TRUSTBANK

Kyoikudojinsha

KDDI

Sumitomo Forestry

Helps the renewable energy sector maximize returns and reduce investment risks by optimizing site selection and improving panel performance with highly accurate AI and physics-based solar energy predictions.

<h2>Maximize Returns, Reduce Investment Risks </h2><p>Renewable energy is essential for reducing carbon emissions and combating climate change. However, high investment costs and uncertainty in power output create barriers for solar energy projects. </p><p>Recursive AI for Solar Energy Management leverages satellite and topography data with machine learning and physics-based modeling to provide high-precision solar radiation and power output predictions, enabling more confident investments and efficient planning. With <b>96% </b>yearly<b> </b>and<b> 94% </b>monthly accuracy in radiation predictions, it helps energy providers optimize site selection, improve operations, and accelerate the adoption of renewable energy.</p><h2>Highlights</h2><ul><li><b>Solar Radiation Predictions:</b> High-resolution, accurate forecasts that reduce investment risks and support optimal site selection, even in complex terrains. The model can achieve predictions at the square-meter level<i> </i>when provided with detailed topographical maps.</li><li><b>Power Output Forecasting:</b> Advanced modeling integrates radiation, wind speed, and topographical data to improve energy production efficiency by accounting for real-world conditions.</li><li><b>Historical Data Insights:</b> Leverages <i>20 years of data</i> for variability analysis, enabling reliable long-term planning and reducing uncertainties in energy output.</li><li><b>Rapid Project Evaluation:</b> Accelerates project assessments without sacrificing accuracy, allowing businesses to evaluate more sites and make faster, informed decisions.</li></ul><h2>Implementation</h2><img src=/content/images/image_0aefc8b877026652f44f0903bcdf3075.png>

Recursive AI for Solar Energy Management helps the renewable energy sector maximize returns and reduce investment risks by optimizing site selection and improving panel performance with highly accurate AI and physics-based solar energy predictions.

Recursive AI for Solar Energy Management

Semi-automatic generation of ad banners using advanced image diffusion technology, brand assets incorporation, and accurate performance prediction.

<p>Online advertising campaigns must be tailored to different platforms and user behaviors while strictly adhering to brand guidelines. Traditionally, this process requires skilled professionals who invest significant time and effort to achieve optimal results.</p><p>While some existing tools—like design automation platforms or creative optimization suites—streamline banner creation, they typically rely on templates and generalized insights rather than leveraging an advertiser’s own first-party data (e.g., actual click-through rates or conversion metrics). As a result, creative decisions often rely on the intuition and experience of designers and marketers rather than being clearly rationalized through data-backed insights.</p><p>Recursive AI for Ad Banner Generation enables the semi-automatic creation of ad banners that are fully aligned with your brand’s visual identity and seamlessly incorporate brand-specific assets (e.g., logos, product images). It further optimizes banners based on AI-predicted performance to maximize key advertising metrics such as click-through rate (CTR), conversion rate (CVR), and cost per action (CPA). This AI-driven approach results in an average 60% reduction in time spent by designers and marketers on ad creation.</p><p>The system integrates two AI models: the Image Generation Model and the Banner Optimization Model.</p><h2>Image Generation Model</h2><ul><li><b>High-Quality Image Generation:</b> Leverages state-of-the-art image diffusion technology to generate realistic images from text descriptions.</li><li><b>Visual Identity Customization:</b> Automatically applies style-specific adjustments to elements like lighting, contrast, and color, ensuring alignment with your brand’s visual identity.</li><li><b>Brand Asset Integration:</b> Incorporates brand-specific assets (e.g., logos, product images, or brand ambassador photos) into generated visuals.</li><li><b>Multi-Language Support:</b> Automatically translates prompts entered in languages other than English, ensuring seamless functionality across multiple languages.</li><li><b>Image-to-Image Functionality:</b> In addition to generating images from text, the model can modify elements within existing images—such as adding, removing, or changing accessories, clothing, hairstyles, etc.—based on user prompts.</li><li><b>Fast Processing:</b> Includes a custom request handler with asynchronous processing to efficiently manage simultaneous tasks from multiple users.</li><li><b>Background Editing:</b> Designed specifically for banner creation, the model can automatically change or remove image backgrounds when a specific trigger word is added to the prompt.</li></ul><h2>Banner Optimization Model</h2><ul><li><b>Accurate Performance Prediction:</b> Predicts banner performance across different audience segments with approximately 72% accuracy based on historical data from various digital channels.</li><li><b>Design Optimization:</b> Uses performance predictions to refine visual designs, maximizing key metrics such as click-through rate (CTR), conversion rate (CVR), and cost per action (CPA), powered by a custom multimodal LLM.</li><li><b>Cost-Effective Deployment:</b> Operates efficiently on standard CPU hardware, simplifying deployment and reducing operational costs.</li></ul><h2>Implementation</h2><img src=/content/images/image_e04b1594bbb6930f7f242f204ee42e50.png>

Recursive AI for Ad Banner Generation

A custom-built Large Language Model (LLM) with math-optimized OCR capabilities to analyze and automatically score handwritten calculations. 

<p>Education systems in many countries still rely heavily on paper-based homework and tests, especially in elementary and middle schools. Grading these materials manually is time-consuming and adds to teachers' already heavy workloads. Digitalizing and automating grading is key to improving efficiency and enhancing the quality of education.</p><p>Recursive developed an advanced AI Grading Assistant that automatically evaluates elementary school students’ handwritten math answers. The assistant supports core mathematical functions, including addition, subtraction, multiplication, and division with both whole numbers and decimals, as well as linear (horizontal) and column (vertical) calculations.</p><p>Using this tool, students can upload photos of handwritten homework and tests through a user-friendly web app accessible on PCs, tablets, and smartphones. The assistant intelligently interprets the handwritten input, converting it into a machine-readable format for analysis, computes correct solutions, and provides instant score results.</p><h2>Highlights</h2><ul><li><b>High Accuracy Results</b>: Recursive’s engineering team collected and labeled the vast amount of handwritten math answers to train the model. This extensive dataset significantly enhanced its performance, resulting in an average accuracy of 85%.</li><li><b>Support for Complex Math Problems:</b> In addition to whole numbers and linear (horizontal) calculations, the assistant supports decimals and column (vertical) calculations, which have traditionally been challenging for AI due to technical limitations. Recursive also explores expansion to middle school-level problems, including equations and geometry.</li><li><b>Automated Grading in Just 10 Seconds</b>: The assistant automatically evaluates answers in under 10 seconds, saving teachers time and allowing them to focus on lesson planning and personalized teaching activities.</li><li><b>Compliance with Educational Standards</b>: The assistant can be fine-tuned to follow specific scoring guidelines, such as those set by government education ministries. It ensures that answers meet required formats, aligning with standardized grading criteria.</li><li><b>Secure & Privacy-Focused Infrastructure:</b> The assistant operates fully on Recursive’s secure GPU infrastructure, ensuring that data remains secure and fully controlled by the client.</li><li><b>Web-Based Application for Easy Access:</b> Teachers can access evaluation results via a web-based platform compatible with PCs, tablets, and smartphones. This allows for efficient student performance tracking and streamlined grading management.</li></ul><h2>Implementation</h2><img src=/content/images/image_60ced158069984ab80d66d2cf661f7ea.png><ul><li><b>Data sources:</b></li></ul><p>The main dataset includes a vast amount of handwritten math answers, covering a variety of handwriting styles, problem types, and answer formats. This diversity helps ensure the model’s robustness and generalizability.</p><ul><li><b>Data Labeling:</b></li></ul><p>The Recursive team refined the labeling process through iterative improvements and quality control measures. This significantly enhanced the model’s ability to correctly identify and annotate key areas within the handwritten answers.</p><p>A hybrid approach, combining automated labeling with human review and corrections, ensured high-quality labeled data by eliminating errors and inconsistencies from the automated process.</p><ul><li><b>AI model:</b></li></ul><p>Recursive leverages a custom-built Large Language Model (LLM) with math-optimized OCR capabilities to process and understand handwritten math problems. This model is designed to both identify the relevant components within an image of a handwritten problem and accurately transcribe the handwritten content into a machine-readable format. </p><ul><li><b>Result Evaluation:</b></li></ul><p>The LLM model outputs a string representing the transcribed answer. This string is then systematically evaluated using predefined rules and algorithms to determine the correctness of the answer. This evaluation process takes into account various factors, such as numerical accuracy, adherence to mathematical principles, and consistency with expected answer formats.</p><ul><li><b>Business Outputs:</b></li></ul><p>The assistant is delivered via a user-friendly web-based platform, providing teachers with easy access to student performance data and insights. By automating the grading process, Recursive AI Grading Assistant saves teachers a significant amount of time, allowing them to focus on more strategic activities such as lesson planning, personalized teaching, and student engagement.</p>

A custom-built Large Language Model (LLM) with math-optimized OCR capabilities to analyze and automatically score handwritten calculations.

Recursive AI Grading Assistant

Helps industries such as agriculture, energy, water management, and disaster preparedness optimize costs, mitigate risks, and make better decisions through accurate, high-resolution environmental predictions.

<h2>Enhance Climate Resilience with High-Resolution Forecasting</h2><p>Accurate weather forecasting is critical across industries to mitigate the growing effects of climate change. However, many existing systems lack the granularity and reliability required for local decision-making. According to the World Meteorological Organization, since 1970, weather-related disasters have caused over 2 million deaths and $3.64 trillion in economic losses globally.</p><p>Recursive AI Weather Forecasting uses cutting-edge machine learning and physics-based modeling to deliver precise, high-resolution predictions. With a <b>native resolution of 300 meters (scalable to 100 meters)</b>, it offers unparalleled accuracy for temperature, wind, and rainfall forecasts to support critical industries.</p><h2>Highlights<b> </b></h2><ul><li><b>Temperature Predictions:</b> Achieve reliable forecasts with an average error margin of ±1℃.</li></ul><p><b><i>Impact:</i></b> Enables energy providers to optimize heating and cooling systems, reducing costs and minimizing energy waste, while helping communities prepare for extreme temperatures.</p><ul><li><b>Wind Predictions:</b> Support renewable energy initiatives with precise wind forecasts.</li></ul><p><b><i>Impact:</i></b> Improves wind turbine placement and operations, stabilizing energy grids and maximizing renewable energy production efficiency.</p><ul><li><b>Rainfall Predictions:</b> Provide highly accurate rainfall forecasts with <i>a 30% lower error rate</i> compared to global standards in Japan.</li></ul><p><b><i>Impact:</i></b> Assists farmers in optimizing irrigation schedules and planting strategies, increasing crop yields and ensuring sustainable resource use.</p><ul><li><b>Flood Risk Management:</b> Deliver hyper-localized flood predictions for proactive measures.</li></ul><p><b><i>Impact:</i></b> Reduces property damage and saves lives by enhancing disaster preparedness and response, cutting potential economic losses by significant margins.</p><h2>Implementation</h2><img src=/content/images/image_12b3cc597d565ed97362e1561330efa4.png>

Recursive AI Weather Forecasting helps industries such as agriculture, energy, water management, and disaster preparedness optimize costs, mitigate risks, and make better decisions through accurate, high-resolution environmental predictions.

Recursive AI Weather Forecasting

Helps the forestry and agriculture sectors optimize plantation site selection, reduce water waste, and mitigate environmental risks like fires and floods with precise groundwater level predictions up to 7 days in advance.

<h2>Predict Groundwater Levels, Prevent Risks, Increase Yield</h2><p>Proper management of the groundwater levels in forestry and agricultural sectors are of utmost importance. If levels drop excessively, drying out can occur, turning the forests and crops into highly flammable areas prone to fires. Conversely, overly high groundwater levels can inhibit plants growth, underscoring the necessity of continually maintaining an optimal balance.</p><p>However, predicting and managing groundwater levels has traditionally depended on experienced technicians, which is time-consuming and inefficient. Conventional methods require manual surveying and the creation of topographic & contour maps as detailed as 50 centimeters, which typically takes up to 5 years. </p><p>Recursive AI for Groundwater Management addresses these challenges by combining machine learning and physics-based modeling to deliver highly accurate groundwater level predictions. Using over <b>10 years of data</b>, including topography, rainfall, and waterway details, the system provides actionable insights to optimize plantation site selection, improve irrigation scheduling, and reduce environmental risks like fires and floods.</p><h2>Highlights</h2><ul><li><b>Accurate Groundwater Predictions</b>: Forecast groundwater levels up to 7 days in advance, using topographic data, precipitation statistics, and real-time measurements to enable proactive decision-making.</li><li><b>Flood Prevention and Fire Risk Mitigation</b>: Receive early warnings when groundwater levels approach critical thresholds, helping stakeholders take timely action to prevent floods or fires.</li><li><b>Improved Water Management</b>: Plan irrigation, channel operations, and dam placements with data-driven insights to balance water availability and ensure sustainable usage.</li><li><b>Customizable and Scalable</b>: Adaptable to diverse industries and regions, the solution supports use cases in forestry, agriculture, and environmental conservation.</li></ul><h2>Implementation</h2><img src=/content/images/image_83af53e3286cd5d8756d2d284ab88a94.png>

Recursive AI for Groundwater Management helps the forestry and agriculture sectors optimize plantation site selection, reduce water waste, and mitigate environmental risks like fires and floods with precise groundwater level predictions up to 7 days in advance.

Recursive AI for Groundwater Management

Recursive AI Customer Support Agent provides 24/7 real-time, multilingual responses, reducing support staff workload and improving customer experience.

<h2>Improve Customer Experience, Reduce Operational Costs</h2><p>For companies managing a diverse range of products and services, providing round-the-clock, multilingual support can be both costly and challenging. At the same time, <i>73% of consumers say they would switch to a competitor after multiple poor customer service experiences.</i></p><p>Recursive AI Customer Support Agent, powered by advanced large language models, consolidates data from your support documentation and customer queries to deliver accurate answers in real-time.</p><p>Highly customizable and supported by a dedicated tech team, Recursive AI Customer Support Agent can be seamlessly integrated into your existing support infrastructure.</p><h2>Highlights</h2><ul><li><b>Multilingual Real-Time Support:</b> Delivers accurate responses in both Japanese and English within <i>3 seconds</i>, ensuring consistent and reliable support across languages.</li><li><b>Chatbot Deployment:</b> Easily integrated as a user-friendly chatbot on your website, enhancing customer interaction and support availability.</li><li><b>Voice and Text Integration:</b> Supports both text and voice commands, providing answers alongside references to relevant support pages for enhanced accessibility.</li><li><b>Personalized Support Interactions:</b> Analyzes previous interactions and relevant data to create comprehensive customer profiles, enabling personalized and effective support.</li><li><b>Self-Learning System:</b> Learns autonomously from your existing documentation, eliminating the need for manual updates and ensuring up-to-date, accurate responses.</li></ul><h2>Implementation</h2><img src=/content/images/image_c3946a7e22959c440c07125f5235de02.png>

Recursive AI Customer Support Agent

Boost campaign ROI and lead conversion rates by up to 60% through automated marketing tasks. 

<h2>Generate More Qualified Leads, Faster</h2><p>As a marketing manager, meeting monthly qualified lead quotas and proving the ROI of marketing campaigns can be challenging, especially with limited time and resources.</p><p>Recursive AI Marketing Agent, powered by advanced natural language processing, consolidates data from your CRM, internal documents, and external sources (e.g., advertising campaign reports) to help you better understand your audience, create on-brand content, and analyze campaign results. </p><p>Highly customizable and backed by a dedicated tech team, Recursive AI Marketing Agent adapts to your unique business needs.</p><h2>Highlights</h2><ul><li><b>Data Analysis:</b> Recursive AI Marketing Agent simplifies CRM data analysis, enabling your team to quickly build customer personas and segment leads for targeted marketing campaigns. </li><li><b>Content Creation:</b> Recursive AI Marketing Agent learns from your previous materials, generating high-quality content that mirrors your brand’s tone and style. It also supports multilingual content creation, reducing translation costs.</li><li><b>Report Generation:</b> Recursive AI Marketing Agent generates data-rich marketing reports in seconds, highlighting key trends and audience insights for better decision-making.</li></ul><h2>Implementation</h2><img src=/content/images/image_d88e7876778072948d788b2a20e1ce5a.png>

Recursive AI Marketing Agent helps marketing teams generate more qualified leads by automating key tasks like data analysis, content creation, and report generation.

Recursive AI Marketing Agent

Boost HR productivity by cutting time spent on support tasks by 50%. 

<h2>Support Your Employees for Better Performance</h2><p>As an HR manager, keeping up with constant legal updates while addressing repetitive employee questions can be time-consuming, pulling attention away from strategic initiatives.</p><p>Recursive AI HR Agent, powered by advanced natural language processing, consolidates data from your HRM system, internal documents, and external sources (e.g., regulatory changes, court decisions) to provide instant answers to employee questions, summarize lengthy legal documents, draft contracts and guidelines, and more.</p><p>Highly customizable and supported by a dedicated tech team, Recursive AI HR Agent is designed to meet your organization’s unique needs.</p><h2>Highlights</h2><ul><li><b>Document Review:</b> Recursive AI HR Agent streamlines document review by summarizing contracts, regulatory updates, and compliance reports. It highlights key changes and compliance requirements, providing quick insights to save time and improve accuracy.</li><li><b>Compliance Management:</b> Draft contracts, guidelines, and updates to your Rules of Employment in seconds based on the latest legal updates, saving time and reducing reliance on outsourced legal support.</li><li><b>Answering Employee Questions:</b> Empower employees with self-service access to information on leave balances, policies, and benefits. Recursive AI HR Agent integrates directly with your HRM system to provide up-to-date answers, allowing HR teams to focus on strategic priorities.</li><li><b>HR Chatbot:</b> Integrated directly into your internal communication platforms (e.g., Slack or Teams), Recursive AI HR Agent delivers instant answers to employee queries. It provides seamless access to company resources and is highly customizable to fit your organization’s preferred tools.</li></ul><h2>Implementation</h2><img src=/content/images/image_8783e5e7df30d54b218adf1a52f8ae15.png>

Recursive AI HR Agent helps HR teams save time and enhance employee satisfaction by automating repetitive tasks like document review, compliance management, and answering routine employee questions.

Recursive AI HR Agent

Increase sales funnel conversion rates by up to 30% to drive more revenue.

<h2>Close More Deals, Faster</h2><p>As a sales manager, juggling hundreds of sales engagements every day leaves you with limited time to focus on each prospect. This not only reduces the chance of converting leads into clients but also impacts your bottom line. </p><p>Recursive AI Sales Agent, powered by advanced natural language processing, consolidates data from your CRM, internal documents, and optional external sources to deliver instant answers, generate summaries, draft follow-up emails, and more—helping you focus on closing deals faster.</p><p>Highly customizable and supported by a dedicated tech team, Recursive AI Sales Agent adapts to your unique business needs. </p><h2>Highlights</h2><ul><li><b>Meeting Preparation Simplified:</b> Recursive AI Sales Agent consolidates CRM data, emails, and past meeting summaries into a single, structured agenda, giving sales teams a comprehensive account overview and saving valuable preparation time. </li><li><b>Real-Time Answers:</b> The agent retrieves contract terms, deadlines, or other essential details instantly during meetings or calls. It provides direct links to original documents, ensuring accuracy and enabling faster, confident decision-making.</li><li><b>Document Analysis:</b> Recursive AI Sales Agent generates concise summaries of lengthy contracts and highlights key differences in multiple versions, minimizing manual review efforts while improving accuracy.</li><li><b>Follow-Up Email Drafting:</b> By analyzing meeting transcripts or notes, Recursive AI Sales Agent drafts clear and concise follow-up emails, maintaining your unique writing style. </li></ul><h2>Implementation</h2><img src=/content/images/image_fd4e25e6fc3e430ecf3d4660f9d6fa52.png>

Recursive AI Sales Agent helps sales teams save 20+ hours a month and convert more leads into customers by automating repetitive and time-consuming tasks. 

Recursive AI for Solar Energy Management

Maximize Returns, Reduce Investment Risks

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Recursive AI Weather Forecasting

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