Evalueserve uses AI to extract, classify, standardize, and map financial data from documents including PDFs, spreadsheets, scans, images, and complex multilingual statements.

Spreadsmart supports more than 120 languages and can automatically process varied financial-statement formats while maintaining expert review for exceptions, low-confidence fields, and institution-specific mapping requirements.

Client results include 99.6% accuracy, productivity improvements of up to 70%, and automated covenant monitoring.

Evalueserve supports model risk, credit risk, operational risk, financial crime, regulatory reporting, KYC, AML, ESG, and climate-risk workflows.

Services can include model validation, documentation, testing automation, regulatory analysis, high-risk customer monitoring, issue management, reporting, and managed operations.

Domain specialists help ensure that analytics and AI systems reflect regulatory expectations, governance requirements, model limitations, and escalation processes.

Evalueserve supports investment banks and asset managers across research, financial modeling, deal analysis, pitchbook production, portfolio monitoring, quantitative workflows, index operations, private-markets research, and market intelligence.

Engagements can combine financial analysts, automation, Data and AI platforms, and managed execution to improve speed, consistency, and scalability.

For one investment manager with more than $50 billion in assets under management, Evalueserve reduced portfolio-monitoring costs by 30–40% through automation and operational redesign.

Evalueserve helps index providers and financial institutions improve index calculation, verification, quality control, data collection, exception handling, reporting, and operational scale.

The work can combine automation with specialist validation to maintain the very high accuracy levels required in index operations.

For a leading global bank, Evalueserve scaled validation to more than 6,000 indices each day across multiple asset classes.