MatLogica | MatLogica Services: Consulting, Training, Integration, PoC

MatLogica Services: Consulting, Training, Integration, PoC

Professional Services for AAD Implementation

Our team of experts includes quants, scientists, and software developers who can help integrate AADC into your quantitative finance systems, and offer consulting and training on automatic adjoint differentiation technology. From benchmarking to production deployment.

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MatLogica Professional Services for AAD Implementation

MatLogica offers comprehensive professional services to support organizations throughout their automatic adjoint differentiation (AAD) journey. Our team of experts includes quantitative analysts, computer scientists, and software developers with deep expertise in both AAD technology and quantitative finance applications. Services offered: (1) Benchmarking - Performance evaluation to validate MatLogica benefits for your specific domain and compare with alternative approaches, providing data-driven decision support. (2) Proof of Concept - Several weeks focused PoC on your specific use case, with free PoCs available to demonstrate production-ready feasibility. (3) Integration Consulting - Side-by-side support working directly with your developers and quants throughout the integration process, ensuring successful AADC deployment. (4) Guest Lectures - Educational presentations on HPC and AAD tailored for organizational needs, suitable for quants, developers, risk teams, and management. (5) Training Workshops - Comprehensive in-person and remote training on AAD best practices, HPC optimization, integration techniques, and performance tuning. Service journey: Organizations typically start with initial consultation and needs assessment, proceed to benchmarking or PoC for validation, participate in training workshops for team preparation, receive integration consulting and support during deployment, and benefit from ongoing support and optimization. Expert team: MatLogica professionals combine technical expertise in automatic differentiation, code generation, and high-performance computing with practical experience in quantitative finance applications including derivatives pricing, XVA calculations, risk management, and Monte Carlo simulations. Target clients: Investment banks implementing AAD for derivatives pricing, hedge funds optimizing quantitative systems, risk management departments modernizing infrastructure, financial institutions seeking performance improvements, and academic institutions researching automatic differentiation applications.

We offer a comprehensive range of professional services with our AADC products. We can guide you through the entire automatic adjoint differentiation (AAD) journey—from general introduction and training to proof of concept, integration consulting, and ongoing production support for your quantitative finance systems.

Benchmarking Services

If you're not sure MatLogica AADC benefits your particular domain area (derivatives pricing, XVA, risk calculations) or you want to compare us with another AAD approach, we are happy to help with comprehensive performance benchmarking tailored to your specific use cases.

Proof of Concept (PoC)

We can perform a Proof of Concept (PoC) focusing on your particular quantitative finance use case for several weeks. Free PoCs available to demonstrate the feasibility and performance improvements AADC can deliver for your specific derivatives pricing or risk management applications.

Integration Consulting

We will support you during the AADC integration process, working side by side with your quantitative developers and quants to ensure successful deployment into your existing derivatives pricing, risk management, or XVA calculation systems.

Guest Lectures on HPC and AAD

Our team of industry experts is happy to deliver guest lectures on High-Performance Computing (HPC) and Automatic Adjoint Differentiation (AAD), tailored for your organizational needs. Suitable for quants, developers, risk teams, and management.

AAD Training Workshops

We offer in-person and remote training workshops on best practices of Automatic Adjoint Differentiation (AAD) and High-Performance Computing (HPC) for quantitative finance applications, including derivatives pricing, Greeks calculation, and XVA computations.