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RAVENPACK: PROCESSING NATURAL LANGUAGE


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Integral service around a transaction
BY : Diego GutiérrezNovember Thu, 2019

Ravenpack is a company technology which has just sold part of its shares to the British investment bank GP Bullhound, which specialises in technology.

It has done so in a round valued at 10M$.

Today, artificial intelligence technologies and Big Data tools are starting to be incorporated to process natural language, especially in financial services.

This is reflected in the sector's corporate finance movements.

WHO IS RAVENPACK?

Ravenpack is a Spanish data analysis platformbased in Marbella and with an office in New York, which leading in natural language processing and machine learning.

It uses artificial intelligence to create sentiment indicators from news and social networks, which are connected to the trading systems of subscribing financial institutions.

Its database comprises more than 19,000 sources and enables these institutions to improve their performance and risk management.

The company competes in some segments with Bloomberg and Refinitiv, and has clients such as Credit Suisse, JP Morgan and Deutsche Bank.

In addition, its technology is used by leading hedge funds and fund managers globally.

As a result, in October 2019, Ravenpack sold part of its shares in a round valued at 10M$.

The new investor is GP Bullhound, a London-based technology investment bank, which has already made other investments in Spain, namely in OnTruck, Stratio, Playtomic and Auro.

The investment has been made through Fund IVa €113m tech fund that recently invested in Glovo, Klarna, TRadeshift and LendInvest.

SECOND INSTITUTIONAL FUNDING

This is the second time that Ravenpack sells part of its shares and is institutionally financed for this.

Already in 2017, it did so to the value of 5M$ to the signature of Venture Capital Draper Esprit PLC, also London-based.

Then they had 40 employees. Now there are 120, with plans to hire another 50 people over the next 2020.

ENTRY INTO THE ASIAN MARKET

Ravenpack's objectives with this operation are twofold:

  • Access to other sectors beyond financial services
  • Expansion in Asia

It is worth noting the strong growth in demand for the use of its data analysis services.

In 2018, 80% of sales were made between Europe and the U.S. Now, following success on both continents, the potential of the business now lies in Hong Kong, Singapore and Tokyo, cities with large investment banks.

However, it is worth mentioning that the firm has also been working for several years with Macquarie Bank in Australia, one of the strongest banks in that country.

OTHER RELEVANT OPERATIONS IN THE SECTOR

SHERPA

Sherpa is a company based in Bilbao and Silicon Valley, responsible for creating Digital Assistant Technology based on artificial intelligence algorithms with strong conversational and predictive skills..

Its technology is designed for manufacturers of consumer products such as automobiles and electronic accessories looking to add intelligence, as well as explore new business models based on digital service offerings.

Recently, it has been able to lift 8.5M$ in its latest Series A financing round.

UNBABEL

Unbabel is a firm that enables companies to serve customers in their native languages, with scalable, always-on translation through digital channels..

Its clients include leading brands such as Facebook, Microsoft and EasyJet.

Last September, it managed to capture 60M$ in a round of funding C series.

Our diferentiation

Market Research Technology
Our team of market analysis specialists is continuously analyzing the investments of the most active markets in the industry in order to unceasingly contribute ideas of the current market situation and identify the most relevant trends for senior management. We integrate the most relevant sources of information which allows us to discover the most interesting companies for venture capital and similarly helps us to identify the investors with the highest probability of involvement in an M&A process to ensure the success of our sell-side operations.

The reports and deductions of our advisors provide a broad view of the sector, both geographically and from the complementary or adjacent markets perspective.
Technology Data Analytics
for M&A
Advanced data anlytics is a weapon". Intelfin is an artificial intelligence tool we use for investing and creating value in SMEs through competitive analytics and the enterprise environment.

IntelFin consists of a cognitive system, which, through the application of advanced analytical technologies, facilitates the automation of investment and financing decisions in the field of non-listed companies and especially SMEs in high-growth sectors.

The information related to these companies is characterized by their lack of transparency and heterogeneity; thus, it is necessary to develop an advanced analysis which is as much predictive as prescriptive and is developed in a natural language custom, suitable to obtain greater clarity and knowledge of the investment scope.

The IntelFin system focuses especially on analyzing the variables that define and influence the competitive environment of a sector and the positioning of a company, analyzing their influence on future value creation. Therefore, IntelFin supports strategic decision-making to senior management by resolving questions such as:

¿What are my competitors' priorities, strategies and expansion plans? Who's my competition? Which competitor is most likely to grow at a higher rate?
Which areas of activity/business models will receive the most investment? Which sectors are most attractive to investors?
Which companies are going to experience the most growth in the near future? Which companies are most likely to receive investment or be acquired?
Training Methodology
We have developed training programs in an innovative set-up which guarantees our teams the acquisition of technical competences both in the field of corporate finance and in the field of psychology, that is much needed when it comes to negotiation processes.

We have a culture of continuous improvement of our processes, closely related to the use of information systems that allow the enhancement of internal communication between our teams, as well as external communication with our customers. Hence, we extend best practices identified internally in an efficient and rapid manner among our members.

Are you one of those who prefer to be well informed when making decisions?

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