Cloud Optimisation

Cloud costs down 50 to 99%

The same workload, 6 to 1000x faster, on a fraction of the instances. Payback in 2 to 4 months.

What the bill is made of

For compute-heavy quant work the cloud bill is instance-hours, and instance-hours are run time. Cut the run time by 6 to 1000x and the bill follows.

Cloud Cost Pain Points

Sound familiar? These cloud challenges strain budgets

Cloud bills growing faster than revenue?

Monte Carlo consuming too many resources?

Scaling costs getting out of control?

Hard to justify cloud spend to CFO?

Wasted compute during off-peak hours?

Performance bottlenecks limiting throughput?

Over-provisioning to meet deadlines?

Vendor lock-in inflating instance costs?

The AADC Solution

Cloud infrastructure costs down 50 to 99%. Monte Carlo, XVA and risk jobs run 6 to 1000x faster, so they need a fraction of the current resources. No infrastructure change is needed: the same binaries run on-premises, in the cloud or across both.

50-99% Cost Reduction

From the first month

6-1000x Efficiency

Same results, fraction of compute

Source Code Stays On-Premises

Only binary kernels deployed to cloud

Any Cloud Provider

AWS, Azure, GCP, or hybrid

Perfect For:

Organisations with high cloud compute costs (>$500K/year)Teams running Monte Carlo simulations in cloudCTOs and CFOs under pressure to optimise cloud spendingApplications with elastic scaling needsHybrid cloud deployments

Key Benefits

50-99% Cost Reduction

Fewer instances, for less time

6-1000x Efficiency

Same results, fraction of the compute

Source Code Stays On-Premises

Only binary kernels deployed, not source code

2-4 Month ROI

Fast payback on investment

Proven Results

Client-Results

Tier-2 European Bank Achieves 15-20x Faster Risk with 70% Less Code

A Tier-2 European bank fixed the performance of its front-office risk infrastructure with MatLogica AADC. They achieved 15-20x speedups compared to manual adjoint differentiation, reduced overnight batch from 8+ hours to 2 hours, and eliminated 70% of their modelling codebase while unlocking new revenue streams.

›15-20x faster risk vs manual adjoints
›Overnight batch: 8+ hours to 2 hours
›70% codebase reduction
›50% grid cost savings

Read Full Case Study

Legacy Optimisation

AADC goes into the analytics you already have, with few code changes. The years of business logic in the code stay; the run time drops 6 to 100x and the Greeks come with it.

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Greenfield Development

Use AADC to develop C++/Python models faster, without optimisation concerns. Get production-grade performance and automatic AAD from day one. Focus on models, not infrastructure.

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Open-Source Acceleration

Integrate AADC with open-source frameworks like QuantLib and ORE to get community validation plus proprietary-grade performance. No vendor licensing fees, automatic AAD for all models.

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Ready to Cut Your Cloud Costs?

Calculate your potential savings and see how AADC can transform your cloud economics.

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Frequently Asked Questions

How quickly will we see cost savings?

Infrastructure savings begin immediately upon deployment. Most organisations see positive ROI within 2-4 months, with savings of $500K or more for every $1M in prior cloud spend.

How does AADC keep source code secure in the cloud?

AADC's hybrid architecture keeps source code on-premises. Only binary kernels are deployed to the cloud - source code is not included in kernels.

Which cloud providers does AADC support?

AADC works with all major cloud providers (AWS, Azure, GCP) as well as private cloud and on-premises deployments. The kernel architecture is platform-agnostic, giving you deployment flexibility.

How does AADC compare to using spot instances?

Spot instances typically save 20-40% but come with interruption risk and capacity constraints. AADC delivers 50-99% savings through efficiency gains that work alongside spot instances. You can combine both approaches for maximum savings.