Scalafai provides a modular, end‑to‑end platform that unifies data acquisition, research notebooks, backtesting, and deployment for quantitative finance teams. The platform offers a curated data marketplace, version‑controlled Python/R/Scala notebooks, high‑performance parallel backtesting, and one‑click pipelines to cloud or on‑premise environments, all accessible via an API‑first architecture for seamless integration and collaboration.
Funding
Funding not disclosed
Founders
Product
Problem
Quantitative analysts and data scientists often need to stitch together multiple disparate tools for data acquisition, strategy development, backtesting, and deployment, leading to integration challenges, duplicated effort, and slower research cycles.
Solution
Scalafai offers a modular, end‑to‑end platform that consolidates data pipelines, research notebooks, backtesting engines, and production deployment into a single environment. Users can access curated financial datasets, write and version‑control strategies in familiar programming languages, and run scalable backtests with built‑in performance analytics. The platform’s API‑first architecture enables seamless integration with existing workflows while providing automated workflow orchestration to move models from prototype to live trading with minimal friction. Collaborative features allow teams to share code, results, and documentation, accelerating iteration and reducing operational overhead.
Target Audience
Primary users are quantitative researchers, algorithmic traders, and data science teams at hedge funds, prop trading firms, and financial institutions seeking a unified research-to-production workflow.
Features
- Integrated data marketplace with real‑time and historical market data across multiple asset classes
- Notebook‑style research environment supporting Python, R, and Scala with version control
- High‑performance backtesting engine with parallel execution and detailed trade‑level analytics
- One‑click deployment pipelines to cloud or on‑premise execution environments
- API‑first modular architecture for custom extensions and third‑party tool integration
- Team collaboration workspace with shared repositories, commenting, and result visualizations