Built by Former BCG & Google AI/ML Engineers driven to mitigate the impacts of climate change, our vision is to stop supply shortages entirely - and we’re working towards that vision by innovating faster than anyone else in the agrifood industry.
To start, we built the most comprehensive and predictive climate risk model for agricultural commodities in history, powered by AI:
Innovative world mapping: We mapped 20 years of daily data across 14 million hyper-granular zones and charted 90% of the world’s crop-exporting regions, giving Helios an unmatched view of how climate impacts global agriculture.
Crop specific ML models: We created individual machine learning climate risk and price forecasting models for all our crops, ensuring each model is based on the crop’s unique climate profiles and historical data.
Climate archetypes: We developed a proprietary climate classification system with 81 global archetypes and applied it across 14 million hexagons, allowing us to measure the impacts of climate change at the district level.
Then we went and did it again - for price forecasting. With our ability to leverage our proprietary climate risk metrics and crop specific models, our forecasts are up to 20 × better than traditional benchmarks.
We do this by leveraging our proprietary climate risk metrics as climate becomes a leading price driver + our cutting-edge AI capabilities.
Helios offers export, wholesale and farmgate cash/spot price forecasting & historical prices for 50+ fresh commodities & its derivatives.
We utilize various AI techniques to generate our price predictions, including:
Time series analysis
Deep learning models
Anomaly detection algorithms
Ensemble forecasting techniques
And then one more time with Helios Horizon – the first ever 24/7 AI Agricultural Supply Chain Analyst that leverages proprietary data on climate, prices, & trade, and vectorized USDA reporting.
Horizon is designed to think like a team of human analysts would: it comes up with a plan, does the research, analyzes the results and then presents it in an easy-to-understand format tailored to your role.
How Horizon works - and how it is different from generic AI models:
Multi-agent architecture: Specialist sub-agents focus on specific tasks—price forecasting, climate modeling, historical analysis—while a supervising agent validates outputs for accuracy and relevance.
Combines structured + unstructured data: Horizon combines structured data (price series, weather models, trade flows) with unstructured data (news, reports, USDA publications, market commentary).
Contextual RAG: Instead of pulling isolated facts, Horizon recalls them with the full context of climate history, seasonal patterns, market structures, and historical trends.
How Helios is Different from Other Commodity Intelligence Providers
Here’s how Helios AI stands apart from other platforms like Climate AI, Gro Intelligence, Vesper, and Expana:
Commodity‑specific AI forecasts with climate risk built in: Helios trains machine‑learning models for each individual crop and region, leveraging historical climate data at over 14 million sites and scanning over 250,000 news sources every 15 minutes. That means you get hyper‑granular, real‑time insights tied directly to growing‑season risks and price signals.
Proprietary climate risk metrics like WA%R™ and SC²A audits: Helios offers unique tools—the Weighted Average Percent of Risk™ and Supply Chain Climate Audits—that quantify how much of your sourcing portfolio is under climate stress, plus scenario-based assessments that help you pivot suppliers proactively.
Proven early warning track record in real-world cases: Case studies show Helios flagged Argentina’s pear drought 5 months before media reporting, and helped global buyers forecast risks in cocoa, bananas, and grains well ahead of price swings
If your goal is to anticipate disruptions, forecast commodity prices, and manage supply chain risk, Helios stands out from the rest. While other platforms offer pieces of the puzzle, Helios delivers commodity-specific, climate-informed intelligence that’s purpose-built for procurement, trading, and food security.