5 Interesting Startup Deals You May Have Missed: A Credit Card Backed By Mineral Rights, Flying Ferries, And A Foundation AI Model For Plants
View original at news.crunchbase.comCrunchbase News - Funding Ma Title: 5 Interesting Startup Deals You May Have Missed: A Credit Card Backed By Mineral Rights, Flying Ferries, And A Foundation AI Model For Plants Date: 2026-04-07 11:00 Source: https://news.crunchbase.com/venture/interesting-startup-deals-mineral-rights-flying-ferry-ai-clean-tech/ <p><em…
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Historically, mineral rights owners have had few options to access the value trapped inside their mineral rights without selling
60% confidencePlant biology combines three properties that make it ideal for biological foundation models: genomic data is abundant and unrestricted, commercial need is acute and quantifiable, and the feedback loop between computational prediction and real-world validation is well established
60% confidenceFrom a physics perspective, ships have been essentially the same for hundreds of years; we're redefining waterborne transport by creating a new category of vessel
60% confidenceFrontlands' AI system combines machine learning, production data, royalty payment histories, lease terms, commodity price forecasts, geologic data and traditional decline curve analysis to automate the underwriting process and typically delivers a same-day credit decision
60% confidenceCandela's hydrofoil technology reduces drag and cuts energy use by up to 80% compared to conventional diesel ferries
60% confidenceSecuring capital in the hardware space and traditional industries is challenging; it is not the 'in' space with no FOMO at play, so we need to focus on metrics and execute quickly
60% confidenceGlobal seed industry is dominated by a handful of incumbents (Bayer CropScience, Corteva Agriscience, Syngenta, BASF, Limagrain) that already spend billions of dollars a year on breeding research
60% confidenceWe start with plants because the data is rich and the breeding cycle is a clear bottleneck, but the same approach applies wherever sequence data meets slow, empirical discovery
60% confidenceMave Health does not plan to pursue FDA medical-device approval and is positioning the product as a wellness tool for consumers to use daily
60% confidenceCandela has more than 65 vessels on order with planned deployments across India, the Middle East and Southeast Asia
60% confidenceAverage credit line in early markets (Texas, Pennsylvania, New Mexico, North Dakota, Wyoming, Oklahoma) is more than $30,000
60% confidenceFull electrification of rail networks could cost more than $1 trillion
60% confidenceIf you ask a psychologist how do you know if a person is making progress, their response is that it's not about progress, it's about process; but for somebody with depression spending time in therapy, progress is important
60% confidenceFleet of 10 P-12 ferries in India will cut travel times from Navi Mumbai Airport to city center from around two hours to 35 minutes
60% confidenceIn North America alone, the six largest freight rail operators spend roughly $11 billion annually on diesel fuel
60% confidenceGoal isn't to pile on more debt, but to help customers move away from high-interest credit card debt and provide a path toward greater financial stability
60% confidenceFor millions of mineral rights owners in the United States, these rights are one of the most valuable assets the family owns, but families are carrying revolving credit card balances at more than 25% interest
60% confidenceVoltify is working with some of the top 5 largest rail companies globally and has a large order pipeline
60% confidenceBiology is an information problem at every scale, from a single cell to an entire ecosystem; the genomic data exists across many domains but what's been missing is a model architecture capable of learning from it at scale
60% confidenceVoltify has signed a paid pilot agreement with a Class 1 railroad but declined to name the customer due to confidentiality agreement
60% confidenceFrontlands expects to raise a Series A round later in 2026
60% confidence
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