QuantModels.ai gives investment teams a disciplined platform for option valuation, stochastic volatility modeling, and portfolio risk oversight.
Control Room
Cross-asset analytics
Models
Each module is designed to be useful on its own and stronger when combined into a single operating layer.
Quant Library
Calibrate stochastic volatility surfaces with a workflow designed for institutional derivatives desks.
Quant Library
Reliable vanilla pricing, Greeks, and hedging analytics packaged in a clean execution layer.
Quant Library
Centralize exposure, stress, and liquidity diagnostics for portfolio managers and risk officers.
Pricing Library
QuantModels.ai includes a professional pricing library for teams that need market calibration, simulation, valuation, and risk metrics inside one disciplined stack.
Engine Overview
The Pricing Library pairs a Python-first API with institutional modeling workflows, making it easier to move from market inputs to calibrated models, simulated paths, option prices, and risk diagnostics without fragmenting the stack.
Closed-form analytics for vanilla options, benchmark pricing, and hedging workflows.
Stochastic-volatility pricing and calibration routines for richer surface dynamics.
Path-based simulation engines for scenario generation, exotic payoffs, and stress studies.
Delta, gamma, vega, theta, and scenario-based sensitivities for risk oversight.
Market-fit utilities to align models with observed implied volatility surfaces and term structures.
Python Preview
Heston workflow example
Workflow
Pricing
Start with a sandbox, expand into production workflows, and graduate to enterprise controls without replacing your stack.
Free
For early exploration and technical evaluation.
Professional
For independent quants and lean investment teams.
Enterprise
For regulated firms with workflow, compliance, and scale needs.
About
QuantModels.ai blends institutional-grade analytics with a product experience that is clean, fast, and governance-aware.
01
Built for asset managers, hedge funds, treasury teams, and institutional advisors.
02
Combines transparent model assumptions with a polished delivery layer for high-trust decisions.
03
Designed to move from exploratory pricing to operational risk workflows without changing tools.
Contact
Whether you are evaluating a single model or replacing a fragmented workflow, we can scope the right rollout.
General
research@quantmodels.ai
Sales
enterprise@quantmodels.ai
Coverage
New York, London, Singapore
Enterprise clients can request controlled pilots, private deployment discussions, and solution workshops for treasury, derivatives, and risk teams.