SavaNet

Over 10,000 Financial Models. History and Estimates. Clean. Normalized. In Excel too. Saving you hours every day.

General Information
Company Name
SavaNet
Founded Year
2003
Location (Offices)
New York, United States +1
Founders / Decision Makers
Number of Employees
9
Industries
Analytics, Finance
Funding Stage
-
Social Media

SavaNet - Company Profile

SavaNet is a company founded in 2003 that provides a comprehensive suite of financial modeling and analytics solutions for the investment industry. Their offerings include hyper-detailed company consensus models with three years of full financial statement forecasts for every company in every MSCI index globally, as well as a complete cloud-based model management and analytics database solution that can import and losslessly standardize models and estimates from any source. Additionally, they offer a web application similar to FactSet and Bloomberg , but it is model-based with advanced equity analytics, and an Excel-based solution for analyzing and comparing full company models. Moreover, SavaNet provides the most detailed and accurate quantamental data feeds in the market with over 500 periodic analytics and 60 rolling daily valuation series.

The company caters to a diverse clientele, including global fundamental mutual funds, quant hedge funds, "pod" hedge funds, sell-side research brokers, and bulge bracket M&A departments. With over 20 years of experience, SavaNet is positioned as the ultimate source for all financial modeling solutions, offering daily and historical point-in-time models for 10,000 companies globally using their proprietary 5-level 4,000 line item universal taxonomy.

SavaNet operates primarily in the United States and is focused on the Analytics and Finance industries. Despite their significant impact on the investment sector, there is no public record of their last investment or the participating investors.

Taxonomy: Financial Modeling, Analytics Solutions, Equity Research, Quantitative Research, Finance Technology, Consensus Estimates, Cloud-based Solutions, Investment Industry, Taxonomy, Data Feeds, Research Management Systems, Financial Analysis, Valuation Models

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