- Updated: April 6, 2026
- 5 min read
XOOPLE Secures $130 Million Series B to Accelerate AI‑Driven Global Mapping
XOOPLE secured a $130 million Series B funding round to accelerate its AI‑driven geospatial mapping platform, positioning the Spanish startup as a leading player in the emerging market of AI‑powered earth observation.
Funding round at a glance
On 6 April 2026, XOOPLE announced a $130 million Series B round led by a consortium of European venture capital firms, with participation from existing backers and strategic investors from the satellite‑imagery ecosystem. The capital will be deployed to scale the company’s AI mapping engine, expand its data‑partner network, and launch new vertical solutions for agriculture, climate monitoring, and smart cities.
XOOPLE’s AI mapping mission
Founded in 2020 in Barcelona, XOOPLE set out to “map the Earth for AI” by converting raw satellite imagery into structured, machine‑readable datasets. Leveraging deep‑learning models, the platform extracts features such as land‑cover types, infrastructure footprints, and environmental changes, delivering them via an API that developers can query in real time.
The company’s approach mirrors the capabilities of an UBOS platform overview, where a unified data layer powers downstream applications. By automating the transformation of petabytes of raw imagery into actionable insights, XOOPLE reduces the time‑to‑value for AI projects that depend on high‑resolution geospatial data.
Series B round: amount, investors, purpose
- Amount raised: $130 million (including a $30 million bridge from existing investors).
- Lead investors: Seaya Ventures, Kibo Ventures, and the European Space Agency’s venture arm.
- Strategic participants: Planet Labs, Maxar Technologies, and a sovereign wealth fund focused on climate tech.
- Use of proceeds:
- Scale the AI training pipeline with additional GPU clusters.
- Integrate new data sources via partnerships with commercial satellite operators.
- Accelerate product development for sector‑specific solutions (e.g., precision agriculture, flood risk modeling).
- Expand the global sales team and open regional offices in North America and Asia‑Pacific.
The funding also earmarks a portion for research collaborations with universities, aiming to push the frontier of Chroma DB integration for multimodal geospatial queries.
Leadership and investor perspectives
“This round validates the market’s appetite for AI‑ready earth data,” said María Fernández, CEO of XOOPLE. “With $130 million, we can democratize high‑resolution mapping for every AI developer, from startups to Fortune 500 enterprises.”
“XOOPLE’s technology bridges the gap between raw satellite imagery and actionable AI models,” added Javier López, partner at Seaya Ventures. “Their platform is a natural complement to the Enterprise AI platform by UBOS, which also focuses on turning unstructured data into business value.”
Market context and implications for AI‑driven geospatial data
The global geospatial analytics market is projected to exceed $120 billion by 2030, driven by demand for climate‑resilient infrastructure, autonomous vehicles, and location‑based AI services. XOOPLE’s funding arrives at a pivotal moment when governments and enterprises are mandating real‑time environmental monitoring.
Key trends shaping the sector include:
- Edge AI for satellite data: On‑board processing reduces latency and bandwidth costs.
- Fusion of multimodal data: Combining optical, SAR, and LiDAR feeds enables richer feature extraction.
- Open‑source model ecosystems: Initiatives like OpenAI ChatGPT integration accelerate developer adoption.
- Voice‑enabled analytics: Platforms such as ElevenLabs AI voice integration are adding conversational interfaces to geospatial dashboards.
By embedding these capabilities, XOOPLE can offer a “plug‑and‑play” data layer that rivals traditional GIS vendors while remaining developer‑friendly.
What this means for innovators and investors
For AI startups seeking high‑quality earth data, XOOPLE’s expanded API catalog opens new avenues for product differentiation. Companies building climate‑risk models, autonomous‑drone navigation, or location‑aware recommendation engines can now ingest structured geospatial features with a few lines of code.
Investors looking at the Spanish tech ecosystem should note that XOOPLE’s success reinforces the region’s growing reputation for deep‑tech ventures. The round aligns with trends highlighted in the UBOS for startups community, where AI‑first platforms are attracting cross‑border capital.
If you’re a developer, explore related tools that complement XOOPLE’s data:
- AI SEO Analyzer – optimize content for search engines using AI‑generated insights.
- AI YouTube Comment Analysis tool – turn video engagement data into actionable sentiment reports.
- AI marketing agents – automate campaign creation with generative AI.
- UBOS partner program – collaborate on joint solutions that blend geospatial and marketing intelligence.
These resources illustrate how a robust AI ecosystem can amplify the value of satellite‑derived data, turning raw pixels into strategic assets.
Read the original announcement
For a full breakdown of the funding round, see the TechCrunch story. The article provides additional context on the investors’ strategic rationale and the competitive landscape.
Looking ahead
XOOPLE’s $130 million Series B is more than a capital infusion; it signals a broader shift toward AI‑centric geospatial platforms that can serve any industry requiring precise, up‑to‑date earth data. As the company scales, its success will likely inspire further investment in AI mapping, reinforcing Spain’s position as a hub for deep‑tech innovation.
Stay informed about emerging AI trends by visiting the UBOS homepage and exploring the About UBOS page for insights on how AI platforms are reshaping data‑driven businesses worldwide.