Your AI solution for Quantitative Research

Orchestra

Orchestra is the pinnacle of quant research assistance, designed for quant traders and researchers navigating the complexities of quant strategies in global financial markets. Orchestra is powered by cutting-edge Large Language Models, it is not just a tool but a revolutionary force in the domain of quantitative research. It embodies a comprehensive solution for those who demand precision, innovation, and depth in their financial analytics and strategy development cycle.

Capabilities

End-to-End Strategy Building Guidance

Integrated Data Science and Visualization Suite

Quant Strategy Development by Prompting

Built-in Models

AI-Driven Factor Identification

Multi-Asset Class Backtesting

Multi-Strategy Portfolio Backtesting

Research Paper Implementation

Stress Testing

Generate synthetic data

Core Team

Partner

Rahul Ajay

Rahul Ajay is a finance expert with over five years of experience in the field. His proficiency lies in quantitative strategies for global derivatives, corporate finance, and strategy. He is a visionary who collaborates with a team of AI/ML engineers to spearhead innovation in quant research, blending advanced analytical skills with practical insights.

Partner

Abhishek Chohan

Abhishek Chohan is a proficient Machine Learning Engineer specializing in Python, Java, C++, Flask, Django, React, TensorFlow, among other technologies. Abhishek possesses in-depth knowledge in building domain-specific LLM models and generative AI. He has worked on multiple projects in the Financial, Healthcare and Energy domain.

Partner

Akshay Jha

Akshay is an experienced Enterprise Solutions Architect with over eight years of experience, specializing in AWS, cloud management, and security, with a focus on DevOps and SecOps. He significantly reduced Toyota's cloud expenditure by 95%, showcasing his expertise in cost-efficient cloud solutions.

Partner

Harshit Barot

Harshit is a Computer Science professional with a strong background in machine learning and software engineering, demonstrated through impactful roles at Arista Networks and Barclays. His work includes enhancing machine learning workflows, optimizing cloud storage solutions, and leading significant data migration projects.