AI for Finance
Improve your financial performance
Financial AI and risk platforms structured around four core financial pillars, combining pre-built solutions and advanced financial modeling systems. Our expertise covers balance sheet management, credit & counterparty intelligence, portfolio optimization and extra-financial risk intelligence. Our expertise combines quantitative modeling, regulatory alignment and industrial-grade deployment to support financial institutions in complex, regulated environments.
Balance sheet management
OptiALM
Goals
Assess
Evaluate asset-liability mismatches, interest rate risk and liquidity exposures across the balance sheet.
Align
Support capital adequacy, funding strategy and balance sheet alignment through asset-liability matching and scenario analysis.
Stabilize
Strengthen risk mitigation, liquidity management and long-term financial stability in regulated environments.
Benefits
Balance sheet stability
Enhances capital adequacy, liquidity management and interest rate risk control to protect financial resilience.
Strategic decision support
Provides stress testing, scenario analysis and balance sheet insights to guide funding and profitability decisions.
Accelerated risk processing
High-performance calculation engine for faster simulations, real-time monitoring and team collaboration.
Credit and market risk analysis
CAT – Credit analysis tool
Advanced credit portfolio analysis and optimization platform. CAT enables financial institutions to measure, simulate and optimize credit risk across diversified and non-diversified portfolios.
Goals
Measure credit risk
Calculate diversified and non-diversified VaR at different portfolio levels.
Optimize credit portfolios
Improve portfolio allocation to minimize risk and maximize economic benefit under capital and regulatory constraints.
Compare portfolios easily
Clearly compare the optimized portfolio with the original one.
Benefits
High computational speed
Uses GPU technology to deliver fast calculations.
Regulatory approved
Suitable for regulatory usage.
Compatible with rating models
Integrates with external rating systems (Fitch, S&P, etc.).
IMA – Impact market analysis
IMA is a risk modelling solution designed to simulate future market scenarios and quantify potential losses under multiple economic conditions. It uses optimized Monte Carlo simulations with advanced variance reduction techniques and parallel computing to deliver fast and precise risk measures, including VaR and Expected Shortfall.
Goals
Simulate market scenarios
Run large-scale Monte Carlo simulations across multiple risk factors.
Compute risk measures
Calculate VaR, Expected Shortfall and other risk metrics with high precision.
Support regulatory risk management
Provide risk metrics suitable for internal and regulatory use.
Benefits
Very fast simulations
Fastest Monte Carlo simulation available on the market (variance reduction and optimal parallelization) – 1000,000 years on 56 dimensions in 10
Enhanced strategic decision-making
Provide clear reporting for stakeholders and enable proactive risk management, strengthening the company’s resilience to crises and improving transparency.
Improved regulatory compliance
Facilitate compliance with regulatory requirements (Pillar II and IMA) and optimal capital management.
Portfolio optimization
Portfolio Optimization
Solution dedicated to portfolio optimization combining different models from financial mathematics (Black-Litterman, etc.) and AI (DL, DRL, etc.)
Goals
Calibrate
Obtain a calibration using a Black-Litterman model whose hyper-parameterization has benefited from the validation of the latter.
Optimize
Optimize investment processes from client portfolios to investment or pension funds.
Trade-off
Making a Trade-Off on the Allocation of Competing Funds.
Benefits
Performance
Best possible results by combining models and avoiding dogmatic approaches.
Precision
Accurate results through reconstruction of incomplete time series by interpolation and/or extrapolation of missing values.
Flexibility
Adaptable and deployed on any infrastructure.
Extra financial risk intelligence
OpData
OpData is an operational risk management solution designed to organize risk information and strengthen internal controls. It supports analytical, corrective and preventive controls to reduce exposure, costs and operational losses. By improving process visibility and risk mapping, it helps teams make better decisions and manage risk more effectively.
Goals
Control
Apply analytical, corrective and preventive controls to manage operational risk.
Reduce
Lower risk levels, costs and operational losses through better monitoring.
Structure
Clearly compare the optimized portfolio with the original one.
Benefits
High computational speed
Uses GPU technology to deliver fast calculations.
Regulatory approved
Suitable for regulatory usage.
Compatible with rating models
Integrates with external rating systems (Fitch, S&P, etc.).
OpVision
OpVision is an operational risk modeling solution designed to monitor the evolution of a company’s risk profile through economic capital analysis. It supports multiple statistical distributions and capital calculation methods, including AMA. The platform calculates Expected Loss, Capital at Risk and related metrics, while generating exportable reports for governance and regulatory needs.
Goals
Measure
Calculate economic capital using AMA and other modeling approaches, including Expected Loss (EL), Capital at Risk (CaR) and Operational VaR.
Analyze
Assess risk exposure using statistical distribution models and capital indicators.
Report
Generate exportable results to support internal governance and regulatory reporting.
Benefits
Clearer capital view
Better visibility on operational risk exposure and how economic capital evolves over time.
Stronger risk models
Supports multiple statistical distributions and capital calculation approaches (including AMA).
Easy reporting
Exports analysis results to support governance and reporting needs.
Gabriel
Gabriel is an autonomous deep research system built to bring structure, verification and consistency to complex research workflows. Gabriel organizes data from multiple sources into clear analytical frameworks. It manages research workflows through decomposition, source validation and controlled synthesis to produce reliable outputs. Designed for regulated and mission-critical environments, it ensures traceability, auditability and controlled deployment.
Goals
Structure
Organize multi-source information into consistent analytical frameworks.
Synthesize
Coordinate decomposition and validation to generate reliable outputs.
Govern
Ensure traceability, auditability and enterprise-grade control in complex research environments.
Benefits
Accelerated research cycles
Reduces research cycle time and enables faster synthesis of complex, multi-source information.
Increased analytical capacity
Increases document processing and analysis compared to manual workflows.
Higher-value expert focus
Frees analyst time from low-value research tasks for strategic reasoning and judgment.
ESG Scoring and crosswashing
An ESG scoring solution developed in line with our expertise, accurately indicating an entity’s positioning in the E, S and G pillars, as well as the positioning of its competitors.
Goals
Generate
Generate an ESG score reflecting the commitments/initiatives of a particular company or customer portfolio.
Identify
Identify discrepancies between customer perception and the company’s corporate communications to avoid the risk of crosswashing.
Tailor
Tailor your asset portfolio to your sustainable finance strategy.
Benefits
Investor gains
Investors benefit from a transparent scoring methodology and a full-access to relevant information sources.
End-To-End vision
Various levels of granularity for a complete understanding of the factors influencing the score.
Decision-Support tool
Identification of areas contributing to a high score and those requiring mitigation measures.
ESG – Valorisation of risks associated to climate change
An ESG scoring solution developed in line with our expertise, accurately indicating an entity’s positioning in the E, S and G pillars, as well as the positioning of its competitors.
Goals
Quantify
Quantify physical and transition risks of an asset portfolio based on pre-defined scenarios and their associated impacts.
Integrate
Integrate climate risks into portfolio financial performance assessment.
Monitor
Monitor the performance and content of the asset portfolio at medium & long terms.
Benefits
Maximum profitability
Better management of risk and uncertainty by integrating exceptional and recurring physical risks.
Risk migration
Various levels of granularity for a complete understanding of the factors influencing the score.
Sustainable objectives
Evaluate the costs of transition to achieve a pre-defined sustainable strategy.
