MatLogica | AADC for Quantitative Finance

AADC for Quantitative Finance

Transform Your Quant Finance Technology Stack

Discover which implementation route is right for you: modernize legacy systems, build new capabilities faster, or supercharge open-source frameworks. Choose your path to success with AADC.

MatLogica Accelerates Every Role in Quantitative Finance

Whether you're a trader needing real-time Greeks, a risk manager handling regulatory compliance, or a quant developer building new models—AADC transforms your workflow with 6-1000x speedups, automatic differentiation, and cloud-native deployment.

💹

Front Office

Traders, Sales, Structurers, Quants
🛡️

Risk Management

Risk Managers, Validators, Compliance
⚙️

IT / Infrastructure

Developers, Architects, DevOps

Discover solutions tailored to your role and the best implementation route for your situation

Choose Your Implementation Path

Three proven routes to take advantage of AADC

🔄

Legacy Optimization

Modernize existing code without rewriting

  • Code runs but too slow
  • Can't afford full rewrite
  • Risk of breaking models
  • Limited developer resources
THAT'S ME
🚀

Greenfield Build

Develop custom capabilities 5x faster

  • High vendor licensing costs
  • Slow custom development
  • Need proprietary models
  • Time-to-market pressure
THAT'S ME
⚡

Accelerate Open-Source

Supercharge QuantLib/ORE by 6-100x

  • Open-source too slow
  • Need regulatory acceptance
  • Want proven algorithms
  • Competitive disadvantage
THAT'S ME

No, I just want to save on cloud

See Cloud Cost Optimization →

No, I just want fast Python

nav-tech-python-accelerator

Four Routes to Success

Detailed implementation paths—choose the one that matches your situation

ROUTE 1

Legacy Optimization

Integrate AADC to modernize existing analytical systems—minimal code changes, preserve institutional knowledge, achieve modern performance

👥 Perfect For:
  • Banks with legacy risk systems (10-20 year old code)
  • Organizations using QuantLib/ORE that need more speed
  • Firms with proprietary C++/Python analytics code
  • Teams facing regulatory compliance pressure (FRTB, SA-CCR)
  • Systems that work correctly but are too slow
  • Mission-critical applications that cannot be rewritten
Performance Impact:
  • 6-100x speedup
  • Less than 1% code changes
  • Greeks faster than original pricing
  • 50%+ cloud cost reduction
How AADC Works
ROI:
  • 6-12 months to positive ROI
  • Infrastructure savings immediate
  • Avoided rewrite costs ($5M-20M+)
  • Preserved business continuity
Schedule Consultation
Integration Process
Three-phase process: Record computational graph once, JIT compile to optimized machine code, execute thousands of times with 6-1000x speedup.
ROUTE 2

Build New Capabilities

Use AADC to develop C++/Python models faster, without optimization concerns. Get production-grade performance and AAD automatically.

👥 Perfect For:
  • Greenfield projects and new initiatives
  • Organizations tired of vendor lock-in and escalating fees
  • Firms building proprietary trading/risk systems
  • Teams seeking full customization and control
  • Hedge funds and fintechs building competitive advantages
  • Teams that need to prototype and iterate rapidly
Development Impact:
  • 3-4x faster development
  • Production performance day one
  • Automatic AAD built-in
  • Focus on models, not optimization
ROI:
  • 12-18 months to positive ROI
  • 60-80% cost reduction vs vendors
  • Unlimited scalability
  • No per-core licensing fees
nav-tech-python-accelerator
💡 Why Organizations Choose This Route:
Break Vendor Lock-In:

Stop paying escalating license fees. Own your technology stack and roadmap. Customize without vendor limitations.

Competitive Advantages:

Build proprietary models and methods. Keep IP protected. Innovate faster than competitors using vendors.

ROUTE 3

Open-Source Acceleration

Integrate AADC with open-source frameworks like QuantLib/ORE to get community validation plus proprietary performance

👥 Perfect For:
  • Organizations wanting to retire expensive vendor solutions
  • Teams seeking rapid deployment using proven algorithms
  • Firms needing regulatory compliance with accepted models
  • Organizations seeking cost-effective, maintainable solutions
  • New quant teams building capabilities from scratch
  • Anyone valuing community validation and peer review
Performance Impact:
  • 6-100x faster QuantLib/ORE
  • Automatic AAD for all models
  • Production-grade performance
  • No traditional performance tradeoffs
ROI:
  • Immediate cost benefits
  • No vendor licensing fees
  • Lower maintenance costs
  • Community support included

First Production ORE Deployment: 245x Faster

Business Impact
  • Validates open-source approach viability
  • Vendor-class performance achieved
  • Enables broader community adoption
Technical Findings
  • 245x faster than vanilla ORE
  • 1M trades priced in 0.4 seconds
  • Complete delta risk in <1 second
  • One-time recording: 350 seconds (pre-market)
Learn How
ROUTE 4

Cloud Cost Optimization

Slash cloud infrastructure costs by 50-99% while maintaining or improving performance. AADC's 6-1000x efficiency improvement transforms cloud economics with secure binary kernel deployment.

👥 Perfect For:
  • Organizations with high cloud compute costs (>$500K/year)
  • Teams running Monte Carlo simulations or scenario analysis in cloud
  • Firms seeking immediate cost reduction without sacrificing performance
  • CTOs and CFOs under pressure to optimize cloud spending
  • Applications with elastic scaling needs (spiky workloads)
  • Teams wanting secure hybrid on-prem/cloud architecture
Performance Impact:
  • 50-99% cost reduction
  • 6-1000x efficiency improvement
  • Immediate infrastructure savings
  • Visible in next cloud invoice
ROI:
  • 2-4 months to positive ROI
  • Infrastructure savings immediate
  • ~$100K saved per $1M cloud spend
  • Can afford more scenarios same budget
Cloud Native Execution
💡 Combine Cloud Optimization with Other Paths:
Have Legacy Code?
Building New?
Using QuantLib/ORE?

Cloud optimization works with any implementation path! Most clients combine cloud savings with another route for maximum ROI.

Explore More Details

Case studies demonstrating value across applications
View Case Studies
Cloud Native Execution
Business Impact
  • Cost savings of 50%+ on infrastructure
  • Avoid $5-20M rewrite projects
  • Enable new revenue from real-time capabilities
  • 20x ROI by year 2 typical
Explore Cloud Modernization
Python Accelerator
Business Impact
  • Makes Python production-ready for Live Risk
  • Eliminates Python-to-C++ rewrite cycle
  • Enables Python-first development strategy
  • Performance exceeds hand-optimized C++
Python Accelerator
Integration Process
View Technical Details
Quant Finance Solutions
AADC for Quants

Ready to Get Started?

Schedule a consultation to discuss which path is right for your organization

Schedule Consultation