Scalata Models and Functions

**Overview**
Generative AI Framework for Financial and Credit Markets

**Use cases**
Generative AI Data Control

Unify and operationalize your internal data, from loan data to models' inputs, within a secure AI ecosystem.
Normalize disparate sources for fast decision cycles
Apply domain-specific models without writing custom code
Visualize impacts across risk and business metrics

Accelerate Deal Origination

Automated Data Capture and Standardization & Al-Driven Deal Modeling and Analysis.

Identify and evaluate potential investment opportunities
Utilize Generative Al to extract key information from complex legal documents, accelerate due diligence, reduce manual.
Leverage Generative Al to provide investors with customized insights

Data Enrichment

Enrich datasets with scoring models, simulations using LLM agents.

Automated Shadow NAV Calculation
Real-Time Performance Dashboards
AI-Powered Default and Delay Prediction
AI-Driven Investment Recommendations
Portfolio Optimization

**Product details**
Empowering Credit Professionals with Agents AI-Driven Insights

Data in We build a Data Marketplace seamlessly automating traditionally manual, labor-intensive data processes, turning complex, unstructured data into clean, actionable information using Agents & Models.
Powered by Databricks Delta Lake, Auto Loader, and Structured Streaming for ingesting, cleaning, and unifying massive data volumes. AI Models built of Metadata and normalization with Multi-model eng.
Data On Through conversational AI Agents, users can input complex calculations or financial assumptions via AI Agents orchestrated chatbots, offering real-time adjustments and scenario modeling. 
Integrated with Databricks SQL and Unity Catalog for secure, governed access to analytics-ready data and metadata across the organization. Backed by Databricks Lakehouse AI for real-time embedding, prompt chaining, and retrieval-augmented generation (RAG) capabilities.
Data Out AI Agents generation reports, dashboards, and widgets, transforming analytical outputs into digestible, shareable insights. 
Leveraging Databricks Notebooks, MLflow, and Dashboard APIs for custom analytics delivery, model versioning, and visualization with enterprise-grade governance.

**Additional Insights**
This industry-leading integration connects Databricks' powerful Generative AI Lakehouse Platform with Scalata's intelligent automation and Generative AI framework, creating an end-to-end workflow from data ingestion and complex analysis to actionable insights and decision execution. Designed with enterprise-grade security and compliance for banks, asset managers, credit funds, and financial institutions.

In a Generative AI revolution Financial Institutions need more than just models. They need resilient systems that can grow with them without losing oversight on cost and legacy.

AI Agents Driven Workflow Integration - end-to-end solution that connects every stage of the financial process: Data Ingestion & Transformation:
Generative AI for Decision Support - Perform real-time calculations and scenario modeling without coding. Generate polished outputs like dashboards, reports, and widgets for actionable insights.
Scalable Automation & Governance - Ensures enterprise-grade security, compliance, and audit trails across Data and Agents and Models.
Enhanced Collaboration - bridges silos between IT, data, and investment teams, fostering cross-functional collaboration with shared workflows and seamless integration with external systems.