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Ceres AI

Category: AI in Agriculture

AI-powered agricultural intelligence platform that predicts crop and climate risk using aerial/satellite imagery, climate signals, and proprietary neural networks to drive decisions in agriculture and ag-finance. Ceres AI was founded in 2014. The company is led by Ramsey Masri. Based in Oakland, California, United States. Team size: 63. Total funding raised: $50.5M. Latest round: Equity round (November 2025). Key investors include ["Remus Capital","Decathlon Capital Partners","XTX Ventures","Romulus Capital","Insight Partners"].

Founded
2014
Headquarters
Oakland, California, United States
Team size
63
Total funding
$50.5M

Value proposition

Moves clients from reactive crop monitoring to predictive risk management by forecasting yield-impacting stress and climate events, providing field-level risk scores that enable automated decisions and dynamic underwriting

Products and solutions

["Predictive Agriculture Risk Platform","Aerial Field Intelligence & Crop Health Analytics","Climate-Risk Forecasting Layer","Financial & Insurance Decision Support","Carbon & Sustainability Intelligence"]

Unique value

Risk-first orientation focusing on predicting agronomic and financial outcomes rather than just visualizing imagery, serving as a shared risk signal layer across multiple stakeholders (growers, insurers, lenders, investors)

Target customer

Farming enterprises, agribusinesses, insurance carriers, financial institutions/lenders, and capital management groups seeking agricultural risk intelligence

Industries served

["Agriculture / Agribusiness","Insurance & Reinsurance","Financial Services & Lending","Carbon Markets / Sustainability & ESG"]

Technology advantage

Multi-modal data fusion combining satellite, aerial, climate and field-scale data with neural networks trained on over a decade of labeled agronomic data, with hierarchical global foundation models fine-tuned with regional agronomy

How they differentiate

Ceres AI differentiates through its proprietary dataset of 17 billion plant-level measurements across 32 million acres and 40+ crop types, focusing on enterprise-grade risk and financial workflows for insurance, lending, and large agribusiness operations rather than just field-level agronomy. Their 'AI for AI' platform provides bottom-up plant and field-level analytics tied to operational and risk workflows.

Main competitors

["Taranis","PrecisionHawk","Gro Intelligence"]

Key partnerships

["Bayer Climate FieldView - unified data partnership for agricultural risk intelligence","John Deere Operations Center - deep integration for field-level data (Jan 2026)","Global farming enterprises across 4 continents","Insurance carriers and reinsurers for underwriting and parametric products","Financial institutions and lenders for dynamic credit decisions","30+ university research partnerships for product validation"]

Notable customers

["Leading agribusiness companies","Major global agribusinesses","Financial services firms for insurance and lending workflows"]

Major milestones

["Rebranding from Ceres Imaging to Ceres AI in 2024","Achievement of 11+ billion plant-level measurements milestone","Geographic expansion across four continents","Appointment of AI agent 'Arista' as first AI board member","Series C funding of $23M in 2021","$13M equity funding led by Remus Capital in November 2025","Growth financing from Decathlon Capital Partners in October 2025","John Deere Operations Center integration (January 2026)"]

Growth metrics

Platform trained on 11+ billion plant-level measurements across 32+ million acres, covering 40+ crop types worldwide with blue-chip customers including leading agribusiness and financial services companies

Market positioning

Mid-market to enterprise agricultural intelligence platform positioned as a risk analytics solution for financial services and large agribusinesses, serving as an agricultural intelligence layer rather than just an imagery provider

Geographic focus

North America, Europe, Latin America, and Australia with strong US base

Patents and IP

7 filed patents covering spectral imaging for crop stress detection, multi-source data integration into risk scores, and field-level risk scoring algorithms for insurance and lending decisions

About Ramsey Masri

Previously served as COO at Zendrive, Chief Revenue Officer at Swrve, and VP of Global Sales at Aylus Networks. Extensive experience in scaling technology companies and go-to-market strategies.

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