Planette Launches Joro: As climate volatility intensifies and risk management becomes more complex, the financial and insurance industries are searching for better forecasting tools to make informed decisions. Rising to meet this demand, Planette has launched Joro, a powerful new forecasting platform designed to deliver extended, high-precision weather outlooks for businesses, insurers, and data-driven professionals worldwide.
Unlike traditional forecasts that provide single-point predictions, Joro delivers complete probability distributions — offering a comprehensive view of possible temperature and precipitation outcomes from the 5th to 95th percentile. With this level of detail, organizations can better quantify risk, anticipate extreme events, and plan accordingly — capabilities that are increasingly essential amid climate-driven disruptions to markets, supply chains, and insurance operations.
Joro’s advanced capabilities stem from Planette’s proprietary approach, which blends physics-based climate models with AI while incorporating key atmospheric, oceanic, and land signals. The result is a forecasting system that goes beyond conventional tools, giving businesses the granular insights needed to make strategic decisions in high-risk environments.
Advanced Forecasting Horizons for Strategic Planning
One of Joro’s standout features is its multi-level forecast horizon, offering actionable insights over different time frames:
- Weekly outlooks: Up to six weeks in advance, ideal for short-term trading and operational planning.
- Monthly forecasts: Extending up to three months, providing deeper visibility into medium-term risks and opportunities.
- Seasonal projections: Essential for long-term strategy, budgeting, and risk assessment.
This range allows organizations to adapt their risk models and strategies based on evolving climate patterns — from short-term volatility to seasonal shifts.
Beyond Traditional Forecasting: The Power of Probability
According to Kalai Ramea, co-founder and CTO of Planette, traditional forecasts often fall short for businesses that rely on risk modeling
This probabilistic approach enables decision-makers in finance and insurance to understand not just the most likely outcomes, but also the tail risks — the rare but impactful events that can disrupt markets or cause significant financial losses.
Enhanced Data Infrastructure and AI-Driven Insights
As part of the Joro launch, Planette is also upgrading the data backend across its platforms, integrating forecasts from multiple leading global sources. These include:
- National Oceanic and Atmospheric Administration (NOAA)
- European Centre for Medium-Range Weather Forecasts (ECMWF)
- Planette’s proprietary AI-driven models
The platform uses performance-weighted algorithms to combine and optimize data from these sources, ensuring higher accuracy and better reliability across forecast horizons.
A Crucial Tool for Insurers and Financial Institutions
The need for tools like Joro has never been greater. Climate unpredictability is already causing significant disruptions in key industries.
- Insurance companies are raising premiums, refusing policy renewals, or even withdrawing from high-risk markets because traditional forecasting tools cannot accurately model future risks.
- Energy providers face grid failures as unexpected temperature extremes strain electricity demand.
- Financial institutions struggle with asset valuation and trading decisions without reliable long-range climate insights.
Hansi Singh, Planette co-founder and CEO, emphasized how Joro can address these challenges:
“Insurance companies are raising rates, declining renewals, and pulling out of entire markets because they can’t predict risk with existing tools. Energy grids are failing because they aren’t prepared for how temperature extremes are driving electricity demand. With Joro, we are giving professionals a sharper, more complete picture of what is coming in the next weeks and months, so they can act early, plan precisely, and continue to serve their customers, even in high-risk zones.”
Seamless Integration and API Access
Joro is available through an application programming interface (API), enabling seamless integration with existing risk modeling, trading, and insurance analytics platforms. This enterprise-level accessibility ensures that companies can incorporate Joro’s forecasts directly into their decision-making workflows without significant infrastructure changes.
Joro also joins Planette’s expanding suite of forecasting products, including Sura (for business forecasting), Umi (an El Niño forecast model), and Eddy, a public long-range forecasting tool with customizable alerts introduced earlier this year.
Conclusion: A Game-Changer for Risk Management in the Climate Era
The launch of Joro represents a significant leap forward in how organizations across finance, insurance, and energy sectors approach climate risk. Traditional weather forecasts — once sufficient for planning — no longer meet the demands of a rapidly changing environment where extreme weather events are more frequent and impactful. Joro’s probability-based forecasts fill this critical gap by offering not just predictions, but a comprehensive risk landscape.
For insurers, this means more accurate premium modeling and reduced exposure to catastrophic losses. For financial institutions, it means better-informed trading and investment strategies. And for utilities and infrastructure operators, it means improved preparation for demand surges and operational disruptions.
Ultimately, Joro is more than just a weather forecasting tool — it’s a risk intelligence platform that bridges the gap between climate science and financial strategy. As businesses confront an increasingly unpredictable future, tools like Joro will be essential for staying ahead of risk rather than reacting to it.
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FAQs About Planette’s Joro Forecasting Platform
1. What makes Joro different from traditional weather forecasting tools?
Traditional forecasts typically offer a single predicted outcome — for example, a high temperature of 80°F. Joro, on the other hand, provides probability distributions that show the full range of possible outcomes (from the 5th to 95th percentile), allowing businesses to assess both likely and extreme scenarios. This probabilistic approach is far more valuable for risk assessment and decision-making in industries like finance and insurance.
2. How can financial institutions use Joro for decision-making?
Financial firms can integrate Joro’s forecasts into trading models, asset valuation frameworks, and risk assessment tools. By understanding the probability of extreme events — such as unexpected temperature spikes or heavy rainfall — they can make more informed investment decisions, hedge against climate-related risks, and capitalize on weather-driven market opportunities.
3. Why is Joro particularly useful for insurance companies?
Insurance companies rely heavily on accurate risk modeling to price premiums and assess exposure. Joro enables them to better anticipate catastrophic weather events, model loss probabilities, and adjust coverage strategies. This leads to more stable pricing, improved profitability, and fewer unexpected losses from climate-driven disasters.
4. How does Joro integrate AI with traditional climate modeling?
Joro uses a hybrid approach that blends physics-driven climate models with AI algorithms trained on historical and real-time weather data. This allows the platform to incorporate a wide range of environmental signals — including atmospheric, oceanic, and land-based variables — to produce more accurate and actionable forecasts than traditional methods alone.
5. How can companies access Joro’s data and forecasts?
Joro is available through an API, which enables enterprises to integrate forecasts directly into their existing software platforms, dashboards, and analytics systems. This makes it easy for organizations to incorporate Joro’s insights into their regular risk assessments, planning tools, and strategic decision-making processes.
