Valuation and Risk Analytics, Enhanced by AI
AI-driven analytics for institutional investment and treasury teams.
Valuation and Risk Analytics, Enhanced by AI
AI-driven analytics for institutional investment and treasury teams.
About Us
Quant Shastra is an institutional analytics platform combining financial modelling, AI, and automation to improve valuation speed, risk visibility, and decision support.
We help teams move beyond spreadsheet-heavy workflows toward scalable, explainable, and operationally reliable analytics.
What We Do
Valuation Analytics
Structured valuation workflows for fixed income, derivatives, and other complex instruments.
Risk Intelligence
Anomaly detection, scenario analysis, stress testing, and risk monitoring for institutional portfolios.
Portfolio Intelligence
AI-powered portfolio analysis and suggestion generation for faster, more actionable insight.
News and Document Intelligence
RAG-based news monitoring and AI-assisted analysis of term sheets and financial documents.
Curve and Market Analytics
Yield curve modelling, pricing analytics, and adaptive market intelligence.
Automated Reporting
Decision-ready dashboards and reports for investment, risk, treasury, and management teams.
Why It Matters
For Investment Teams
Faster insight into portfolio behaviour, pricing, and scenario impact.
For Risk Teams
Clearer surveillance, reviewable workflows, and stronger analytical visibility.
For Finance Leaders
Greater consistency, traceability, and reporting discipline.
For Technology Teams
A modular analytics platform built for scale, integration, and control.
Our Foundation
Quant Shastra was founded by finance professionals with experience across NSE, Goldman Sachs, CRISIL, JP Morgan, Credit Suisse, Nomura, UBS, and BNY Mellon.
Our approach is shaped by institutional experience in valuation, yield curve modelling, structured products, and workflow automation.
Technology and Infrastructure
Quant Shastra is supported by a cloud-native architecture built for secure data workflows, scalable analytics, AI execution, and reporting.
Core capabilities include:
Data pipelines | Valuation engines | AI workflows | Document and news intelligence | API delivery | Monitoring and observability
Bring AI-powered clarity to valuation and risk workflows
Quant Shastra helps institutional teams turn fragmented processes into structured, decision-ready analytics.