DataMonkey

Cover Block

Attribute	Details
Name	DataMonkey
Tagline	Visualize, combine, and analyze geographic data easily, integrating open data for clear insights.
Headquarters	Berlin, Germany
Founded	2022
Business Model	SaaS
Industry	Other
Technology	Software (Non-AI)
Geography	Western Europe
Founding Team	Irene Ternes, Paul von Berg

Links

• Website: https://www.datamonkey.tech/
• LinkedIn: https://de.linkedin.com/company/datamonkeytech

The Short Version

DataMonkey is a Berlin-based startup building a GeoAI platform that allows business users to query and analyze complex geographic data through natural language. Founded in 2022 by Irene Ternes and Paul von Berg, the company operates under Urban Monkeys GmbH and is developing what it calls the first GeoAI agent to blend proprietary location data with public sources like OpenStreetMap [DataMonkey, retrieved 2024] [ffplus-project.eu, 2026]. The core product differentiates by aiming to make spatial analysis accessible to non-technical roles, allowing queries such as "water in parks in San Francisco" to return structured datasets [Product Hunt, retrieved 2026]. The founding team combines leadership and technical roles, with Ternes as CEO and von Berg as CTO [Prospeo] [LinkedIn, retrieved 2026]. Capitalization is not publicly disclosed; the company appears to be in a very early or bootstrapped stage with a team of four [RocketReach, retrieved 2026]. Over the next 12-18 months, validation will hinge on demonstrating that its LLM-powered agent can reliably deliver commercial insights at scale.

Data Accuracy: YELLOW -- Core product claims and team structure are cited from company and affiliated project materials; headcount is from a single directory. Funding and detailed traction are unconfirmed.

Taxonomy Snapshot

Axis	Value
Business Model	SaaS
Industry / Vertical	Other
Technology Type	Software (Non-AI)
Geography	Western Europe
Founding Team	Solo Founder

The Company in Brief

DataMonkey operates as a Berlin-based software startup founded in 2022, focused on making geospatial data analysis more accessible through natural language [DataMonkey, retrieved 2024]. The company is legally structured as Urban Monkeys GmbH [datamonkey.tech/imprint, retrieved 2026]. This legal entity is also listed as a participant in the REACH incubator program [reach-incubator.eu, retrieved 2026].

The founding team consists of Irene Ternes, who serves as Co-Founder and CEO, and Paul von Berg, the CTO [ffplus-project.eu, 2026] [LinkedIn, retrieved 2026]. A 2026 interview with Ternes positions the company's mission around pioneering GeoAI, which combines large language models with geospatial intelligence to derive insights from map-based data [ffplus-project.eu, 2026]. The company's public headcount is reported at four employees [RocketReach, retrieved 2026].

Data Accuracy: YELLOW -- Core details are confirmed by the company website and a 2026 interview. Headcount is from a single directory source; funding and commercial milestones are not publicly available.

What They Have Built

The product is a visual interface for geographic data, with a primary wedge in the application of large language models to geospatial intelligence. The company's public statements position it as a GeoAI agent that allows users to blend proprietary location data with public sources using natural language queries [DataMonkey, retrieved 2024]. This moves beyond simple mapping to a system where an AI interprets complex, nested requests about the physical world, such as finding "water in parks in San Francisco" or "ice cream near streetcar lines in Berlin" [Product Hunt, retrieved 2026]. The core claim is that this approach makes AI-based geospatial data analysis accessible to business experts and data analysts without requiring deep technical expertise [DataMonkey, retrieved 2024].

Technologically, the solution is built on training large language models specifically for geospatial data [ffplus-project.eu, 2026]. The company states it is developing "cutting-edge AI Agents for geospatial data, powered by LLMs" [JOIN, retrieved 2026]. The operational entity, Urban Monkeys GmbH, lists four employees [RocketReach, retrieved 2026].

Data Accuracy: YELLOW -- Core product claims are sourced directly from company materials and a project interview, but technical implementation details and live product verification are limited.

Market Size and Demand

The market for tools that translate geospatial data into business decisions is expanding as location intelligence moves from a niche GIS function to a core component of operational planning.

Metric	Value
Geospatial Analytics Market 2023	$67.8B
Geospatial Analytics Market 2028	$147.6B
GIS Software Market 2022	$8.2B
GIS Software Market 2027	$14.5B

Demand is fueled by the proliferation of IoT sensors, satellite imagery, and open government data. A key driver cited in the company's own research is the democratization of data analysis; their product aims to serve business experts and data analysts who lack specialized GIS training [DataMonkey, retrieved 2024]. The integration of large language models addresses a specific friction point: translating business questions expressed in natural language into the complex queries required to combine proprietary and open geospatial datasets [ffplus-project.eu, 2026].

Data Accuracy: YELLOW -- Market sizing figures are from third-party analyst reports but are for analogous, broader markets. Specific demand drivers are inferred from company claims and industry context; the GeoAI focus is confirmed by a project interview.

Who Else Is Fighting for This

DataMonkey enters a fragmented market for spatial analysis. A direct, named competitor is absent from public sources. On one axis are the established, high-fidelity GIS incumbents like Esri and QGIS; on another are the modern, cloud-native analytics platforms such as CARTO and Mapbox. Adjacent substitutes include business intelligence tools like Tableau or Power BI with mapping extensions. DataMonkey’s stated wedge is to sit between these categories, aiming for the analytical depth of a GIS but with the accessibility of a natural-language-driven SaaS product [DataMonkey, retrieved 2024][ffplus-project.eu, 2026].

The company’s defensible edge today appears to be its early-mover focus on a GeoAI agent [ffplus-project.eu, 2026]. The small team size, reported at four employees [RocketReach, retrieved 2026], is a current constraint on both development velocity and go-to-market reach.

Data Accuracy: YELLOW -- Competitive analysis is inferred from product claims and market structure; no direct competitor intelligence is publicly available.

Opportunity

The opportunity for DataMonkey is to become the primary interface for querying and analyzing the physical world, turning complex geospatial data into a simple, conversational resource for business decisions.

The headline opportunity is the creation of a category-defining GeoAI platform. The company's core thesis is to build "the first GeoAI agent, which derives insights from geospatial data for decisions grounded in reality" [Sesamers, retrieved 2026].

Scenario	What happens	Catalyst	Why it's plausible
The Enterprise Intelligence Layer	DataMonkey becomes a standard operational tool within large corporations for site analysis, supply chain optimization, and market planning.	A flagship partnership with a major consulting firm or a systems integrator to embed the tool into their analytics offerings.	The product claim to blend proprietary location data with public sources via natural language directly targets a pain point in corporate strategy and operations [DataMonkey, retrieved 2024].
The Regulated Industry Standard	The platform is adopted as a compliance and reporting tool in sectors like environmental monitoring, real estate, and infrastructure.	A regulatory push in the EU or elsewhere mandating more granular environmental or social impact reporting based on geospatial evidence.	The company's participation in the EU-funded REACH incubator program provides a channel into public-sector and regulated industry projects [reach-incubator.eu, retrieved 2026].

Data Accuracy: YELLOW -- Core product claims are from the company's own channels and a funded project interview; market size and comparable valuation context are inferred from broader industry analysis.

Sources

1. [DataMonkey, retrieved 2024] DataMonkey - Ready for map-tastic insights? | https://www.datamonkey.tech/
2. [ffplus-project.eu, 2026] Interview with Irene Ternes, Co-Founder and CEO at DataMonkey | https://www.ffplus-project.eu/en/multimedia/blog/interview-with-irene-ternes-co-founder-and-ceo-at-datamonkey/
3. [Product Hunt, retrieved 2026] Product Hunt listing for DataMonkey | https://www.producthunt.com/products/datamonkey
4. [Prospeo] Prospeo profile for DataMonkey (Berlin, Germany) | https://prospeo.io/c/datamonkey
5. [LinkedIn, retrieved 2026] Paul von Berg's LinkedIn profile | https://www.linkedin.com/in/paul-von-berg
6. [RocketReach, retrieved 2026] RocketReach profile for Urban Monkeys GmbH | https://rocketreach.co/urban-monkeys-gmbh-profile
7. [datamonkey.tech/imprint, retrieved 2026] DataMonkey Imprint | https://www.datamonkey.tech/imprint
8. [reach-incubator.eu, retrieved 2026] Urban Monkeys GmbH - REACH | https://reach-incubator.eu/startups/urban-monkeys-gmbh/
9. [JOIN, retrieved 2026] DataMonkey company profile on JOIN | https://www.join.com/companies/datamonkey
10. [Sesamers, retrieved 2026] DataMonkey company profile on Sesamers | https://sesamers.com/company/datamonkey
11. [MarketsandMarkets, 2023] Geospatial Analytics Market - Global Forecast to 2028 | https://www.marketsandmarkets.com/Market-Reports/geospatial-analytics-market-198354498.html
12. [Fortune Business Insights, 2023] Geographic Information System (GIS) Market Size, Share & Industry Analysis | https://www.fortunebusinessinsights.com/geographic-information-system-gis-market-102693
13. [European Commission] INSPIRE - Infrastructure for Spatial Information in Europe | https://inspire.ec.europa.eu/