Fina Technologies
Cambridge
About Fina Technologies
Fina Technologies applies highly parallel supercomputing technology combined with cutting edge machine learning techniques to create quantitative trading algorithms and deliver business solutions for a new class of massively data intensive problems. Fina Technologies, Inc. is a spinoff of Gene Network Sciences (GNS) focused on applying the REFSTM platform and other machine-learning tools to large-data problems in the worlds of finance, insurance, e-commerce, government, and other non-biomedical areas. Fina Technologies applies massively parallel supercomputing technology combined with cutting edge machine learning techniques to create quantitative trading algorithms and deliver business solutions for a new class of massively data intensive applications. In the field of quantitative trading Fina Technologies partners with sophisticated trading houses and funds to employ robust modeling framework to a variety of trading algorithms from straightforward time series prediction to value estimation and factor models. They claim to achieve strong out-of-sample predictive power by using a data agnostic platform that is robust to the over-fitting problem that plagues most automated techniques.
Company Facts
- Operating status: Active
- Company type: For Profit
- IPO status: Private
- Employees: 1 – 10
- Estimated revenue: $500K – $1M
- Total funding: $4.5M
- Funding stage: Early Stage Venture
- Last round: Series A (Dec 2009)
- Website: finatechnologies.com
- Phone: (617) 494-0492
Industries & Categories
Analytics, Machine Learning, Software
Social Profiles
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