Pricing Models
Reusable analytics for vanilla and structured products, with model inputs kept inspectable.
Pricing and risk analytics infrastructure
Kautilya
Institutional derivatives pricing, model calibration, market data, and risk infrastructure for teams that need transparent analytics across products, curves, volatility surfaces, and scenarios.
Capabilities
Built for quantitative financial engineering
Curves and Market Data
Rate curves, reference data, snapshots, and market-object loading designed for repeatable valuation.
Volatility Infrastructure
Volatility grids, calibration inputs, and scenario-ready surfaces for derivatives workflows.
Risk and Sensitivities
Greeks, scenario analysis, and explainable risk outputs for research and production use cases.
Platform Direction
From library-grade analytics to application-grade infrastructure
Kautilya is being developed as a modular pricing and risk platform with a high-performance analytics core, Python integration, web-facing services, and controlled deployment paths.
The public website is the first external surface. Interactive applications, APIs, documentation, and hosted analytics services will follow as the platform matures.
Coming Soon
Pilot access for select workflows
For early conversations, institutional use cases, or collaboration inquiries, contact the Kautilya team.