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How Multimodal AI Agents work
Our AI Agents are a series of large language models that learn, think, and act with different built-in capabilities. We fine-tune these AI Agents on your company data and deploy them as APIs.
Document AI
Trained on your schema to extract, label, and organize data from structured and unstructured documents.
Decision AI
Ingests your internal manuals and guidelines, providing accurate data-driven decision recommendations for complex workflows.
Database AI
Access company databases to answer queries, interpret datasets, and provide actionable insights.
Conversational AI
Your in-house chatbot that accesses unstructured internal data to provide customer and employee support.
Content AI
Generates reports, policies, messages, and other documents in your company’s unique style while staying compliant with regulations.
Multimodal AI Agents automate finance tasks with precision
Data collection and analysis
80%
Faster data collection
and analysis
and analysis
90%
Accuracy in data analysis
Automated data extraction: Extract data from unstructured sources like financial statements, news articles, and market data for faster analysis.
Advanced data analysis: Perform advanced data analysis, including financial ratio analysis, credit risk modeling, and scenario analysis.
Real-time data monitoring: Monitor market data and economic indicators in real-time, identifying factors that may impact creditworthiness.
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Rating dissemination
80%
reduction in rating
dissemination time
dissemination time
95%
accuracy in rating delivery
Automated rating: Generate clear and concise credit memos/rating reports and deliver ratings to investors, analysts, and other stakeholders.
Real-time rating updates: Enable real-time updates to credit ratings, ensuring that investors have access to the most current information.
Personalized rating delivery: Offer personalized rating delivery options, allowing investors to customize the frequency and format of rating updates.
Sentiment analysis
80%
Faster sentiment analysis
95%
accuracy in sentiment analysis
Automated sentiment analysis: Analyze sentiment in news articles, social media posts, and other text-based sources to identify trends and patterns.
Real-time sentiment monitoring: Monitor social media and news sentiment in real-time, identifying factors that may impact creditworthiness.
Sentiment-based ratings adjustment: Adjust credit ratings based on changes in sentiment, taking into account the impact of public opinion on creditworthiness.
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Continuous model monitoring
90%
accuracy in model performance evaluation
20%
improvement in model accuracy
Model performance evaluation: Continuously evaluate the performance of credit rating models, ensuring that they remain accurate and relevant.
Model drift detection: Detect model drift, residuals, and anomalies, identifying changes in the underlying data that may impact model performance.
Model retraining: Automate the retraining of credit rating models as needed to maintain accuracy and relevance.
Why credit rating agencies love Multimodal
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Transparent & explainable
Our AI Agents are explainable, helping you track decisions and stay compliant with banking regulations.
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Integration & flexibility
We provide end-to-end integration with legacy systems and existing workbenches. Our AI Agents also learn and improve continuously.
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Tailored automation
Our AI Agents are trained on your company data, increasing accuracy, customer satisfaction, and specific risk identification.
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See automated underwriting in action
See how our AI Agents work live before you commit. Schedule a free, 30-minute demo today.
See how AI Agents work in real time
Learn how to apply them to your business
Discuss pricing & project roadmap
Get answers to all your questions
Customer stories
