AI-Accelerated Quant Models: real-time speed with uncompromised accuracy.
Models that previously required Monte Carlo, optimisation or complex numerical routines can be distilled into fast neural systems that run in your browser or through a lightweight API.
Modern quantitative models are accurate but often slow to run or difficult to deploy.
Real-time pricing, scenario analysis and interactive decision tools require a different approach. By combining mathematical model design, scalable dataset generation and targeted neural model training, we turn advanced quant models into tools that respond instantly and integrate cleanly with your existing systems.
Live Demo: Real-Time Volatility Surface
This demo shows how a full GJR-GARCH model with Skew Student-T returns can be transformed into an interactive neural model that runs entirely on the client. The sliders control the full return distribution and volatility surface in real time.
What this demonstrates
- A model that originally depended on Monte Carlo simulation is now fully interactive
- The system runs client-side without installations or data transfer
- Accuracy is sufficient for pricing, risk and research applications
How this applies to your models
- Accelerate pricing and risk engines
- Convert calibration workflows into real-time tools
- Speed up simulation-driven or reinforcement-learning models
- Deploy as an API, research tool or browser-ready component