Tenkō
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About
Tenkō is a specialized risk analytics platform designed to help businesses navigate the complexities of climate change and its impact on global operations. By leveraging a combination of high-resolution remote sensing data and advanced machine learning models, the platform focuses on quantifying the short-term economic and physical risks associated with climate volatility. Its primary purpose is to transform raw environmental data into actionable business intelligence, allowing organizations to understand how disruptions in transport, energy, and commodities might affect their financial stability and operational efficiency. The tool functions by integrating a client's proprietary business data—such as information on procurement, suppliers, and internal operations—with Tenkō’s library of climate and economic exposure models. This data fusion allows for the precise quantification of potential disruptions and cost increases across the entire value chain. Users can access a dashboard that visualizes these risks, providing a clear picture of exposure across different regions, sectors, and timeframes. The platform’s simulation engine is designed to capture intricate relationships between various physical risks, ensuring that the resulting analytics are both granular and comprehensive. Tenkō is particularly well-suited for supply chain managers, procurement officers, and risk analysts in industries heavily dependent on global logistics or climate-sensitive commodities. This includes sectors like energy, transportation, and large-scale manufacturing. Unlike generic risk management tools, Tenkō distinguishes itself through its heavy reliance on satellite imagery and remote sensing, combined with a bespoke approach to development. Rather than offering a one-size-fits-all software product, the team emphasizes an agile mindset, tailoring their analytics and models to the specific needs and data sets of each individual client. Founded by a team with deep expertise in artificial intelligence, financial modeling, and satellite data, Tenkō bridges the gap between scientific climate data and corporate strategy. Its unique selling point lies in its ability to provide specific, quantifiable impacts rather than vague projections. By identifying exactly where and when climate-related hazards could trigger cost increases or operational downtime, it empowers decision-makers to implement targeted mitigation strategies, ultimately safeguarding their supply chains against an increasingly unpredictable environment.
Pros & Cons
Utilizes high-resolution remote sensing and satellite data for precise monitoring.
Offers bespoke analytics tailored to specific business procurement and supplier data.
Team includes specialists in AI, financial modeling, and satellite data science.
Provides quantitative impact assessments rather than qualitative risk descriptions.
Supports short-term economic risk modeling for transport and energy sectors.
No self-service pricing available; requires direct contact for quotes.
Platform requires integration of proprietary business data to provide maximum value.
Focus on bespoke development may involve longer implementation times than off-the-shelf tools.
Use Cases
Supply chain managers can quantify the impact of climate-driven disruptions on logistics and procurement to optimize inventory levels.
Risk analysts in the energy sector can model the physical risks of climate volatility on infrastructure and transport to improve financial stability.
Procurement officers can assess the vulnerability of global suppliers to regional climate hazards using satellite-driven exposure models.
Financial strategists can price climate-related risks into their long-term operational planning using the platform's simulation engine.
Platform
Task
Features
• agile development process
• financial risk pricing models
• commodity exposure tracking
• bespoke business intelligence dashboards
• high-resolution climate volatility analysis
• supply chain disruption quantification
• machine learning risk modeling
• remote sensing data integration
FAQs
What kind of data does Tenkō use to model risks?
The platform utilizes high-resolution remote sensing data from satellites combined with proprietary business data on operations and suppliers. This information is processed through machine learning models to identify physical and economic climate risks.
How does Tenkō assist with supply chain management?
It quantifies potential disruptions and cost increases across the supply chain by modeling climate volatility. This allows managers to see exposure across different regions and sectors, supporting more informed risk mitigation decisions.
Is Tenkō a standard software-as-a-service product?
While it features a proprietary analytics platform, the company focuses on delivering bespoke solutions. They use an agile development process to tailor their models and dashboards to the specific needs of each client.
Can the platform quantify financial impacts of climate change?
Yes, the team includes experts in financial modeling who help price financial risk and quantify economic exposure. This helps businesses understand the potential fiscal impacts of transport, energy, and commodity disruptions.
Who is behind the development of Tenkō?
The team consists of experts in AI, machine learning, statistics, and satellite data science. Many members have decades of experience in both academia and industry, specifically in quantitative risk modeling.
Pricing Plans
Bespoke Solutions
Unknown Price• Custom Machine Learning models
• High-resolution remote sensing data
• Supply chain disruption quantification
• Climate-related risk assessment
• Operational threat analysis
• Actionable business intelligence
• Proprietary models library
• Dedicated analytics support
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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