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A UK based company looking for partners to assist in the development of several projects in the Fintech, marketing and defense sectors via a joint venture agreement or License agreement

Country of Origin: United Kingdom
Reference Number: TRUK20191004001
Publication Date: 4 October 2019

Summary

A UK based company is looking for partners to assist in the development of several projects in the fintech, marketing and defense sectors. The company is interested in software development and IT consultancies in the finance/banking sectors or companies / research organisations in other sectors that can help develop and implement cloud-based architectures, through a joint venture agreement or license agreement.

Description

The company, based in the North East of England was established in 2005 to exploit and develop an enhanced version of a proof of concept software, a prototype for anomaly detection of a company’s financial data (specifically share price, volume of shares and number of shares traded), and assess the anomalies cause using a “Bag of Words” analysis of news from internet news sites.  

Since the initial prototype, the company, now working with compliance officers for major banks, has refined the concept and developed a new design incorporating voice, text (from several e-comm systems), internet news feeds and financial trading data. The company’s continued interest in natural language processing of text data has led them to developing their activities towards other sectors which require data mining of massive textual data sets, typical of those found in marketing response and customer survey satisfaction studies.

The company has extensive experience of developing software for analysis of different data sources using open data languages such as Python on open data platforms such as Anaconda. It has also developed front and back end software using applications such as C#.Net and SQL Server and has developed expertise in the use of AWS (Amazon Web Services) as well as Google’s cloud-based data platform, BigQuery.


The company is now seeking partners in the following areas: Banks/hedge funds or other financial institutions who are willing to assist with development of the company’s anti-insider trading and market manipulation product offering. They also hope to attract IT companies with experience of front-end development and cloud-based architecture.

They are also pursuing companies to apply its expertise to firms dealing with large amounts of textual data. Typically, this could be in response to large scale marketing campaigns, customer response surveys on the feedback reviews of a new product, or the alteration to an existing product similar exercise of data gathering based on customer complaints against products or services in the hope of extracting common themes to issues raised by customers.

Expertise sought

Developers with substantial experience in one or more fields including, database and front-end development, experience of big data analytics either with large volumes of unstructured text data using or extracting semantic information from voice communications. 

or end users to test and develop services

Stage Of Development

Under development/lab tested

Requested partner

The following partner types and roles are sought in the context of a joint venture agreement or license agreement A) Developers who would typically be SME’s or larger organisations with substantial experience in one or more fields including, database and front-end development, experience of big data analytics either with large volumes of unstructured text data using or extracting semantic information from voice communications. All should have experience of working preferably in the financial sector but other expertise with large amounts of customer or customer response data. 

Or

B) Users who will be potential customers or end users ideally in banks and or hedge funds capable of providing data and/or expertise, the company is also interested in “pivoting” its position in order to work with clients who wish to investigate large volumes of customer data regarding product sales/comments/complaints in order to derive insights into customer buying habits, possible new products or amendments to existing products, and common themes to customer grievances.

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