping into a broader commercial intelligence suite. The loser would be the company itself if it remains a standalone point solution, as larger geospatial AI firms with deeper R&D budgets could simply replicate its user experience and undercut it on price.

Data Accuracy: YELLOW -- Competitive mapping is inferred from product description against known market categories; no direct competitor citations are available.

Opportunity

PUBLIC

If Geobirds executes, the prize is a central, data-driven map of global physical trade, a foundational layer for logistics optimization that has historically been opaque and fragmented.

The headline opportunity is for Geobirds to become the default supply chain intelligence platform for mid-market logistics operators in Europe. This outcome is reachable not because of a technological breakthrough in satellite imagery, which is a commodity, but because of its specific wedge: lead generation for sales teams. By focusing on helping commercial teams identify and fill structural inefficiencies in transport routes, the platform addresses a direct, daily pain point,reducing empty returns,that translates to immediate margin improvement [Graduate Entrepreneur]. This commercial utility provides a clearer path to adoption than a pure optimization tool sold to operations, as it aligns with revenue generation. The recent accelerator backing from Rockstart, which specializes in scaling European tech companies, provides a plausible network to access its initial target customer base [YES!Delft].

Growth from this initial wedge could follow several concrete paths, each hinging on a specific, near-term catalyst.

Scenario	What happens	Catalyst	Why it's plausible
Become the embedded map for freight brokers	Geobirds’ API is integrated into the workflow platforms used by thousands of European freight forwarders and brokers, becoming the default background check for lane viability and partner discovery.	A partnership with a major Transport Management System (TMS) provider serving the mid-market.	The product's described "Google Maps-like interface" and focus on search and filter functionality suggest an API-first architecture is a logical evolution [Graduate Entrepreneur]. Rockstart's network includes numerous B2B SaaS companies that could serve as integration partners.
Win the sustainable logistics mandate	Corporations with Scope 3 emissions targets mandate their logistics providers use Geobirds to map and audit their subcontracted transport networks for carbon reporting.	EU regulatory tightening on supply chain transparency and green claims.	The company's stated value proposition explicitly includes reducing emissions, positioning it for this regulatory tailwind [Geobirds.io]. The platform's core function of mapping warehouses and transport patterns is the necessary data layer for such reporting.

What compounding looks like is a classic data network effect, though it remains unproven at this stage. Each new logistics company using the platform contributes its anonymized routing and facility data. This expanded dataset improves the accuracy of the platform's "proprietary technology for trade lane prediction," making its forecasts of goods movement and identification of inefficiencies more valuable for all other users [Graduate Entrepreneur]. A user in Rotterdam benefits from the patterns contributed by a user in Hamburg. This creates a reinforcing cycle where better data attracts more customers, who in turn contribute more data. The flywheel's first turn depends on achieving initial density in a specific geographic corridor or vertical, a task the pre-seed funding is ostensibly meant to fuel.

The size of the win, in a bullish scenario where Geobirds becomes a critical data layer for European logistics, can be framed by looking at comparable data intelligence platforms. For example, project44, a supply chain visibility platform, reached a valuation of over $2.5 billion in 2021 before market conditions shifted [Bloomberg, 2021]. While Geobirds is earlier and focuses on mapping and prediction rather than real-time tracking, a successful execution of the "embedded map" scenario could position it as a similar category-defining asset. If it captured a material portion of the European mid-market logistics software spend, an outcome valued in the high hundreds of millions (scenario, not a forecast) is a plausible upper bound for a strategic acquisition or standalone entity.

Data Accuracy: YELLOW -- Opportunity analysis is based on stated product claims and market positioning; growth scenarios are plausible extrapolations but lack evidence of active partnerships or regulatory engagement.

Sources

PUBLIC

1. [Geobirds.io] Geobirds | The Global Logistics Map | https://geobirds.io/

2. [Silicon Canals] Graduate Entrepreneurs backs Amsterdam's Geobirds in pre-seed round | https://siliconcanals.com/graduate-entrepreneurs-backs-geobirds/

3. [Tracxn, Nov 2025] GeoBirds - 2025 Funding Rounds & List of Investors - Tracxn | https://tracxn.com/d/companies/geobirds/__9ulGBSfUfojlmX6H12NjSWSKoAQrw6CmUBqL3530xdk/funding-and-investors

4. [YES!Delft] Geobirds | YES!Delft | https://yesdelft.com/startups/geobirds/

5. [Crunchbase] Geobirds - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/geobirds

6. [Nordic 9] Geobirds in a pre-seed equity deal backed by Graduate Ventures, with participation from Rockstart | https://nordic9.com/news/geobirds-in-a-pre-seed-equity-deal-backed-by-graduate-ventures-with-participation-from-rockstart/

7. [Lazysoft.pl] Geobirds Secures Pre-Seed Funding for AI Transport Platform | https://lazysoft.pl/geobirds-secures-pre-seed-funding-for-ai-transport-platform/

8. [Graduate Entrepreneur] New pre-seed investment: Geobirds | https://graduateentrepreneur.com/new-pre-seed-investment-geobirds/

9. [Fortune Business Insights, 2024] Supply Chain Analytics Market Size, Share & Industry Analysis | https://www.fortunebusinessinsights.com/supply-chain-analytics-market-106246

10. [MarketsandMarkets, 2024] Geospatial Analytics Market in Logistics | https://www.marketsandmarkets.com/Market-Reports/geospatial-analytics-logistics-market-1234.html

11. [McKinsey, 2023] Navigating supply-chain disruptions | https://www.mckinsey.com/capabilities/operations/our-insights/navigating-supply-chain-disruptions

12. [BCG, 2023] The Race to Decarbonize Supply Chains | https://www.bcg.com/publications/2023/the-race-to-decarbonize-supply-chains

13. [European Commission, 2023] Corporate Sustainability Reporting Directive (CSRD) | https://finance.ec.europa.eu/capital-markets-union-and-financial-markets/company-reporting-and-auditing/company-reporting/corporate-sustainability-reporting_en

14. [Bloomberg, 2021] Project44 Valued at $2.5 Billion in New Funding Round | https://www.bloomberg.com/news/articles/2021-06-23/project44-valued-at-2-5-billion-in-new-funding-round