Loading organizations...
§ Private Profile · Oakland, 409 13th St. 16th Floor, USA
Agricultural data analytics provider offering aerial spectral imagery and insights for farmers to optimize water and nutrient application.
Based in Oakland, California, Ceres Imaging provides aerial spectral imagery and data analytics to help agricultural operations optimize water and nutrient application at the plant level. The company utilizes proprietary sensors mounted on manned fixed-wing aircraft to capture high-resolution data, delivering actionable insights through a digital mobile interface. Operating across the Americas and the Asia-Pacific region, the platform serves precision agriculture customers managing vineyards, orchards, and row crops such as corn and soybeans. To date, the enterprise has raised more than $35 million in total funding, including a $25 million round in 2018 and a $23 million Series C financing in 2021. This capital was secured from a syndicate of notable institutional investors that includes Romulus Capital, XTX Ventures, REMUS Capital, Insight Partners, and B37 Ventures. Ceres Imaging was founded in 2014 by Ashwin Madgavkar.
Ceres Imaging has raised $87.5M across 8 funding rounds.
Ceres Imaging has raised $87.5M in total across 8 funding rounds.
Ceres Imaging has raised $87.5M in total across 8 funding rounds.
Ceres Imaging's investors include John Tincoff, Insight Partners, Left Lane Capital, REMUS Capital, Scale Asia Ventures, Scalebridge Capital, Remus Capital, Alexandre Perrin, Digital Currency Group, B37 Ventures, Gary Survis, Krishna K. Gupta.
Ceres Imaging has raised $87.5M across 8 funding rounds. Most recently, it raised $13.0M Ceres AI - Other Equity in November 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Nov 4, 2025 | $13M Venture Round | John Tincoff | — | Announced |
| Nov 1, 2025 | $13M Series U | — | Insight Partners, Left Lane Capital, Remus Capital, Scale Asia Ventures, Scalebridge Capital | Announced |
| Sep 1, 2021 | $23M Series C | Remus Capital, Alexandre Perrin | Digital Currency Group, B37 Ventures, Gary Survis | Announced |
| Jun 1, 2018 | $25M Series B | — | Digital Currency Group | Announced |
| Nov 1, 2017 | $2.5M Series A Plus | Krishna K. Gupta | — | Announced |
| Oct 1, 2017 | $3M Series A | — | Insight Partners, Left Lane Capital, Remus Capital, Scale Asia Ventures, Scalebridge Capital | Announced |
| May 1, 2017 | $5M Series A | Krishna K. Gupta | Insight Partners, Left Lane Capital, Remus Capital, Scale Asia Ventures, Scalebridge Capital | Announced |
| Mar 1, 2014 | $3M Seed | — | Scale Asia Ventures | Announced |
Ceres AI (formerly Ceres Imaging) is a venture-backed precision agriculture technology company that provides high-resolution aerial imagery, AI-driven analytics, and data insights to optimize crop health, irrigation, and risk management for growers, lenders, insurers, and agribusinesses.[1][2][3][4] It serves large-scale operations (1,000+ acres) across farms, orchards, and vineyards in the U.S., Australia, Latin America, and beyond, focusing on 40+ crop types to solve problems like water stress, nutrient deficiencies, irrigation inefficiencies, and crop damage assessment—delivering plant-level recommendations within 24-48 hours to boost yields, cut costs, and enhance profitability.[1][2][3][6] Key products include Portfolio Insights for portfolio-wide data visualization, Water Recommendations, Damage Assessment, Chlorophyll Index, Thermal imagery, and integrations with farm management software and sensors, powered by a proprietary database of 12 billion plant-level measurements from 32 million acres.[1][3][6]
The company has shown strong growth momentum as a 100+ employee firm headquartered in Oakland, California, with expanding global reach and partnerships like Lindsay Corporation for irrigation platforms; its rebrand to Ceres AI in recent years underscores a shift toward AI-enabled tools amid rising demand for sustainable farming solutions.[1][2][4]
Founded in 2014 by Ashwin Madgavkar as a graduate student at Stanford, Ceres AI emerged from the severe California drought, leveraging emerging spectral imagery and AI technologies to help Central Valley specialty crop growers detect water stress early and optimize irrigation.[2][4][7] Madgavkar's inspiration addressed the limitations of ground-based sensors, scaling to plane-based aerial capture for broader, more precise insights.[2] Early traction came from proving value in drought-stricken regions, evolving into a venture-backed company with a diverse team of agronomists, engineers, astrophysicists, and PCAs; pivotal moments include launching AI-driven Portfolio Insights and Water Recommendations, plus real-world applications like hail damage assessment in Minnesota.[1][2][4]
Today, under CEO Ramsey Masri, it supports sustainable agriculture across four continents, building on its science-driven roots to streamline the ag ecosystem with actionable data.[1][4]
Ceres AI rides the precision agriculture wave, fueled by climate change, water scarcity, volatile markets, and AI advancements in computer vision/machine learning—enabling data-driven decisions for sustainable farming amid pressures to "do more with less."[1][4][7] Its timing aligns with post-drought innovations and global expansion needs, as ag faces rising risks like extreme weather (e.g., hailstorms), making tools for early stress detection and portfolio risk critical for profitability.[1][2] Market forces favoring it include lender/insurer demand for verifiable data, regulatory pushes for sustainability, and integrations with existing farm tech; it influences the ecosystem by hosting industry events (e.g., 2022 Northwest Ag Show), partnering with firms like Lindsay, and proving scalable alternatives to labor-intensive methods, accelerating AI adoption in traditional ag.[1][2]
Ceres AI is poised for accelerated growth through AI expansions like enhanced Portfolio Insights and global scaling, capitalizing on ag's digital transformation amid climate volatility and investor scrutiny on sustainable assets.[1][4] Trends like AI integration with IoT sensors, regulatory incentives for water efficiency, and rising crop insurance tech will shape its path, potentially evolving it into a full ag risk platform influencing supply chains. As precision ag matures, its plant-level data edge positions it to drive broader ecosystem profitability, tying back to its drought-born mission of resilient, tech-empowered farming.[1][2][4]