NetworkFinancials Inc.

TROVA: High Performance Investment Research Data Platform


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NetworkFinancials is developing a smart data platform powered by artificial intelligence and machine learning designed to help private and institutional investors make better investment decisions while mitigating risk and maximizing ROI.

The NetworkFinancials platform provides an intelligent solution to behavioral-based investment decisions while saving investors hours of research by recommending sound, informed investments based on objective, statistical data analysis. 


When attempting to zero in on the right investment opportunities, one of the biggest factors that investors consider is how to minimize risk.  

Many investors typically spend significant amounts of time, energy, and money researching different companies and seeking insight via Morningstar, Bloomberg, Yahoo Finance, and other online stock analysis resources. 

The problem? Not only is this approach time-consuming, but advice can also be biased. On top of that, despite advancements in data-driven technology, existing data sources are massive and the quality of that data is not measured prior to consumption. 

While there’s no magic bullet that can absolutely guarantee a massive ROI, there are smarter ways to go about deciding what to invest in, and when to invest. 


Introducing NFselect: a cloud-based investment service enabling self-directed, active individual investors and institutional investors to spend less time and money on equity research.

NFselect is the perfect solution for investors of all levels of experience:

Individual investors who are new to investing, or not experienced in finding investments with lower risk, or who trade on their own but don’t have enough time to do research. Individual investors gain recommendations based on the data we already have access to.
 

NetworkFinancials offers Troverity and Wintrove services for institutions:

Institutional investors like wealth managers seeking insight to serve high net worth individuals with higher ROI potential, or hedge fund managers who want to create better portfolios with different risk categories. For institutional investors, our software can be overlayed on top of the data they have available to conduct additional data analysis.


NFselect uses network-optimized information aggregation and data analytics to identify a select set of companies differentiated for the highest potential ROI. Our customers then use these selection sets to make their own investment decisions.

NetworkFinancials Data Platform has the following capabilities and benefits:

Builds portfolios based on enterprise user-supplied input data


Provides detailed performance reports in a timely manner

Minimizes risk
 

Eliminates the time it takes to conduct research
 

Equips investors with better, unbiased data faster, allowing them to edge out competitors.

Simplifies the investment selection process.
 

Increases ROI probability 


Our team has already demonstrated significant traction in just a short amount of time, from validating our concept, to establishing key partnerships, to winning over our competitors’ customers, and more -- evidence of even bigger and better things to come going forward. 

A Solution That Works
NFselect service beat S&P 500 Index consistently (two times in a row) with healthy margins. 

Partnerships
We’ve secured strategic partnerships with Xplorrazi for studying global opportunities and with Emblazon for cost-effective quality control. 

Accolades
Our Founder has been recognized as one of the Top 50 Indian Entrepreneurs in the US. 

Patents & IP
One trademark/service mark is registered, two others have been approved, with one other filed and pending approval. 

Product Development
We developed our platform in just 4 months, in addition to developing NFselect service for individual investors and signed up paid customers within 3 months of operation. We developed proof-of-concept for two services (Troverity and Wintrove) targeting institutional customers. 

Validated Demand|
We’ve validated our service via individual customers and are getting new feature requests from institutional customers who wish to use our technology to better serve their own customers.

Interest Is Building
We’ve received interest from three institutional customers (wealth managers from two tier-1 investment banks, one mid-sized wealth management company), with two currently under trial.


The NetworkFinancials team is made up of passionate data scientists and customer-focused engineers with platform building experience and the skillset to solve complex problems associated with investment decision making.

Debi Prasad Sahoo | Founder & CEO | Former Senior Staff Engineer at Juniper Networks leading development of L2 technologies for its flagship MX product line. Instrumental in introducing the VxLAN feature for MX platform and improving performance and scaling for customers like AT&T. Earned Masters in Computer Science from Indian Statistical Institute and Earned Certificate of Specialization in Business Foundation with Capstone from UPenn and Machine Learning from Stanford. Former Technical Lead at Aricent (Formerly FutureSoft, acquired by Flextronics). 

Personal investment success:

  • Atheros (acquired by Qualcomm)
  • Acme Packet (acquired by Oracle)
  • Netezza (acquired by IBM)
  • Solutia (acquired by Eastman Chemicals)
  • Cytec (acquired by Solvay)

Anshul Deshkar | Data Scientist | A rockstar engineer when it comes to programming and making use of state-of-the-art technologies. Worked as a Software Engineer for Cirrus Logic. Earned Masters in Computer Science from NC State and BE degree in Computer Engineering from VES Institute of Technology, Mumbai, India. 

 

Alochana Pati | Principal System Engineer | Brings vast experience in terms system engineering, software quality assurance for product and services targeted for market spanning from Finance, Banking, Analytics platform to Telecom. Most recently played system test lead for Apple backend applications. Employed with prominent employers such as IBM and Infosys Technologies. 

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