The most expensive mistake in an autonomous lab is running the wrong campaign
Our new paper on cost-aware active learning is out on arXiv, with code and an open benchmark.
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Thoughts on AI, materials, and measurement.
Explore our latest research, case studies, and insights on geospatial AI, critical minerals supply chains, infrastructure monitoring, and precision agriculture.
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Securing the U.S. Critical Mineral Supply Chain: From Geospatial Data to Marketplace Economics
How hyperspectral mapping and active sampling are transforming the exploration paradigm for critical minerals, ensuring a resilient domestic pipeline.
Read article →Coactive Science raises VC funding to scale foundational geospatial AI models
Pre-seed round led by Firestreak Ventures accelerates our model roadmap and customer deployments across the USA, Europe, and Asia.
Read article →Infrastructure Risk Monitoring: Why satellite radar alone isn't enough
Discover how fusing satellite data with edge cameras cuts manual alerts by 65% and transforms infrastructure risk management.
Read article →Harnessing Space-to-Sea Intelligence: Why Matsa Is Becoming the New Standard for Risk-Aware Aquaculture
How integrated Orbit-to-Onsite platforms are transforming aquaculture operations with early warning and portfolio-wide risk visibility.
Read article →Driving Financial Efficiency and Impactful Returns
The economic benefits of hyperspectral imaging for farmland investments—reducing monitoring and compliance costs while improving ESG alignment.
Read article →Revolutionizing Farmland Investment: Harnessing Hyperspectral Imaging and AI for Precision Agriculture
Precision agriculture powered by hyperspectral imaging and AI is revolutionizing how investors approach farmland assets with unprecedented insights.
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