CubeRoots
Supercharge your agribusiness with
AI
Boost ROI and margins with our AI-powered solutions for agriculture.
CubeRoots blends global agricultural data with proprietary AI algorithms to help you make your biggest decisions in agriculture.
Pinpoint where to build a new malt facility using 10-year barley climate forecasts. Plan blueberry expansions based on emerging consumer preferences. Evaluate acquisitions or M&A with unparalleled data depth—all to maximize ROI on your biggest bets.
Align planting schedules with hyperlocal weather. Reroute fertilizer shipments when supply chains hiccup. Fine-tune harvest timings based on daily yield forecasts. Our real-time insights boost margins and protect against costly disruptions.
CubeRoots transforms billions of data points (including climate models, satellite imagery, land-use patterns, import/export signals, soil information, etc.) into clear insight for strategic and tactical decisions across your agricultural operations.
Here's how it works:
We continuously collect and unify massive datasets—weather, soil, market indices, and more—into a single, seamless view.
Our AI models turn raw information into forecasts and optimizations—predicting yields, highlighting cost savings, and revealing growth opportunities.
We deliver clear, actionable insights—so you can make data-driven decisions at every level, from planting strategies to global supply chain investments.
Explore our specialized “Lens” products—each answering a critical question in agribusiness. Scroll horizontally to see the full set of offerings in each suite. Whether you're a CEO or a supply chain manager, each Lens bridges data to real decisions.
Combine crop suitability modeling, climate forecasts, and ROI modeling to pinpoint the most profitable regions for expansion, facility builds, or agricultural M&A.
Uncover macro-level trends—from consumer preferences to competitor footprints—to guide strategic positioning and future product bets.
Forecast commodity price movements, simulate risk scenarios, and structure hedging strategies that protect margins over the long haul.
Model crisis scenarios for staple crops under extreme climate or geopolitical shocks, then build robust contingency plans.
Track R&D breakthroughs—gene-editing, robotics, biotech—and evaluate which innovations can reshape your competitive advantage.
Dynamically route shipments, cut freight costs, and respond swiftly to real-time logistics disruptions—protecting daily margins.
Forecast crop performance at the field level with ML + satellite data, then fine-tune supply chain or marketing and sales decisions.
Use real-time consumption data and AI-driven forecasts to reduce inventory mismatches and operational waste.
Monitor real-time shipments, anticipate tariffs or port congestion, and pivot quickly to safeguard profits.
Detect early signs of crop stress, pest infestations, or nutrient deficiencies via satellite—enabling swift interventions.
Predict labor demand spikes, manage seasonal workforce, and match available staff to critical tasks—reducing idle time and costs.
Receive curated, AI-driven bulletins covering 100+ crops and regions— delivered each morning to guide same-day decisions.
We are a team of ex-McKinsey consultants, data scientists, and agronomists who operate at the intersection of artificial intelligence and agriculture. We have designed national food security plans in the Middle East, built digital twins for sugarcane operations in India, developed optimization models for large-scale agricultural investments, used satellite imagery to predict blueberry yields in Peru, and much more.
We have worked with fertilizer producers, food manufacturers, investors, farmers, crop protection companies, bioenergy firms, and consumer goods companies. We understand the challenges that volatility in agricultural markets creates for all of these stakeholders.
CubeRoots was founded to help agribusinesses navigate agricultural uncertainty. We provide data-driven insights that boost yields, optimize supply chains, and drive sustainable growth. Our analytics span geospatial, climate, market, and production factors across global agricultural ecosystems.