ForeStrat provides a unified platform automating investment operations from data ingestion to trade execution. The platform integrates data management, including vendor onboarding and transformation, with comprehensive trade operations capabilities like IBOR and AI-driven reconciliation. This streamlined approach enables investment teams to scale portfolios efficiently while focusing on alpha generation.
Funding
Funding not disclosed
Founders
Product
Problem
Systematic investment teams require robust data pipelines to ingest, validate, and transform diverse datasets for research and portfolio management. Ensuring data reliability and integrity is challenging due to the complexity of data sources and the need for precise, timely analysis.
Solution
Forestrat provides an AI-driven data platform that enables systematic investment teams to construct and manage sophisticated data pipelines. The platform automates data ingestion, validation, transformation, and quality control processes, leveraging large language models (LLMs) to generate pipelines based on user requirements. It ensures data integrity through embedded AI agents that perform checks at every stage, producing reliable datasets for research and trading. Forestrat also facilitates data mastering and linkage, creating a unified view of diverse data sources for consistent analytics. The platform's resilience and self-healing capabilities, supported by 24x6 operational assistance, minimize downtime and maintain data infrastructure reliability.
Target Audience
The platform is designed for systematic investment teams, quantitative developers, and portfolio managers within asset management firms.
Features
- AI-driven pipeline generation using LLMs for data ingestion, validation, and transformation based on business specifications.
- Automated data quality control with AI agents embedded throughout the pipeline to ensure accuracy, completeness, and consistency.
- Flexible transformation toolkit for converting raw data into analysis-ready formats, including irregular time-series to regular time-series.
- AI-powered data mastering and linkage tools for unifying disparate datasets and resolving identifier conflicts.
- Resilient and self-healing data pipelines with AI agentic tools for automatic issue detection and resolution.
- Agentic reconciliation system for automated parsing and matching of datasets, with workflows for discrepancy resolution.
- Support for ingesting and processing structured (e.g., FIX messages) and unstructured (e.g., PDF trade confirms) trade data.
- Middle-office functionality including trade enrichment, linkage, and surveillance/compliance reporting.
- 24x6 operational support for pipeline health monitoring and rapid issue resolution.